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Intrusion Detection System Auto Response Risks and Best Practices

An intrusion detection system can identify suspicious activity. Once an alert is generated, a decision has to be made. The alert can be logged, escalated, or used to trigger some form of response. Each option carries different levels of risk, and acting too quickly can be as damaging as not acting at all. This is the space where post-detection response decisions are made. . Response feels like the logical next step. In practice, it introduces operational complexity, trust issues, and failure modes that detection alone does not. What Happens After an IDS Detects a Threat Detection has already occurred. An alert exists from intrusion detection systems (IDS) . Nothing has been blocked yet. What follows is a decision. After detection, response workflows introduce operational risk: An alert forces a choice: log it, escalate it, or respond Not every detection is accurate or actionable Automatic response is where most IDS failures occur Response is optional by design. Treating every alert as something that must trigger action is how response logic causes outages instead of stopping attacks. A common example illustrates the problem. An IDS flags unusual outbound traffic from a server late at night. No traffic has been blocked. The activity could be data exfiltration, or it could be a scheduled backup. Automatically responding could disrupt legitimate operations. Ignoring the alert could allow malicious activity to continue. This gap between seeing activity and acting on it is well established in research on post-detection response , which is treated as a distinct and complex phase rather than an extension of detection alone. What Happens After Detection: Alerting and Response Detection is already complete. Post-detection workflows begin only once an alert exists. Detection: Activity has been observed and classified. This step is finished before any response is considered. Alerting: The system records the event or notifies operators. Alerting createsvisibility. It does not mitigate risk. Response: Action may be taken automatically or deferred. This is where intrusion detection methods, after detection, introduce enforcement, and where intrusion detection's active response creates the highest potential for failure. Follow-up: Human review or downstream systems validate the alert, contain the issue, or dismiss it. Problems arise when these steps are collapsed. Treating alerting as prevention shifts decision-making into automation and removes context. This separation between visibility and mitigation is a core principle in work on intrusion response systems , where response is treated as a distinct post-detection phase rather than an extension of alerting. IDS Alerting vs Blocking: What’s the Difference? Alerting and blocking get lumped together because they sit close in the workflow. Operationally, they are distinct actions with different blast radii. Action Blast Radius Risk of Outage Best Use Case Alerting None Zero Low-confidence or high-noise signals Shunning Localized Medium Known-bad scanners or repeat sources Session Reset Session-only Low–Medium Disrupting active misuse Firewall Rule Network-wide High High-confidence, critical events Deception None Low High-value targets with unclear attribution Alerting provides visibility. Blocking intervenes. Confusing the two is how IDS deployments drift into enforcement without the controls that enforcement requires. IDS Alerting (Low Risk, High Confidence) Alerting records and surfaces activity without changing traffic flow. It is passive by design. Events are logged for review and correlation Notifications are sent to analysts or SOC tooling Alerts feed workflows without enforcing decisions This is where intrusion detection active response is least dangerous. Mistakes create noise, not outages. IDS Blocking (High Risk, High Consequence) Blocking changes system behavior. Traffic is interrupted based on the detection output. Network traffic may be dropped or redirected Access can be denied to users or services Active sessions may be terminated mid-stream At this point, intrusion detection active response becomes enforcement. Detection errors turn into user impact, broken services, or self-inflicted