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Cyber risk probability algorithm
Cyber risk probability algorithm




cyber risk probability algorithm

However, researchers have recently been solving these problems by developing security models and making predictions through artificial intelligence methods. Detecting and avoiding cyber-attacks are difficult tasks. The key factors in the fight against crime and criminals are identifying the perpetrators of cyber-crime and understanding the methods of attack. The increase in cyber-attacks also brings along cyber-crime. They cause serious financial damages to countries and people every day. PeerJ Computer Science 7: e475 Ĭyber-attacks have become one of the biggest problems of the world. Cyber-attack method and perpetrator prediction using machine learning algorithms. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. 2 Department of Computer Engineering, Firat University, Elazığ, Turkey DOI 10.7717/peerj-cs.475 Published Accepted Received Academic Editor Haider Abbas Subject Areas Algorithms and Analysis of Algorithms, Artificial Intelligence, Data Mining and Machine Learning, Security and Privacy Keywords Machine learning, Crime prediction, Data analysis, Artificial intelligence, Security and privacy, Cyber attack-crimes Copyright © 2021 Bilen and Özer Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed.






Cyber risk probability algorithm