Proposing Strength, Weakness, Opportunities and Threat (SWOT) Analysis Model for Implementation of Artificial Intelligence in Detection of DDoS Assaults

Abstract

With the rapid advancements in Information and Communication Technology challenges for cyber security (CySe) have become sophisticated and more lethal. Conventional methods and thought process for cyber security (CySe) are not capable to handle the issue of Cyber Security (CySe) due to human limitations and the fact that cyber assaults are becoming intelligent, sophisticated and complex; therefore, there is a need for new approaches, which are ideal, scalable, adaptable and flexible. The aim of the paper is to carry out Strength, Weakness, Opportunities and Threat (SWOT) analysis of implementation of Artificial Intelligence (ArIn) supported Cyber Security (CySe) techniques in monitoring, detecting, understanding, and then launching counter assaults. This paper deals with the effects of Distributed and Compact Artificial Intelligence (ArIn) methods on cyber threats. It is advantageous if we have the ability to use better Artificial Intelligence (ArIn) methods and technology in Cyber Security (CySe) than one possessed by the adversary. Future directions of research have been discussed for enhancing the employment of Artificial Intelligence (ArIn) advancements in improving Cyber Security (CySe).