denial of service. Alerting scales safely. Blocking scales failure. Automated IDS Response Techniques Used After Detection Automated response is where intrusion detection's active response moves from observation into intervention. These techniques are applied only after an alert exists and are often triggered without human review. The mechanics vary. The risk profile does not. Shunning (Temporary Source Blocking) Shunning applies short-lived blocks to sources associated with an alert. Enforcement is usually limited by time, protocol, or scope, and is often carried out through external controls. The approach looks contained, but the failure modes are familiar. IP addresses are reused. Source information can be spoofed. Legitimate traffic can be caught in the same net. What starts as a narrow response can turn into collateral damage. Connection Resets and Session Termination Some systems attempt to disrupt active communication rather than block future traffic. This is typically done by forcing connection resets or tearing down sessions in progress. These actions do not stop attacks. They attempt to interrupt them. Success depends on timing, protocol behavior, and whether both endpoints honor the termination. Partial resets and failed teardowns are common, leaving attackers connected while operators assume the issue is contained. Deceptive Response (Redirection and Decoys) Deceptive response avoids blocking entirely. Instead of denying access,suspicious activity is redirected to controlled decoy environments. This approach limits the blast radius. Legitimate users are not interrupted, and production traffic is left untouched. When confidence is low, but visibility is valuable, deception allowsa response without enforcement. Deception works best when attribution is unclear, and outages are unacceptable. It trades interruption for intelligence, which is often the safer option. Firewall Integration After IDS Alerts In more aggressive setups, IDS alerts trigger rule changes in firewalls or other enforcement systems. Detection output is translated directly into access control. This is where intrusion detection active response methods carry the highest risk. Detection errors become enforcement errors. Delays, synchronization issues, and unreliable control paths all compound the problem. Once rules are pushed, rollback and accountability become operational concerns, not theoretical ones. How these response techniques are implemented depends on IDS deployment and configuration. Why Automated IDS Response Can Fail Automated response breaks when the detection output is treated as truth. Alerts are signals, not verdicts. Acting on them without friction turns uncertainty into impact. False positives stop being a tuning issue once enforcement is attached. A noisy signature that only generates alerts wastes time. The same signature tied to a response can block traffic, reset sessions, or cut off users. IDS false positives scale damage fast. In most enterprise environments, the majority of IDS alerts never represent a real compromise. When the response is automated, that noise turns into action. The cost imbalance matters. A missed alert may or may not become a breach. A self-inflicted outage causes immediate loss due to downtime, operational disruption, and SLA breaches. This asymmetry is why human review remains part of the response, even in mature programs. Spoofing pushes this further. If response logic trusts sourceattributes that can be forged, an attacker doesn’t need access to your network. They just need your IDS to react. Blocking based on spoofed packets is an easy way to cause a self-inflicted denial-of-service. Not every detection should ever trigger a response. Some signatures are meant for visibility. Others work in aggregate but fail at the event level. Ignoring trust boundaries between detection and enforcement is where intrusion detection response risks show up in production. These failure patterns are well documented in work on automated intrusion response risks , where false positives, spoofing, and over-automation consistently undermine otherwise effective detection. When IDS Should Not Respond Automatically Automatic response is not a default. In many environments, it’s the wrong move. There are clear cases where IDS should stop at alerting and hand off