IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

AI-Based Cyber Defense for More Secure Cyberspace

AI-Based Cyber Defense for More Secure Cyberspace
View Sample PDF
Author(s): Dimitar Stevo Bogatinov (Military Academy, University Goce Delcev - Stip, Macedonia), Mitko Bogdanoski (Military Academy “General Mihailo Apostolski”, Macedonia) and Slavko Angelevski (Military Academy, University Goce Delcev - Stip, Macedonia)
Copyright: 2017
Pages: 19
Source title: Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0788-8.ch056

Purchase

View AI-Based Cyber Defense for More Secure Cyberspace on the publisher's website for pricing and purchasing information.

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.

Related Content

Mohamed Arezki Mellal. © 2022. 9 pages.
Tahir Cetin Akinci, Ramazan Caglar, Gokhan Erdemir, Aydin Tarik Zengin, Serhat Seker. © 2022. 11 pages.
Sunanda Hazra, Provas Kumar Roy. © 2022. 16 pages.
Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz. © 2022. 23 pages.
Khaled Dassa, Abdelmadjid Recioui. © 2022. 35 pages.
Anupama Kumari, Mukund Madhaw, C. B. Majumder, Amit Arora. © 2022. 21 pages.
Mandrita Mondal. © 2022. 20 pages.
Body Bottom