Impact and Feasibility of harnessing AI and ML in the realm of Cybersecurity to detect Network Intrusions A Review

Abstract

Remarkable advances in cyberspace, have amassed a magnanimous set of Internet users worldwide. While people engage in various activities and use the web for various needs, the prospective fear of cyber attacks, crime and threats is indubitable. Though a plethora of preventive measures are in use, it is impossible to circumvent cyber threats completely. Cybersecurity is a domain that deals with prevention of cyber attacks by use of effective precautionary and remedial measures. With the advent of Artificial Intelligence (AI) and Machine Learning (ML) and its profound scope in contemporary technical innovations, it is a critical necessity to inculcate its techniques in enhancement of existing cybersecurity techniques. This paper offers a detailed review of the concepts of cybersecurity, commonly encountered cyber attacks, the relevance of AI and ML in cybersecurity along with a comparative performance analysis of distinct ML algorithms to combat network anomaly detection and network intrusion detection.