Network Security
system security Linux network
system security Linux network The romanticized image of the digital nomad – a laptop on a sun-drenched balcony – rarely accounts for the actual friction of maintaining a professional development environment on the move. . The friction is amplified with Linux. We are looking for a setup that respects our kernel configurations, handles volatile network handovers, and maintains a strict security posture without the hand-holding of a consumer-grade OS – so, put simply, more than just a laptop and a sunny deck. The hardware is...
May 26, 2026
Server Securityopen-source Linux administration
open-source Linux administration Cron has existed in Unix and Linux environments for decades, handling backups, cleanup scripts, patching jobs, log rotation, monitoring tasks, and other maintenance work that administrators do not want to run manually. Most Linux servers rely on it constantly, which is exactly why attackers continue abusing it for persistence after a system has already been compromised. . Persistence through cron is not complicated. Attackers do not need a rootkit or advanced malware framework to maintain...
May 25, 2026
Vendors/Productssecurity breach linux
security breach linux A major internal repository breach at GitHub has exposed a critical and overlooked blind spot in Linux supply chain security. Kernel exploits, exposed SSH services, weak firewall rules, and vulnerable daemons dominated the Linux threat model for years, and in many environments, they still matter. But recent supply-chain incidents involving GitHub ecosystems, npm packages, and malicious developer tooling point somewhere else entirely: the developer workstation. . The breach matters because...
May 21, 2026
Security Trends access control multi-tenant
access control multi-tenant Linux administrators often face an ugly choice in the cloud: prioritize convenience and cost-efficiency by sharing infrastructure, or sacrifice those benefits for the sake of total isolation. Most modern Linux workloads don't live on their own private servers anymore. They live in shared environments like Kubernetes clusters, where multiple teams and services run side-by-side. It sounds efficient, and it usually is. . But cloud isolation isn't as ironclad as it looks on the diagram. If you...
May 21, 2026
Vendors/Productsincident response cloud security
incident response cloud security Managed Extended Detection and Response (MXDR) has become one of the most sought-after security services in the enterprise market — and with good reason. It promises the holy grail: broad visibility across endpoints, network, cloud, email, and identity, combined with the 24/7 human expertise most organizations simply cannot build in-house. . However, the rapid growth of the market has produced a wide range of providers whose capabilities vary considerably beneath the surface. Choosing the...
May 19, 2026
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data securitycybersecuritythreat detectionHow Edge Computing Secures Business Data from Cyber Threats
With the average number of weekly cyberattacks per company rising by 75% in Q3 of last year, the pursuit of effective cybersecurity is relentless in the ever-evolving threat landscape. And while the Internet of Things (IoT) may have introduced us to smart, hyperconnected devices, it’s also introduced a unique set of cybersecurity risks. . Luckily, there are ways to counteract these risks, such as using edge computing over cloud computing. But what is edge computing? In this article, we’ll look at what it is and discuss how implementing edge computing and edge security best practices can protect your business against data leaks, attacks, and unauthorized access. What is Edge Computing? Computing at the edge is the practice of processing, analyzing, and storing data near the source of generation—i.e., the “edge” of the network—rather than centralized cloud data centers. By bringing data closer to the location it’s being used, you reduce the distance it has to travel. This has numerous benefits, such as reducing latency, bandwidth use, and network congestion. For example, a smart warehouse might use edge devices like RFID tags and sensors to track the movement of inventory. Rather than have this data travel to and from a cloud data center, edge computing will process the data locally, either at or near the warehouse network. This allows for real-time analysis of inventory levels and, in turn, faster decision-making. IoT, Edge Computing, and Cybersecurity The IoT describes a network of physical “smart” devices and appliances that are enriched with sensors, software, and other technologies to communicate and exchange data with other devices. Smart cities, industrial IoT sensors, watches, health monitors, point-of-sale (POS) terminals—the list goes on and on, spanning vast consumer and business areas. This has caused the volume of interconnected devices across networks—and, in turn, the volume of data—to explode. Industries like healthcare andfinance handle particularly sensitive data, making them especially alluring to cybercriminals. In a single year, both industries reported a total of 1553 data compromises—and that’s just the attacks that were successful. All this sensitive information puts businesses at risk of data privacy breaches and cyberattacks. IoT devices are a prime target for threat actors, with IoT malware attacks increasing by 400% between 2022 and 2023. And, the more data you have, the harder it is to secure. So, rather than