Abstract
In order to combat the growing complexity of cybercrime, more intelligent and effective cybersecurity defense methods must be developed. As a result, a defense system can respond in real time to more sophisticated attacks. Researchers and practitioners should be familiar with current cyber security methods in order to assist in the solution of problems (Cybersecure). Artificial intelligence is frequently employed in the fight against cybercrime. Methods of combating cybercrime that make use of artificial intelligence, on the other hand, are uncommon. A total of 131 articles from two major databases are used to close this knowledge gap (ACM digital library and IEEE Xplore). The articles were mapped both quantitatively and qualitatively, according to the results. When it comes to fighting cybercrime and intrusion detection, artificial intelligence has made a significant contribution. It has also been discovered that the complexity of computers, the time required for model training, and the number of false alarms can all be reduced. However, the domain varies greatly. A common tool in intrusion detection and prevention systems, support vector machines (SVMs) are the most widely used type of machine. PU - Asia-pacific Society of Convergent Research Interchange
Cite
CITATION STYLE
Kim, T. (2021). A Study on the Influence of Artificial Intelligence Research on the Development of Information Security Research. Asia-Pacific Journal of Convergent Research Interchange, 7(12), 41–53. https://doi.org/10.47116/apjcri.2021.12.05
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.