AI-Based Cyber Defense for More Secure Cyberspace

Bogatinov, Dimitar and Bogdanoski, Mitko and Angelevski, Slavko (2015) AI-Based Cyber Defense for More Secure Cyberspace. In: Handbook of Research on Civil Society and National Security in the Era of Cyber Warfare. IGI Global, Hershey, PA, USA, pp. 220-237. ISBN 9781466687936

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Official URL: http://www.igi-global.com/chapter/ai-based-cyber-d...

Abstract

The growing network attacks and intrusions have put the government organizations at a great risk. In cyberspace, humans have great limitations in data analyze and cyber defense because of the amount of data they have to process and the limited response time. Considering these parameters one of the best solutions is when the cyber defense mechanisms are AI (Artificial intelligence)-based because they can easily determine and respond to the attacks that are underway. The responses can be easily managed using man in the loop or fully atomized techniques. This chapter gives brief review of the usage of artificial intelligence in support of cyber defense, explains some useful applications that already exist, emphasizing the neural nets, expert systems and intelligent agents in cyber defense. Furthermore the chapter will propose a technical AI-based cyber defense model which can support the governmental and non-governmental efforts against cyber threats and can improve the success against malicious attack in the cyberspace.

Item Type: Book Section
Subjects: Natural sciences > Computer and information sciences
Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Social Sciences > Educational sciences
Social Sciences > Law
Natural sciences > Matematics
Engineering and Technology > Nano-technology
Natural sciences > Other natural sciences
Natural sciences > Physical sciences
Divisions: Faculty of Computer Science
Faculty of Electrical Engineering
Faculty of Technology
Military Academy
Depositing User: Mitko Bogdanoski
Date Deposited: 05 Nov 2015 13:32
Last Modified: 05 Nov 2015 13:32
URI: http://eprints.ugd.edu.mk/id/eprint/14171

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