a cloud-only approach, businesses are integrating edge computing into their architecture. Luckily, the potential use cases of edge computing in IoT are abundant. How Edge Computing Enhances Data Security Let’s take a closer look at how edge computing hardens data security and reduces risk. Reduces Risks During Data Transmission The further your data has to travel, the more vulnerable it is to threats. Cybercriminals can secretly intercept and eavesdrop on in-transit data streams, allowing them to steal, redirect, or manipulate the data. In cloud models, data must travel long distances to and from the centralized data center, sometimes traversing entire continents. This leaves many opportunities for attackers to strike. Plus, when data is transmitted over long distances, it may pass any number of intermediary devices. This includes routers, switches, gateways, and hubs. Every touchpoint poses its own risk of potential exploitation, enlarging your attack surface and putting your data at risk of unauthorized access numerous times over. But in edge computing, the data is processed locally. This means that travel time and distance — and, in turn, any opportunities for interception — are significantly reduced. And, since data doesn’t need to encounter nearly as many intermediary devices en route, your attack surface is reduced. Enables Rapid Threat Detection and Response Edge computing enables near-real-time data processing and analysis, speeding up threatdetection efforts. With AI-integrated edge computing models, platforms can execute threat detection monitoring locally instead of waiting for data to travel to the central cloud server and back to the source. This means it can rapidly detect anomalies and instantly alert you to unusual activity, empowering rapid responses. This is particularly essential for fraud detection. For example, a bank or financial service can leverage edge computing to instantly analyze transaction data from POS systems, mobile banking apps, and ATMs. It can monitor patterns, identify anomalies, and pinpoint suspicious transactional behavior without the delays caused by long-distance data transmission. This isn’t just something enterprises can do — the best payment processor for small businesses should have similar capabilities. As a result, you can detect fraudulent activities like account takeovers and credit card fraud, and respond before they do any damage by immediately halting transactions and/or notifying the cardholder. Secures Data Through Decentralization Centralizing data has its benefits, including improved accessibility, consistency, and collaboration. However, widespread centralization can put sensitive data at risk of large-scale attacks. Placing sensitive data in centralized cloud servers increases its accessibility, providing more opportunities for internal and external attacks. Plus, threat actors are more likely to target centralized servers because they hold data in abundance—they’re essentially treasure troves for cybercriminals. By adopting edge computing, you decentralize sensitive data so that it's not all held in one location. If a threat actor does infiltrate your edge device, they’ll have access to a much smaller and incomplete pool of data. Edge Security Best Practices Of course, you can’t just implement edge computing and assume security is covered. There are still risks, and you need to follow key best practices to ensure multi-level data protection. Remember,as well as the below practices, to check the security policies of any services you use, such as your ESP (email service provider) or phone system. Data Encryption Encrypting data at rest (where it’s stored) and in transit (while traveling over networks) is critical. Encrypting data in transit: Data should be encrypted any time it moves between servers and devices, even if it's only travelling a short distance. Transport Layer Security (TLS) is an encryption protocol that secures communications in transit. Encrypting data at rest: IoT devices are at risk of theft and compromise, so they must be encrypted at rest to prevent hackers from reading and stealing information if a device is lost, stolen, or compromised. Strong encryption algorithms like Advanced Encryption Standard (AES) offer reliable security. Multi-Factor Authentication Multi-factor authentication (MFA) uses two or more verification factors to confirm a user’s identity. So, along with a password, it might also use biometrics, email codes, or push notifications. MFA is often used alongside risk-based authentication, which involves analyzing contextual and behavioral data to verify a user’s identity and/or identify suspicious activity. For example, it looks at the geo-location of where the device is being used, what time of the day/week it’s being used, and whether the connection is via a public or private network. So, if a user is trying to access information in a country they don’t usually reside in, or outside of their usual office hours, it could be flagged as suspicious. Microsoft fends off over 1,000 password attacks per second, and 99.9% of those that become compromised don’t have multifactor authentication. This highlights the importance of MFA in an age where simple passwords are easy to crack. Data sourced from Microsoft , image created by writer Maintaining software integrity and security One of the biggest risks posed by edge computing is that it’s designed tosupport a wide and abundant range of devices. The nuances of the different platforms or operating systems they run on can