Cyber Security Risk Assessment and Management Using Artificial Intelligence and Machine Learning
Sangeetha Ganesan, A. Indumathi, Kumaravel Subramani, Narendra M. Uma, M. Sugacini, S. Kavishree · Advances in information security, privacy, and ethics book series · 2023
The threat of cyber-attacks and wireless communication technologies are now affecting a number of private and public organizations around the world. It is a challenge to protect today's data from cyber-attacks since it is highly dependent on electronic technology. It is possible to mitigate or reduce these risks by identifying them. Risk assessments can help to develop a plan for responding to and recovering from a cyber attack. It is crucial to continuously monitor and assess the risk environment to identify any changes in the organization's context and to keep track of the entire risk management process. Researchers from all around the world have proposed a number of methods to thwart cyber-attacks or minimize the harm they do. The aim of this chapter is to present in-depth analysis of the typical improvements achieved in the field of cyber security risk assessment and management and examines the impact of artificial intelligence and machine learning in cyber security risk assessment, and management.