to a human. These are situations where confidence is low, impact is high, or attribution can’t be trusted. Automating response here increases IDS active response risks without reducing attacker capability. Common examples include: High-volume, low-confidence alerts Noise scales faster than accuracy. Automating response just amplifies false decisions. Easily spoofed traffic If source identity can’t be trusted, response logic can be turned against you. Internet-facing services with shared dependencies Blocking one signal can break unrelated users, applications, or upstream services. These cases reinforce why a human-in-the-loop still matters. Judgment, context, and awareness of downstream impact don’t compress well into rules. Newer detection models attempt to reduce noise and improve confidence, but even modern IDS approaches don’t eliminate the need for restraint. Automation may get better. The risk tradeoff doesn’t disappear. IDS vs IPS: Why Automated Response Changes the Security Model Detection and prevention are often discussed together. Operationally, they serve different roles. The distinction is straightforward: IDS provides visibility and detection IPS performs inline enforcement and prevention Automated response collapses this boundary and pulls detection closer to IDS and intrusion prevention systems behavior, even when the deployment was never designed for inline control. When an IDS starts blocking traffic or terminating sessions, it inherits enforcement risks without enforcement guarantees. Latency, fail-open behavior, and traffic integrity become concerns, even though the system was built for observation. This shift matters. Adding response to detection changes trust boundaries, failure modes, and accountability. It moves the system from visibility into control, whether that was intended or not. Operational Risks of IDS Active Response Active response adds moving parts to systems that were built to observe, not enforce. The risk isn’t theoretical. It shows up in timing, reliability, and ownership. Latency and race conditions are common. Alerts fire faster than enforcement channels can react, or arrive out of order. A response that lands late can miss the window entirely or hit the wrong target. At scale, these edge cases stop being rare. Enforcement paths also fail. Firewalls, controllers, and external systems don’t always respond when asked or respond partially. When the response is automated, there’s no pause to verify whether the action actually took effect. IDS operational risk grows when detection assumes enforcement succeeded. Change control is another pressure point. Automated actions modify live systems without the guardrails used for planned changes. Rollback is often manual, slow, or undefined. When automation fails, accountability becomes unclear, which is where intrusion detection response risks turn into organizational ones. Best Practices for Using IDS Response Safely Safe use of response starts with restraint. Alerting should be the default. Blocking should be the exception. Automation is mostdefensible when it’s limited to narrow conditions: High-confidence events with a consistent signal High-impact incidents where delay clearly increases damage Scenarios with low spoofing and attribution risk Even then, the response must be easy to disable. Systems change, traffic patterns shift, and yesterday’s safe automation can become today’s outage trigger. IDS active response best practices favor reversibility over speed. Takeaway: Detection Is Not Prevention IDS works best as a decision-support system. It provides visibility, context, and early warning. It does not provide control. Automated response trades speed for certainty. Acting faster often means acting with less context. When response logic is poorly designed, it increases risk instead of reducing it, even if detection quality is high. Detection and prevention serve different roles. Blurring them without intent or safeguards turns a visibility tool into an unreliable control point. Detection should inform decisions, not replace them. . Understand the complexities of IDS active response, risks involved and best practices to implement for effective security measures.. Intrusion Detection System, Automated Response, Security Risks, IDS Best Practices, Alert Response. . MaK Ulac