complicate the task of maintaining software integrity and security. To manage this, make sure to: Perform regular vulnerability testing across all edge devices to identify and remedy weak points. Check for device certificates and manage them appropriately Regularly update software to patch vulnerabilities, making sure to secure the process using over-the-air (OTA) updates, digital signatures, and TLS encryption. Network Segmentation Network segmentation splits your network into smaller segments. In edge computing, this typically means isolating your IoT devices from the rest of your network. Segmentation boosts network security by limiting how far attacks can spread. If one of your systems is affected by a malware attack, network segmentation means that it wouldn’t be able to spread to the other systems, minimizing damage and protecting sensitive data. Zero Trust Architecture Zero trust security operates on a clear principle: “never trust, always verify”. Every edge device must be authorized and authenticated every time it makes a request, regardless of its location in the network or its previous authentication status. Least-privilege access is a core part of zero-trust tools. With this, strict user permissions are used to make sure users only get the minimum access required to complete their tasks. That way, if a threat actor were to infiltrate the network, their exposure to sensitive data would be limited by the user's permission. Let’s say you’re looking into how to sell on Amazon without inventory. Not every member of your team will need access to customer data, so by minimizing access to your CRM, you can reduce your threat surface. Other core principles include continuous verification throughout sessions and risk-based authentication. Zero trust should also be encouraged at the user level. For example, zero-trust email securityaims to verify every email to prevent phishing attacks and other nefarious activities. Integrate AI detection tools with employee training to help them spot email spoofing, spear phishing, and other attacks. Edge Computing and the Future of Data Security Like cloud computing, edge computing does come with security risks. But when used as a strategic asset to manage the data abundance produced by IoT devices, its decentralization helps to harden your architecture against threats. By bringing data processing closer to the source, you minimize how far data has to travel to protect it from interception. You can reduce your attack surface, enable faster threat detection and response, and ultimately limit hackers’ exposure to sensitive data. To really benefit from edge computing security, implement best practices like data encryption, multi-factor authentication, and network segmentation. And finally, make sure to train your staff on their role—even the best security systems can suffer from human error. . Adopting decentralized computing strategies can bolster your organization's data protection in the face of increasing online security risks.. edge security, data protection, IoT devices, computing technology, cybersecurity measures. . MaK Ulac
Jul 12, 2025
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IoT Security
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security advisoryIT managementtwo-factor authenticationOpenSUSE Leap Micro 6.1: Implementing Two-Factor Auth and Immutable Systems
OpenSUSE Leap Micro 6.1 delivers cutting-edge features that are sure to catch the eye of security-conscious Linux admins and infosec professionals. This release offers two-factor authentication (TOTP) for PAM logins, significantly strengthening security protocols and decreasing risks of unintended access. . OpenSUSE Leap Micro 6.1 was explicitly created as an immutable host for container and virtual machine workloads , offering stability and resilience in edge computing environments. It builds upon the robust security features of SUSE Linux Enterprise Micro , providing a platform with enterprise-hardened foundations. Furthermore, key enhancements emphasize commitments to security, reliability, and performance - essential features in upholding stringent security standards. Let's examine the defining new features and capabilities of OpenSUSE Leap Micro 6.1 and how these improvements will benefit your secure Linux administration efforts. Enhanced Two-Factor Authentication OpenSUSE Leap Micro 6.1 introduces two-factor authentication (TOTP) for PAM logins - providing another layer of defense against intrusions or breaches through single-factor methods that expose systems. TOTP adds another level of security by necessitating passwords and time-sensitive codes generated on mobile phones as part of the authentication process. Two-factor authentication helps protect against phishing , password theft, and other cyberattacks that exploit weaknesses in basic authentication mechanisms. Linux administrators who opt to enable two-factor authentication through PAM gain peace of mind in knowing an extra barrier protects sensitive systems against unauthorized access. Immutability and Edge Computing Immutability is a hallmark of edge computing environments, and openSUSE Leap Micro 6.1 is no exception, thanks to its design as an immutable host. By remaining unchanged over time and resistant to corruption attempts, its consistency and unchangeability ensure a reliable environment suitable for runningcontainers or virtual machine workloads that rely on consistent performance without compromise or alteration from third parties. By being immutable, openSUSE