A.D.W. Sumari, A. Setiawan, I.N. Syamsiana
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. © Published under licence by IOP Publishing Ltd.
Department of Electrical Engineering, State Polytechnic of Malang, East Java Malang, Indonesia; Faculty of Defense Technology, Indonesia Defense University, Sentul, West Java, Indonesia
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