Feb 02, 2026 •

MaK Ulac Network Security

intrusion detectionbest practicessystem updates

Best Practices: Securing Linux from Bots, DDoS, and Threats

Linux systems have long been an indispensable asset to businesses and individuals alike. From running servers and cloud infrastructure to powering personal computers, Linux provides companies and individuals with unparalleled stability, flexibility, and security - making it the ideal platform for future development. . One of Linux's key advantages lies in its open-source nature. Since the code behind Linux has been made publicly accessible, developers and security professionals worldwide can use it to constantly audit, optimize, and reinforce systems for their specific needs - helping them stay ahead of everything from productivity to security issues. Linux is an attractive and secure solution, but that doesn't make it foolproof. Though its open-source nature makes Linux appealing, its vulnerability has allowed attackers to study its source code and devise exploits targeted explicitly against it. Understanding Linux Threats: How Malicious Bots Target Your System One of the most pressing threats to Linux systems today is malicious bots, which automate attacks such as brute-force login attempts, data scraping, and DDoS . Because cybercriminals have access to the same information ethical bodies do, there has been a constant race between security professionals and malicious actors ever since Linux grew popular, as both work to patch or exploit vulnerabilities as fast as possible. Because of these risks, it’s up to businesses and individuals using Linux to take a proactive approach to security, implementing all of the best practices to protect their Linux environments and ensure they can’t be successfully targeted. So, what are the best practices? Effective DDoS Prevention Strategies for Linux Systems When bots disrupt traffic, one of the best DDoS prevention strategies is combining advanced technology like AI with real-time threat analysis, creating a robust protection environment that can fight both simple and complex DDoS attacks. Looking at more straightforward attacks,security can be achieved by implementing multi-layered authentication or utilizing content delivery networks. CDNs work well to distribute traffic across multiple servers and absorb unexpected traffic spikes. But in 2025, things have become a little more complicated. Nowadays, it’s become necessary to utilize advanced software processes – processes that can analyze 5 trillion signals a day to detect and block known malicious bots and emerging threats. In the cybersecurity industry, speed is everything, and the right software will ensure you have the speed and accuracy to protect your Linux system. Boost Your Linux Security with Network Segmentation Techniques One of the big problems with cyber criminals is that they utilize lateral movement to infiltrate your network. By this, we mean if there are no barriers or segmentation between different parts of a Linux system, cybercriminals can easily access one part of the network and then most laterally or horizontally escalate their privileges. This allows them to exploit a single vulnerability to reach other critical systems across your entire network. By implementing network segmentation , however, you will mitigate this risk by dividing your network into smaller, isolated sections – or subnets. Each subnet can have its security policies and access controls, ensuring that even if a bot compromises one part of the network, reaching other areas without additional authentication is impossible. In addition to this, you should also be implementing firewalls to control inbound and outbound traffic. A well-configured firewall, for instance, can block unwanted visitors in the first place, limiting access to critical system resources and mitigating these initial attempts to exploit vulnerabilities. Stay Secure: The Importance of Regular Linux System Updates Lastly, the best practice we recommend for businesses and individuals is regularly updating their Linux systems . Even in 2025, simply keeping your Linux systems up to date is one of the mosteffective ways to protect them from malicious bots – particularly unpatched software that bots can easily leverage to compromise a network. Regularly applying security patches and updates from trusted sources ensures that your system remains strong, reliable, and consistently resistant to threats, which can ultimately minimize the risk of malicious bots exploiting any outdated components. Even without a fully-fledged IT team, this is doable. For instance, plenty of companies out there offer automated Linux patch management, helping to prevent delays in updates and ensuring they happen behind the scenes, eliminating the risk of human error and updates being missed. Implement Intrusion Detection Systems (IDS) Intrusion Detection Systems (IDSs) can help Linux administrators increase security by monitoring network traffic and system activity to detect any sign of malicious behavior or policy violations. Popular tools among Linux users for IDS use include Snort and OSSEC - two open-source network intrusion prevention systems using rule-driven language analysis of traffic while OSSEC offers a comprehensive host-based solution that integrates log analysis, integrity checking and alerting functionality - these allow administrators to quickly detect suspicious activities before any damage caused by malware infections occurs. Conduct Security Audits and Penetration Testing Conducting periodic security audits and penetration testing ensures a secure Linux environment. Security audits entail carefully reviewing your system's security posture to assess policy compliance while identifying weaknesses. Linux users can use tools like Lynis and Tiger to monitor security issues on their system, such as user accounts, software patch levels, and file permissions. Lynis is a security auditing tool, while Tiger performs in-depth system checks, including file permissions. Tiger is another Unix security checker that scans your system and provides detailed reports. Penetration testing helps identifyvulnerabilities before attackers exploit them, giving security teams time to discover them before attacks occur. Metasploit Framework and Nmap are invaluable for penetration testing on Linux systems. Metasploit provides a complete environment for writing and executing exploit code, while Nmap aids network discovery and security auditing. With these practices and tools in their arsenal, Linux users can proactively identify and mitigate security risks to safeguard themselves against potential malware attacks. Keep Learning about Best Practices for Securing Linux Systems Applying this – and the other best practices we discussed – will put you in the best position to earn all of the benefits of Linux systems without any of the negatives. We’re not saying you won’t still get targeted. Thousands of businesses and individuals are targeted every day. But through being proactive and applying these practices, you’ll be well placed to deal with the threats and keep your Linux systems operating smoothly and sufficiently. . Safeguarding Linux systems from invasive bots requires adopting best practices like regular software updates, firewalls, strong passwords, and two-factor authentication. Linux Security Practices, Malicious Bots Defense, DDoS Prevention Methods, Network Segmentation Strategies, Security Audits Tools. . MaK Ulac

