Abstract
Autonomic Framework for IT Security Governance
Highlights
Over the last years, information technology (IT) revolution has taken a steep growth with Internet providing a plethora of services for users worldwide
This paper proposes autonomic framework for IT security governance that employs self-learning mechanisms using context-dependent mobile agents that are host-based as well as network-based for detecting malicious activities pre-emptively
a roadmap for autonomic IT security governance is described in Section 4 and Section 5 provides the conclusion and future work of this research
Summary
With the recent service enhancements over the Internet, organisations are confronted with a growing magnitude of security intrusions and attacks. Current intrusion detection strategies have not been effective in the long term, as new and obfuscated security attacks keep emerging evading the surveillance mechanisms. This paper proposes an autonomic framework for IT security governance that postulates a selflearning adaptive mechanism for an effective intrusion detection and risk management. Such a framework would facilitate autonomic ways of integrating existing context-dependent knowledge with new observed behaviour patterns gathered from network as well as host for detecting unknown security attacks effectively using mobile agents. IT Security Governance, Intrusion Detection, Autonomic Framework, Self-learning & Mobile Agents
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