Abstract
Intrusion Prevention in computer networking refers to the set of techniques and technologies used to detect and prevent unauthorized access, malicious activities, and attacks on a network. It involves actively monitoring network traffic, identifying potential threats or anomalies, and taking action to mitigate or block those threats. In the realms of Mobile Adhoc Networks and computer networking, substantial work has pointed to the gaps experienced with respect to proactively identifying and mitigating risks and network malicious behaviours and attacks. This paper seeks to highlight the existing intrusion detection and prevention techniques currently being utilized in MANETS and general computer networking and how the introduction of the novel Risk Profile approach based on Axiom theory can be utilized or integrated to improve the accuracy of existing models of Intrusion Detection and Prevention systems.
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