A Bayesian Belief Network Model For Detecting Multi-stage Attacks With Malicious IP Addresses

Автор: Alile S.O., Egwali A.O.

Журнал: International Journal of Wireless and Microwave Technologies @ijwmt

Статья в выпуске: 2 Vol.10, 2020 года.

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Multi-stage attacks are attacks executed in phases where each phase of the attack solely relies on the completion of the preceding phase. These attacks are so intelligently designed that they are able to elude detection from most network instruction detection systems and they are capable of penetrating sophisticated defenses. In this paper, we proposed and simulated a Bayesian Belief Network Model to predict Multi-stage Attacks with Malicious IP. The model was designed using Bayes Server and tested with data collected from cyber security repository. The model had a 99% prediction accuracy.

Multi Stage Attack, Malicious IP Address, Bayesian Belief Network

Короткий адрес: https://readera.org/15017631

IDR: 15017631   |   DOI: 10.5815/ijwmt.2020.02.04

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