International Journal of Advanced Information and Communication Technology


Artificial Intelligence Techniques for Cyber Security Applications

Shanqi Pang, Yongmei Li, Department of Computer Science Stanford University, Stanford, CA 94305, United States.

International Journal of Advanced Information and Communication Technology

Received On : March 10, 2020

Revised On :April 20, 2020

Accepted On : May 10, 2020

Published On : June 05, 2020

Volume 07, Issue 06

Pages : 089-094

Abstract


Considering the enhancement in technology, criminals have been using cyberspace in order to commit many crimes. Therefore, it should be noted that cybercrimes are exposed to a number of threats and intrusions if not safeguarded well. Human and physical intervention tend not to be very adequate for the protection and tracking of such infrastructure, that is why there should be the establishment of multifaceted cyber defense networks, which are flexible, robust, and adjustable in order sense a massive collection of invasion and creation of real-time choices. Nevertheless, significant number of bio-related computing techniques of AI (artificial intelligence) tend to be increasing hence a significant role is played in detecting and preventing cybercrime. The main aim of this paper is outlining the actual advancement that have been made possible due to the application of AI methods for the fight against cybercrimes, in order to reveal how the methods are efficient in sensing and preventing cyber invasions, also providing a brief overview of the future works.

Keywords


Computational intelligence; Artificial Intelligence; Intrusion detection and prevention systems; Cyber crime.

Cite this article


Shanqi Pang, Yongmei Li, “Artificial Intelligence Techniques for Cyber Security Applications,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 89–94, Apr. 2020.

Copyright


© 2020 Shanqi Pang, Yongmei Li. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.