Jan 31, 2025 •

MaK Ulac Network Security

security advisoryintrusion detectionpatch management

Protecting Linux & VMware from Helldown Ransomware Threats

Recently, cybersecurity researchers discovered a Linux variant of the Helldown ransomware strain . This finding signals that threat actors have begun targeting VMware and Linux systems as attack vectors, indicating an increased focus on such platforms for attacks targeting Linux-based machines. . With ransomware attacks becoming increasingly sophisticated and prevalent across these systems and platforms, understanding their targets, impact, and workings is crucial in safeguarding against service disruption and data loss. I'll explain how this new Helldown variant works and who is at risk. I'll then offer practical advice for securing your systems against this emerging threat. Understanding How Helldown Ransomware Works Cyfirma first identified Helldown Ransomware Group (HHG) in August 2024. Helldown is known for exploiting vulnerabilities to gain entry to networks, using double extortion tactics where data is stolen and then threatened to be published unless a ransom payment is made. While the details and processes employed by the Helldown group remain largely unexplored, recent analysis indicates their methods include exploiting vulnerabilities found in network devices like firewalls and VPNs to gain initial entry. Once inside, they move laterally through networks using various persistence mechanisms. Targeted Victims & Impact of Helldown Ransomware Helldown targets small to mid-sized businesses, although larger organizations aren't immune. By attacking network and cybersecurity solution providers like Zyxel Europe, Helldown aims to cause maximum disruption among entities that provide services to multiple clients simultaneously. Most victims reside within the US or Europe. Helldown ransomware for Windows typically deletes shadow copies, terminates certain processes, and encrypts files, making them inaccessible without the decryption key. A ransom note then demands payment in exchange for retrieving your data. On Linux systems, however, Helldown encrypts files affecting criticalinfrastructures running VMware or Linux servers, causing downtime, financial losses, and data breaches in affected organizations. Practical Advice for Securing Linux and VMware Systems Against Helldown Ransomware Organizations seeking to protect themselves against Helldown ransomware must implement rigorous security practices tailored to Linux and VMware environments. Effective patch management is necessary. Operating systems, applications, and network devices like firewalls or VPNs must be regularly patched as soon as updates become available. Furthermore, vulnerabilities like those found in Zyxel firewalls must be quickly addressed to close off potential entryways into systems. Network segmentation is another essential practice. Organizations can limit attackers' lateral movement by breaking their networks into smaller segments and controlling traffic flow between them with stringent policies. If one segment is breached, attackers cannot quickly gain entry to others. Multi-factor authentication (MFA) adds another layer of protection when accessing critical systems and remote access points. MFA requires multiple forms of verification before gaining entry, further strengthening protection. Regular backups should be created and stored offline or in immutable storage to safeguard essential files against ransomware encrypting them. Testing backups frequently ensures their integrity and ability to restore systems effectively. Relying on advanced Endpoint Detection and Response (EDR) solutions can help monitor and mitigate unusual behaviors on endpoints. These solutions provide real-time malware detection, rapid incident responses, and containment against ransomware activity. User training is another vital ransomware protection measure. Inform employees about ransomware threats, phishing tactics, and safe online practices. Regular sessions will equip staff to recognize potential threats quickly and respond appropriately, thus decreasing the probability of successful phishing attacksthat lead to ransomware deployment. Implementing adequate access controls is also of utmost importance. User privileges should only extend as far as necessary for their role and always follow the principle of least privilege. This principle restricts access to sensitive data and systems, reducing potential damage should an account become compromised. An Intrusion Detection and Prevention System (IDPS) should be deployed to monitor network traffic for suspicious activities, block potential threats, and promptly alert security teams to any strange behaviors detected in their network. Lastly, periodic security audits and vulnerability assessments can help identify security weaknesses. An external review by cybersecurity specialists offers fresh perspectives on potential risks and areas for improvement. Our Final Thoughts on Protecting your Linux & VMware Environments Against This Emerging Threat The spread of Helldown ransomware targeting Linux and VMware systems underscores the ever-evolving landscape of cybersecurity threats. Organizations can better prepare and defend against Helldown and similar threats by understanding its mechanisms and preferred victims. Implementing layered security measures, including regular updates, user training programs, and advanced monitoring solutions, will significantly strengthen Linux and VMware environments' security against similar ransomware infections. By remaining informed and proactive, admins and cybersecurity professionals can minimize risks while maintaining system availability in an ever-changing cyber threat landscape. . Examining the ramifications of Helldown ransomware on Linux-integrated VMware environments and the strategies for ensuring robust protection against potential breaches.. Helldown Ransomware, Linux Security, VMware Threats, Endpoint Detection, Cybersecurity Measures. . Brittany Day