Leap Micro 6.1 reduces potential threats by maintaining its baseline state, creating a safer and more predictable operating environment suitable for critical operations. Reliable Edge Deployment With decentralized data processing bringing opportunities and challenges, openSUSE Leap Micro 6.1 offers reliable edge deployment. Edge environments demand systems capable of withstanding remote operations while remaining stable under pressure. This release meets these needs and demonstrates reliability by accommodating fluctuating computing tasks typical at edge locations. OpenSUSE Leap Micro 6.1 serves enterprises well by offering them an enterprise-ready solution they can rely on. Integration with SUSE Linux Enterprise Micro Servers OpenSUSE Leap Micro 6.1 has successfully integrated with SUSE Linux Enterprise Micro beyond its structural promises, signifying more than just sharing code—it demonstrates an intensely deep commitment to security and performance derived from enterprise-level expectations. By merging enterprise security features with an already secure community-driven platform, this release brings enterprise-hardened compliance features to meet all industrial compliance regulations . Businesses looking for open-source solutions without compromising security will find this release to provide community innovation and corporate robustness simultaneously! Open-Source Features and Enterprise Applications Version 6.1 builds upon openSUSE's open-source legacy by taking full advantage of SUSE Enterprise Security Suite to improve security and compliance within environments governed by strict regulations. By marrying open-source technologies with enterprise features, this release creates an environment that provides flexibility and protection that caters to startups and large enterprises. Reliability and Performance Security isn'tthe only element enhanced in openSUSE Leap Micro 6.1; reliability and performance deserve special mention. With its immutable nature, downtime and maintenance expenses are drastically decreased to reduce overhead costs while guaranteeing smooth operations. Furthermore, by keeping a static baseline, system administrators can perform updates orderly—testing changes before rolling them out across their systems to eliminate risky updates that might compromise system integrity due to unexpected modifications. Simplified IT Management According to openSUSE, Leap Micro 6.1 is an all-inclusive toolkit designed to make managing IT infrastructures in complex and diverse environments simpler and less time-consuming. With its forward-thinking approach and in-depth understanding of current challenges, openSUSE Leap Micro 6.1 serves IT departments striving for optimal security and efficiency by offering enhanced authentication protocols, formidable edge computing support, and seamless enterprise integration, making openSUSE Leap Micro 6.1 an essential part of effective system management for Linux administrators. Strategic Importance Organizations can avoid security threats and operational challenges by employing tools such as openSUSE Leap Micro 6.1 as part of their arsenal against security risks and operational difficulties. This release is invaluable in supporting admins and infosec professionals in their quest for system safety and resilience by upholding stringent security measures while offering unprecedented reliability. As digital threats emerge more rapidly than ever, openSUSE Leap Micro 6.1 is an anchor of stability and security ready to meet current computing environments' requirements. Our Final Thoughts on the openSUSE Leap Micro 6.1 Release Adopting openSUSE Leap Micro 6.1 is more than just strategic; it represents an imperative move forward for enterprises searching for an ideal blend of open-source flexibility and security. By making informed choices when investing in solidifying ITinfrastructure with releases like this one, organizations will protect data and increase the efficiency and reliability of operations. With features like world-class authentication, immutable system architecture, and extensive integration capability, openSUSE Leap Micro redefines what security and reliability mean within the Linux ecosystem. You can download openSUSE Leap Micro 6.1 here. What aspect of openSUSE Leap Micro 6.1 are you most excited about? Reach out to us @lnxsec and let us know! . Fedora Silverblue 39 boosts stability through image-based upgrades, enhanced container support, and advanced system management tools.. OpenSUSE Micro, Two-factor Authentication, Immutable Host, IT Management. . Brittany Day
Dec 06, 2024
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security measuresOpenShiftKubernetesExplore OpenShift 4.17: AI Capabilities, Edge Computing, Security Focus
