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Egwali A. O.

Work place: Department of Computer Science University of Benin, Benin City, Edo State, Nigeria

E-mail: annie.egwali@uniben.edu

Website:

Research Interests: Application Security, Information Security, Network Security, Information-Theoretic Security

Biography

Egwali Annie Oghenerukevbe is a Professor of Cybersecurity at the Department of Computer Science, Faculty of Physical Sciences, University of Benin, Benin City, Nigeria. Her area of interests includes Information Technology, Software Engineering, Gender studies, E-commerce, Electronic Marketing and Cyber Security. To date, she has supervised several undergraduate and postgraduate students. She is currently carrying out research works relating to cyber security. She is a member of International Network for Women Engineers and Scientists (INWES), IEEE (The Institute of Electrical and Electronics Engineers), Nigerian Computer Society (NCS), Third World Organizations of Women Scientists (TWOWS) and Computer Professionals [Registration Council] of Nigeria (CPN).

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

By Alile S. O. Egwali A. O.

DOI: https://doi.org/10.5815/ijwmt.2020.02.04, Pub. Date: 8 Apr. 2020

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. 

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