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
Full text not available from this repository.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: | https://eprints.ugd.edu.mk/id/eprint/14171 |
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