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Performance Prediction Model for Network Security Risk Management

Akinyemi Bodunde Odunola, Amoo Adekemi Olawumi, Aderounmu Ganiyu Adesola. Published in Security.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Akinyemi Bodunde Odunola, Amoo Adekemi Olawumi, Aderounmu Ganiyu Adesola
10.5120/cae2015651816

Akinyemi Bodunde Odunola, Amoo Adekemi Olawumi and Aderounmu Ganiyu Adesola. Article: Performance Prediction Model for Network Security Risk Management. Communications on Applied Electronics 2(8):1-7, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Akinyemi Bodunde Odunola and Amoo Adekemi Olawumi and Aderounmu Ganiyu Adesola},
	title = {Article: Performance Prediction Model for Network Security Risk Management},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {2},
	number = {8},
	pages = {1-7},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Network security risks compromises network asset, resources, rules, policy and guidelines. These compromises adversely affect the network performances by altering or tampering with the three set network security objectives i.e. Confidentiality, Integrity, and Availability (CIA) of network. The overall goal of network management is to maximize network performance. The proactive management of security risk of a network is thus a necessity requirement for effective and efficient performances of the network. This study aimed at developing a framework that automatically performs predictions on network security situations. This study presented a prediction model based on Bayesian Network applied to predetermine the effect of network security risk factors on the network Confidentiality, Integrity and Availability. The proposed model utilized the probability characteristics of Artificial Intelligence method to address the challenges being faced by network administrators in using objective metrics to measure their network security and justify the performance of their network, rather than relying on their instinct or experience. The proposed scheme measures the security risk quantitatively and predicts network performances using objectives metrics.

References

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Keywords

Prediction, Network Performance, Bayesian Network