Nov 20, 2024 •

Brittany Day Hacks/Cracks

intrusion detectionsecurity practicesattack prevention

Mitigation Techniques For Espionage Threats On Linux Systems

Cybersecurity is an ever-evolving environment, with threat actors continually finding new methods of breaching systems and stealing sensitive information. Recent research has shed light on the sophisticated operations of threat groups and botnets that have successfully penetrated Linux server domains, creating significant risks to organizations globally. . Let's examine this concerning trend and the mitigation strategies you should implement to secure your systems and sensitive data. Security Researchers Are Witnessing Increased Espionage on Linux Platforms Security researchers have historically prioritized APT attacks targeting Windows platforms over those targeting Linux servers; however, scientific research sectors utilize Linux servers extensively as they host valuable and sensitive data that must remain protected at all costs. Threat actors have taken note and have started targeting these servers instead for malicious purposes. Recent research identified UTG-Q-008, an active threat group that targets Linux systems for espionage. Through comprehensive tracking efforts, it was confirmed that this malevolent group utilizes a massive botnet network to engage in its activities against research and education institutions. Notably, up to 70% of its infrastructure includes springboard servers—each activity using different sets. Its prolonged operations reveal the significant resources and expertise invested in such campaigns. Unveiling Botnet Threats in Linux Server Domains One of the more alarming trends observed in recent espionage activities targeting Linux servers has been the increased involvement of botnets. These malicious networks provide threat actors with virtually unrestricted resources, enabling them to carry out large-scale operations successfully. Using new springboard servers for each attack activity poses unique challenges to traditional defense mechanisms based on Indicators of Compromise (IoC) intelligence systems. Threat groups such as UTG-Q-008 utilize techniqueslike scanning and brute-forcing to gain unauthorized access to Linux servers. By employing distributed SYN scans and brute-force attempts, attackers can identify and compromise vulnerable systems through sophisticated exploitation techniques. Botnets' involvement in spy activities underscores the ever-evolving nature of cyber threats and the necessity of strong defense strategies against these attacks. Practical Recommendations for Mitigating Espionage Threats on Linux Systems With increasing threats aimed at Linux systems, administrators must strengthen the security posture of their systems to mitigate threats posed by threat actors and increase defenses against any potential espionage activities. Here are some practical recommendations designed to bolster your defenses: Implement Strong Authentication Mechanisms: For added protection from brute-force attacks on Linux servers, require complex and unique credentials for user accounts to secure them with complex credentials that prevent unauthorised access through brute-force methods. Maintain Regular Patch Management: Install software updates and security patches as quickly as possible to address known vulnerabilities that threat actors could exploit to compromise Linux systems. Network Segmentation and Access Controls: Establish robust network segmentation measures and strong access controls to prevent unauthorized access to sensitive systems and information. Monitoring and Intrusion Detection: Deploy advanced monitoring tools and intrusion detection systems to monitor for suspicious activities, unauthorized access attempts, or network traffic anomalies that might indicate suspicious activities or unusual traffic flow patterns. Enhance Incident Response Planning: Create effective incident response plans to swiftly address security incidents, limit breaches' impact, and restore compromised systems' integrity. Security Awareness Training: Provide users and administrators with training on cybersecurity bestpractices, social engineering threats, and the importance of remaining vigilant against potential attacks. Linux administrators who take a proactive and multi-layered approach to cybersecurity can protect their servers against potential espionage threats and ensure the integrity of data hosted on Linux servers. Our Final Thoughts on the Rise in Linux Espionage Threats Recent research findings demonstrate the increased espionage threats targeting Linux systems and underscore their need to prioritize cybersecurity measures and strengthen defenses against cyber threats. By understanding the methodologies employed by threat groups and botnets targeting Linux server domains, organizations can equip themselves with the knowledge and tools necessary to defend against sophisticated espionage activities and protect valuable assets from malicious actors. . Uncover the escalating risks posed by espionage activities aimed at Linux platforms and identify robust tactics to fortify your security measures.. Linux Espionage Threats, Botnet Attacks, Cybersecurity Alert, Protect Linux Systems. . Brittany Day

