Cognitive artificial intelligence application to cyber defense

Predicting or estimating the occurrence of a cyberattack has been a challenge for various sectors including defense one. In this paper we propose a new method for making a prediction or an estimation of the occurrence of cyberattacks in terms of the attack type or category and when the attack(s) wou...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-01, Vol.732 (1), p.12037
Main Authors: Sumari, A D W, Setiawan, A, Syamsiana, I N
Format: Article
Language:English
Subjects:
Artificial intelligence
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Summary:Predicting or estimating the occurrence of a cyberattack has been a challenge for various sectors including defense one. In this paper we propose a new method for making a prediction or an estimation of the occurrence of cyberattacks in terms of the attack type or category and when the attack(s) would be possible to occur. Our method based on Cognitive Artificial Intelligence (CAI) approach called as Knowledge Growing System (KGS). For this purpose, we did a simulation using random numbers which were generated based on the real data from UNSW-NB15. From the simulation results, we can conclude that CAI is able to deliver a prediction or an estimation of the occurrence of future possible cyberattacks.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/732/1/012037