OpenShift has long been recognized as an outstanding platform for container orchestration and cloud-native app development, providing Linux administrators with a compelling suite of tools. With version 4.17's release, OpenShift continues its groundbreaking performance by unveiling numerous innovative features designed to strengthen AI integration, edge computing capabilities, and security measures - reinforcing Red Hat's commitment to providing cutting-edge solutions that address modern IT environments' changing demands. . In this article, I'll introduce the key new features of OpenShift 4.17 , exploring their impactful advances to operational efficiency, low latency workloads, and security measures. From AI-powered OpenShift Lightspeed virtual assistant to Red Hat Device Edge enhancements and security tools, we will show how these updates allow administrators to optimize infrastructures, drive AI initiatives, and ensure secure yet agile operations in an increasingly complex tech landscape. Introduction to OpenShift & Its Advantages for Linux Admins Red Hat's OpenShift Kubernetes distribution has steadily evolved into a robust platform that facilitates container orchestration and improves the cloud-native application management experience. Built upon Kubernetes, OpenShift seeks to offer developers and system administrators a smooth experience while simultaneously giving Linux administrators access to an enterprise-ready Kubernetes platform that simplifies deployment, management, and scaling for containerized apps. OpenShift brings many advantages to Linux administrators, beginning with comprehensive container management. Simple day-to-day operations are made simpler through its comprehensive approach to container orchestration, featuring automated rollouts and rollbacks, self-healing mechanisms, robust monitoring features, and properties that ensure optimal efficiency of operations. OpenShift also addresses security and compliance as its foundational focus. Its security architectureintegrates at every layer, from operating systems to container applications. OpenShift supports a secure environment with features like namespace isolation, role-based access control (RBAC) , and security policies to provide a protected environment for administrators to manage and deploy apps seamlessly across various cloud environments. Furthermore, its hybrid cloud approach makes OpenShift even more accommodating. OpenShift was designed flexibly, optimizing resource usage for organizations. It includes a suite of developer tools designed to streamline the application development lifecycle—from integrated CI/CD pipelines and source-to-image builds to user-friendly commands that accelerate development and deployment processes. New Features Introduced in OpenShift 4.17 OpenShift 4.17 brings several revolutionary enhancements aimed at AI integration , edge computing, and security - building upon its existing advantages. One such innovation is OpenShift Lightspeed , an AI-powered virtual assistant currently in technology preview. This assistant helps administrators troubleshoot applications and investigate cluster resources, significantly increasing operational efficiency through its intelligence and automation features. OpenShift AI 2.15 will offer new features, including a model registry for managing AI models, data drift detection to maintain model reliability, and integration with Nvidia's NIM microservices for large language model deployment and AI development and deployment processes. Red Hat Device Edge for edge computing specializes in AI-edge workloads with low latency requirements, supporting real-time data processing and decision-making at the edge with latency requirements below one millisecond for real-time processing and decision-making. Furthermore, this version expands support for Nvidia hardware through tech previews on Jetson Orin and IGX Orin platforms - two essential tools to accelerate AI workloads and boost edge performance. OpenShift 4.17 provides increasedvirtualization management through OpenShift Virtualization , including safe memory oversubscription and dynamic workload rebalancing to make managing virtual machines across multiple clusters easier. Furthermore, the Confidential Compute Attestation Operator provides native network isolation for namespaces to protect sensitive data during processing. "Red Hat AI's AI business unit offers significant improvements in terms of scalability, performance, and operational efficiency - making it possible for IT organizations to reap the benefits of powerful AI platforms without being limited by them in meeting individual business requirements," according to Joe Fernandes of Red Hat AI's AI business unit. This statement highlights Red Hat's dedication to providing enterprises with robust platforms that meet today's dynamic requirements. How to Download or Upgrade to the Latest Version of OpenShift Administrators and organizations looking to upgrade to OpenShift 4.17 can download it directly from Red Hat's official website . First, ensure a valid subscription before logging in and going directly to "Downloads. " Select "Red Hat OpenShift. " Select your infrastructure type installer from there, and follow on-screen instructions until the download completes. Upgrading existing OpenShift deployments to version 4.17 requires several steps. Before beginning, assessing whether your infrastructure is compatible with OpenShift 4.17 is essential, ensuring all custom resources or third-party integrations coexist. Back up your current OpenShift environment to protect against potential data loss and update the OpenShift client (oc) to the version that supports OpenShift 4.17. Use the OpenShift web console or CLI to initiate an upgrade and follow the step-by-step instructions in the upgrade documentation. After finishing an upgrade, thoroughly validate your environment to ensure all applications and services function as they should while addressing any potential issues as soon as they arise. Are you planning to tryOpenShift 4.17? Which new features are you most excited about? Connect with us @lnxsec, and let's discuss it ! Our Final Thoughts on the OpenShift 4.17 Release Red Hat's OpenShift continues to lead Kubernetes innovation with the release of version 4.17. By offering advanced AI capabilities, edge