STUDY ON ZERO-DAY ATTACK MANAGEMENT CHALLENGES AND SOLUTION

Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures. Traditional vulnerability management approaches often fail to respond dynamically or deceive attackers effectively in real time and therefore requires more study to explore options to help manage the situation. The aim of this paper is a study on zero-day attack management challenges and solution. The methodology is systematic review method, which involves empirical studies on the different method of zero-day attack management, specifically machine learning and deception approach, then challenges such as false alarm, complexity, lack of scalability are issues raised. To solve this problem a stochastic game theory approach was suggested. In conclusion, the Stochastic Game Theory (SGT) will help improved reliability of zero-day attack management and the study recommends that an approach to managing zero-day vulnerabilities in cyber systems through SGT and cyber deception mechanisms. By modelling attacker-defender interactions as probabilistic sequential games, the framework accommodates uncertainty, adaptive strategies, and multi-layer threat dynamics