Surviving cyber warfare with a hybrid multiagent-base intrusion prevention system

Inspecting network traffic that only protects the network and its entire host is not sufficient to secure the network and is a time wasting task, since network traffic payloads may contain polymorphic or encrypted malicious code and executables. The proposed system ensures the preemptive protection against zero-day attacks and malwares, by applying behavioral analysis techniques that focus on objects´ behaviors rather than the behaviors of threats.