International Journal of Network Security & Its Applications (IJNSA)
ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)
http://airccse.org/journal/ijnsa.html
Malware Risk Analysis on the Campus Network with Bayesian Belief Network
Aliyu Mohammed, Haitham A. Jamil, Sulaiman Mohd Nor and Muhammad NadzirMarsono, Universiti Teknologi Malaysia, Malaysia
ABSTRACT
A security network management system is for providing clear guidelines on risk evaluation and assessment for enterprise networks. The threat and risk assessment is conducted to safeguard enterprise network services to maintain system confidentiality, integrity, and availability through effective control strategies. In this paper, based on our previous work in analyzing integrated information security management and malware propagation on the campus network through mathematical modelling, we proposed Bayesian Belief Network with inference level indicator to enable the decision maker to understand and provide appropriate mitigation decisions on the risks posed. We experimentally placed monitoring sensors on the campus network that gives the threat alert priority levels and magnitude on the vulnerable information assets. These methods will give a direction on the belief inferred due to malware prevalence on the information security assets for better understanding.
KEYWORDS
Network security; malware propagation modelling; Bayesian Belief Network; risk and threats
Original Source URL: http://airccse.org/journal/nsa/5413nsa09.pdf
Volume Link: http://airccse.org/journal/jnsa13_current.html
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