A SURVEY ON MACHINE LEARNING TECHNIQUES FOR DETECTION OF CYBERATTACK AND PERPETRATOR PREDICTION
DOI:
https://doi.org/10.48047/tzgt9z47Keywords:
Cyber security, intrusion detection, malware, machine learning, spam.Abstract
Cyberspace has grown as a result of the widespread usage of mobile apps and the Internet. Cyberspace is seeing an increase in long-term, automated cyberattacks. Cybersecurity strategies improve security systems to identify and thwart attacks. Because hackers are now skilled enough to circumvent conventional security measures, the security mechanisms that were previously in place are no longer adequate. Unknown and polymorphic security attacks are difficult for traditional security methods to identify. In many applications related to cyber security, machine learning (ML) techniques are essential.
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References
ICT Fact and Figures 2017. Accessed: Jun. 1, 2020. [Online]. Available: https://www.itu.int/en/ITUD/Statistics/Documents/facts/ ICTFactsFigures2017.pdf
ICT Facts and Figures, International Telecommunication Union. (2017). Telecommunication Development Bureau. [Online]. Available: https://www.itu.int/en/ITUD/Statistics/Pages/facts/default.aspx (accessed Oct. 09, 2019).
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