computing support enhancements, and strengthened security features, Red Hat provides an even more robust platform for developers and system administrators. OpenShift 4.17 equips developers and admins with all the tools necessary for success when developing cutting-edge AI apps or managing complex workloads at the edge. We encourage you to upgrade or download OpenShift 4.17 today to take advantage of these enhancements and reap the many benefits and improvements introduced in this release! It is a straightforward process that promises significant returns and benefits. . Discover the innovative features of OpenShift 4.17, such as AI integration, optimized edge computing, and strong security measures for efficient operations and management. OpenShift, Kubernetes, AI integration, edge computing, container management. . Brittany Day
Nov 15, 2024
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Vendors/Products
214
security advisoryconfiguration managementsupply chainLinux IoT Edge Security: Balancing Opportunities and Risks
The rise of Linux in edge computing and IoT brings both promise and peril. Linux dominates the IoT and edge computing landscape. Its flexibility and open-source nature make it the top choice for adopters. However, with such widespread usage comes heightened risk. . While Linux offers advantages, its openness can lead to vulnerabilities if not properly secured and maintained. Through unpatched devices, misconfigurations, supply chain exploits, and cryptomining, attackers continuously probe Linux's defenses. Defenders must remain vigilant. But armed with best practices and ongoing guidance from experts, the Linux community can mitigate the risks. With care, Linux's benefits can continue to outweigh its drawbacks across the expanding terrain of edge and IoT. Linux Dominance There's no doubt that Linux has become the operating system of choice for IoT and edge computing deployments. This open-source OS now accounts for the vast majority of software that runs on connected embedded devices or edge gateways. The flexibility, stability, and customization options that Linux offers perfectly fit the highly diverse use cases we see in IoT and edge computing infrastructure. Industry analyst Roy Illsley points out that “Linux leads all operating systems by far in IoT and edge devices.” The scale of Linux deployments in these areas is remarkable, with some estimates suggesting that Linux now runs on over 80% of all new embedded computing systems. Even Microsoft, with its capable Windows IoT platform, is far behind in comparison. Most experts agree that Linux adoption will only accelerate as IoT and edge computing continue to transform industries. The developer-friendly nature of Linux, combined with its modular architecture, open standards, and lack of licensing costs, make it nearly impossible to beat for the unique needs of connected devices. For the foreseeable future, Linux remains the platform of choice for the majority of organizations building out IoT and edge ecosystems. Security Concerns Linux has a reputation for security but is still vulnerable to exploits. As adoption spreads, attackers are increasingly targeting Linux devices. Weak default configurations, unpatched vulnerabilities , and software bugs expose systems. Esoteric hardware amplifies dangers by limiting visibility and control. Legacy code creates risks that are difficult to mitigate. While open source enables scrutiny, few audit Linux code deeply. Distributions lag in patching known issues. Complexity multiplies exposure surface and obscures problems. Automated scanning helps but is not foolproof. Linux admins and users cannot be complacent. Proper configuration, logging, monitoring, and patching are essential. A zero-trust approach provides defense-in-depth. Multi-layered security protects against both known and unknown threats. Patching Difficulties When it comes to patching and updating Linux deployments , especially at the edge, there are major challenges. The wide variety of distros and customized versions make centralized patching incredibly difficult. Older embedded devices may not even have options to update the Linux kernels and distros running on them. Unlike in the data center, where organizations have control and regular patching processes, remote edge devices can be neglected. The lack of visibility into the diverse Linux deployments means organizations don't even know the patch levels. And even if they did, trying to patch so many different customized distros is messy. This fragmentation is a huge issue when trying to maintain the security of Linux in edge computing. Misconfigurations One of the biggest risks with Linux in edge and IoT deployments that the article highlights is misconfigurations of the systems. With so many devices deployed, it can be easy for admins to improperly configure Linux settings and open themselves up to security issues. Things like default credentials, unnecessary services left running, and failure to enable security measures can give attackers an easy way in ifadmins aren't careful. The scale of many edge and IoT networks makes this especially concerning. Even if the chance of misconfiguration is low on any given device, with thousands or even millions of devices out there, attackers are likely to find weaknesses to exploit. Proper configuration management and hardening of these Linux systems is critical. Organizations can't just set them and forget them. They need to be proactively monitored and managed to identify and mitigate risks