Titlebook: Recent Advances in Intrusion Detection; 8th International Sy Alfonso Valdes,Diego Zamboni Conference proceedings 2006 Springer-Verlag Berli

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FLIPS: Hybrid Adaptive Intrusion Preventionk from succeeding. An intrusion prevention system (IPS) adds protection mechanisms that provide fail–safe semantics, automatic response capabilities, and adaptive enforcement. We present . (Feedback Learning IPS), a hybrid approach to host security that prevents binary code injection attacks. It inc

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Towards Software-Based Signature Detection for Intrusion Prevention on the Network Cardmented in software on a network card equiped with an Intel IXP1200 network processor. One card can be used to protect either a single host, or a small group of machines connected to a switch. . is non-intrusive in the sense that no cycles of the host CPUs are used for intrusion detection and the sys

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Defending Against Injection Attacks Through Context-Sensitive String Evaluation shell injection vulnerabilities. Existing methods for defending against injection attacks, that is, attacks exploiting these vulnerabilities, rely heavily on the application developers and are therefore error-prone..In this paper we introduce CSSE, a method to detect and prevent injection attacks.

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On Random-Inspection-Based Intrusion Detectionthis monitoring mechanism as one root cause that makes system-call-based intrusion detection systems vulnerable to mimicry attacks. We propose random inspection as a complementary monitoring mechanism to overcome this weakness. We demonstrate that random-inspection-based intrusion detection is inher

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Environment-Sensitive Intrusion Detectionel. We improve the effectiveness of such model-based intrusion detection systems by incorporating into the model knowledge of the environment in which the program runs, and by increasing the accuracy of our models with a new data-flow analysis algorithm for context-sensitive recovery of static data.

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