A generic software architecture for deception-based intrusion detection and response systems
Michael, James Bret
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Today, intrusion detection systems provide for detecting intrusive patterns of interaction. Although the responses of such systems are typically limited to primitive actions, they can be supplemented with deception-based strategies. We propose a generic software architecture combining intrusion detection and deceptive response capabilities in a uniform structure. Detecting and responding to attacks are realized via runtime instrumentation of kernel-based modules. The architecture provides for dynamically adjusting system performance to maintain continuity and integrity of both legitimate services and security activities.