Jun 05, 2024 •

Brittany Day Security Trends

intrusion detectionmalware analysiscommunications privacy

Cybersecurity Skills Insights From Dr. Stefano Ortolani

We are launching a new series of interviews with Kaspersky Lab experts enquiring their opinion regarding cyber-security industry and related threats. Here, Dr. Stefano Ortolani tells us about the importance of programming and other special skills needed to become an expert in the cyber security industry. . His research interests comprise intrusion detection, malware analysis, systems security, and communications privacy. 1)What would you say is the main reason for students to study information security? Quite the difficult question this one. I would say because it teaches how to control and trust the digital environment we all live in, and thus also steer its further development. Let me explain it a bit further: we all know that too many times security details are currently overlooked and thus private details are still exposed. The link for this article located at ThreatPost is no longer available. . His research interests comprise intrusion detection, malware analysis, systems security, and communi. launching, series, interviews, kaspersky, experts, enquiring, their, opinion, regar. . LinuxSecurity.com Team

Feb 04, 2014 •

LinuxSecurity.com Team Security Projects

intrusion detectiondata breachcyber attack

Chinese Hackers Attack NY Times: Analyzing Defense and Protection Measures

For the last four months, Chinese hackers have persistently attacked The New York Times, infiltrating its computer systems and getting passwords for its reporters and other employees. . After surreptitiously tracking the intruders to study their movements and help erect better defenses to block them, The Times and computer security experts have expelled the attackers and kept them from breaking back in. The link for this article located at NY Times is no longer available. . Monitoring Chinese cybercriminals targeting The Washington Post to strengthen safeguards against online threats.. Chinese Hackers,Cyber Attack Strategies,Data Breach Prevention. . LinuxSecurity.com Team

Feb 01, 2013 •

LinuxSecurity.com Team Hacks/Cracks

intrusion detectiondata protectioncyber threat

US Initiative on Network Defense: Security Measures Against Cyber Threats

It will take several more years for the US government to fully install high-tech systems to block computer intrusions, a drawn-out timeline that enables criminals to become more adept at stealing sensitive data, experts say.. As the Department of Homeland Security moves methodically to pare down and secure the approximately 2400 network connections used every day by millions of federal workers around the world, experts suggest that technology already may be passing them by. The department that's responsible for securing government systems other than military sites is slowly moving all the government's Internet and e-mail traffic into secure networks that eventually will be guarded by intrusion detection and prevention programs. The networks are known as Einstein 2 and Einstein 3. . As the Department of Homeland Security moves methodically to pare down and secure the approximately . years, government, fully, install, high-tech, systems, block. . Anthony Pell

Dec 09, 2010 •

Anthony Pell Government

intrusion detectionnetwork monitoringsecurity tool

Exploring Honeyd: A Comprehensive Tool for Intrusion Detection

Honeyd, the brainchild of Niels Provos, is free open source software released under GNU General Public License. The first major release, 0.5, arrived in 2003, and the latest version I could track down, 1.5c, was released in 2007. Honeyd wasn't the first honeypot, but it quickly became the most accessible and flexible -- the first fully formed honeypot for the masses. . For many years, Provos worked to update his honeypot, wrote a book on it ("Virtual Honeypots: From Botnet Tracking to Intrusion Detection"), and gained wide participation from the open source community in developing add-ons and scripts. There have even been a few Windows ports of the Linux-based program over the years. Unfortunately, like most honeypot projects and Honeyd itself, they appear neglected. The Windows ports are mostly unusable, not working at all on any of Microsoft's latest operating systems. The link for this article located at InfoWorld is no longer available. . For many years, Provos worked to update his honeypot, wrote a book on it ('Virtual Honeypots: From B. honeyd, brainchild, niels, provos, source, software, released, under, general. . LinuxSecurity.com Team

Nov 17, 2010 •

LinuxSecurity.com Team Security Projects

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