from misconfigurations. Failing to do so could have serious consequences. Cryptomining Threat One rising issue for Linux devices is the risk of being co-opted for illicit cryptomining. The open nature of Linux, the ubiquity of IoT gadgets running Linux kernels, and the increasing value of cryptocurrencies create a perfect storm. Linux systems can be compromised and used to mine cryptocurrencies without diligent security measures secretly. This consumes device resources and slows down systems while generating profit for attackers. Linux-based cryptomining malware is advancing in sophistication. Threat actors have developed stealthy techniques that fly under the radar by throttling mining speeds and masking traffic. Even worse, compromised devices can spread malware payloads further to propagate the cryptomining infection. This poses severe consequences for enterprises as CPU-intensive cryptomining can disrupt business operations and drive up electricity costs. Consumer IoT devices are impacted as well, with personal gadgets degraded by illicit mining activities. Proactive measures like access controls, least privilege principles, and real-time monitoring help mitigate the risks. But as cryptocurrencies become more valuable, Linux systems will continue to be probed for mining potential, requiring constant vigilance. Supply Chain Risks Vulnerabilities introduced into Linux devices via suppliers in the supply chain are a major concern. As Linux becomes more ubiquitous in IoT and edge devices, the number ofdifferent parties involved in building and distributing these devices increases dramatically. Each supplier in the chain could potentially introduce vulnerabilities, whether accidental or intentional. These risks span from the chips and other hardware components being compromised to pre-installed software containing vulnerabilities or backdoors. With multiple suppliers involved, there is an increased risk of a weaker link being exploited. The supply chain attacks may be sophisticated and hard to detect, so companies often blindly trust the hardware and software from vendors. Proper vetting and auditing of suppliers is critical. However there are challenges with existing solutions as many manufacturers feel it's too difficult and costly to perform thorough security reviews of suppliers. Often they rely on certifications or claims instead of doing comprehensive testing themselves. With lives potentially depending on the functions of IoT and edge devices, the need for better supply chain assurance is essential. Expert Guidance As Linux usage grows in edge computing and IoT, many industry experts have provided recommendations to help secure deployments. Careful configuration and constant vigilance are key. CIS Benchmarks offer configuration guidance and scoring tools like Lynis provide auditing. Multi-factor authentication protects logins. As edge Linux expands, a holistic approach can help balance convenience and security. Care, expertise, and constant improvement are essential. With prudent measures, the benefits can outweigh the risks. Future Outlook There are several key areas to monitor in the coming years regarding Linux security in edge computing and IoT devices. Open-source vulnerabilities will likely continue to surge as Linux expands its dominance in connected devices. More widespread adoption also creates a broader attack surface. Infosec pros should prioritize tools and processes to identify and patch Linux vulnerabilities quickly. As IoT devicesproliferate, botnets of compromised Linux devices could emerge as a major DDoS threat. Enterprises will need visibility and control over all connected devices. Multi-factor authentication, network segmentation, and behavior monitoring are critical safeguards. The supply chain risks around IoT devices and edge computing hardware containing Linux are severe. Vetting suppliers, firmware validation, and hardware integrity checks will be essential. Open-source firmware audits are also advised. AI-powered autonomous hacking presents a next-gen danger to Linux devices. Self-learning algorithms could eventually seek out and exploit vulnerabilities faster than humans. Proactive Linux hardening and behavioral AI detection solutions will be important defenses. With more mission-critical workloads handled by Linux in edge computing, the impact of outages and disruptions will magnify. Resiliency through multi-node deployments and redundancy is highly recommended. Our Final Thoughts on the Rise of Linux in Edge Computing and IoT As we've seen, Linux has rapidly become the dominant OS for edge computing and IoT devices. This growth brings many advantages, like flexibility, customizability, and lower costs. However, it also introduces new security risks that the industry is still learning how to address properly. Several key challenges were covered, including the difficulty of patching heterogeneous Linux devices, misconfigurations leaving systems exposed, the rising threat of cryptominers, and potential supply chain compromises. While Linux's open ecosystem enables faster innovation, it provides more opportunities for attackers as well. Experts agree that a layered security approach is needed. Multi-factor authentication, network monitoring , file integrity checking, access controls, and enhanced endpoint security all play critical roles. More work is still required to make secure configurations and best practices easier to implement for diverse edge hardware. The future of edgecomputing is bright, but security must remain top of mind. With collaboration across the open-source community and diligent efforts by enterprise adopters, Linux can continue flourishing as a secure, versatile OS powering our connected world. Though risks exist, they can be overcome through vigilance, expertise, and proactive security measures. . The growth of Linux in IoT and edge technology presents potential but demands meticulous actions to tackle security challenges.. Edge Computing, IOT Security, Configuration Management, Security Risks, Patching Linux. . Brittany Day
