Cognitive Artificial Intelligence Application to Cyber Defense
Arwin Datumaya Wahyudi Sumari, Awan Setiawan, Ika Noer Syamsiana

State Polytechnic of Malang, Malang, East Java, Indonesia

Faculty of Defense Technology, Indonesia Defense University, Sentul, West Java, Indonesia

Abstract

Predicting 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 the occurence 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 use simulation data based on a riil data. From the simulation results, we can conclude that CAI is able to deliver an estimation of the occurence of future possible cyberattack.

Keywords: Attack Prediction, Cogntiive Artificial Intelligence, CYber Defense, Knowledge Growing System

Topic: Computer Science and Engineering

Link: https://ifory.id/abstract-plain/EyYf6nTQCKLG

Web Format | Corresponding Author (Arwin Datumaya Wahyudi Sumari)