Jan 03, 2024
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IoT Security
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LinuxIoTcontainersEclipse Foundation Survey Highlights AI, Containers, and Linux Growth
For the eighth year, the Eclipse Foundation has surveyed Internet of Things (IoT) and edge developers, finding that when it comes to workloads, artifacts and OS choices, artificial intelligence (AI), containers and Linux all rank highly. . While those findings are similar to the 2021 report, the 2022 report shows the popularity of all those increased year over year when measured by the percentage of respondents who listed them. For example, AI was the most frequently selected edge computing workload in the 2022 report, listed by 38 percent of respondents, while that number was 21 percent in the 2021 report. . The 2023 IoT/edge developer report reveals major advancements in machine learning, virtualization, and open-source software, highlighting significant growth from previous years. AI Adoption,Linux in IoT,Edge Computing Trends,Developer Preferences. . Brittany Day
Dec 14, 2022
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IoT Security
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Linux distributionSUSE LinuxvirtualizationSUSE Linux Enterprise Micro 5.1 Hyper-Secure For Edge Computing
SUSE's latest SUSE Linux Enterprise Micro 5.1 release is ideal for those who need a lightweight and secure OS for their containerized and virtualized workloads. . Once upon a time, we got Linux distributions because they were the Swiss-Army Knives of operating systems. They came with every program you might ever need. You can still get those, of course. But, lately, businesses have been wanting lightweight, secure Linux distros for cloud and edge computing containers and virtual machines (VM)s. To meet that demand, the latest business-class Linux is SUSE 's new SUSE Linux Enterprise Micro 5.1 (SLE Micro). You can use SLE Micro as a single-node container host, Kubernetes cluster node, single-node KVM virtualization host, or, of course, in the public cloud. Since it's built to scale, you can also use it at the edge or to support edge deployments with mainframes. This makes it easier to move your workloads designs from monolithic to microservices at your own pace. . SUSE Linux Enterprise Micro 5.1 is tailored for robust, efficient tasks in edge computing and cloud settings.. SUSE Linux Enterprise, Edge Computing, Containerized Workloads, Virtualization. . LinuxSecurity.com Team
Oct 29, 2021
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Vendors/Products
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security advisorySUSEsecurity strategySUSECON 2021: New Security Features for Kubernetes and Edge Solutions
Rancher Labs headlined SUSE’s recent SUSECON Digital 2021 event. The recently acquired company has played a big part in SUSE’s overall security strategy including updates to its edge, cloud, and cloud-native products. . One of its more significant moves was the launch of its SUSE Edge platform. It’s designed as a lightweight software package targeted at building and managing cloud-native applications running in edge locations. It uses SUSE’s Linux Enterprise Micro operating system, the K3s Kubernetes distribution initially developed by SUSE’s Rancher Labs division, and a combination of SUSE and Rancher Labs components to manage cloud-native containerized workloads and non-containerized cloud-ready application workloads. . SUSE's recent enhancements prioritize cybersecurity through the introduction of their Edge ecosystem aimed at cloud-centric software solutions.. SUSE Edge,Kubernetes,Edge Computing,Cloud-Native Applications. . Brittany Day
May 25, 2021
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Cloud Security
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enterprise softwareopen-source solutionsopen source solutionsSUSE Unveils New Edge Solutions And Hybrid IT Innovations At SUSECON 2023
Enterprise-grade open-source software provider SUSE Linux has announced the latest news in its SUSE Linux Enterprise product, as well as new edge computing and hybrid IT solutions. In the words of SUSE CEO Melissa Di Donato: "Today's announcements demonstrate our commitment to innovation with game-changing enhancements to our SUSE Linux Enterprise and SUSE Rancher Kubernetes management technologies, new cloud-ready and cloud-native solutions for Edge and Hybrid IT environments, and a host of cutting-edge open-source projects." . SUSE , or "Software und System Entwicklung" (software and systems development, for the non-German speakers), made the announcements this week during its annual SUSECON conference, broadcasting from Nuremberg. . SUSE unveiled advancements in edge and cloud-enabled technologies, upgrading their business solutions with fresh developments.. Edge Computing, Hybrid IT Solutions, Kubernetes Management. . LinuxSecurity.com Team
May 20, 2021
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