Abstract: Advanced Persistent Threats (APTs) pose significant risks to modern network infrastructures. Traditional honeypot systems, while useful for deception and attack intelligence gathering, often lack adaptability, making them ineffective against sophisticated adversaries. This study proposes a reinforced honeypot technique that integrates game theory and reinforcement learning (RL) to enhance cyber defence mechanisms. The methodology used for.......
Keywords: Advanced Persistent Threats; Honeypot; Game Theory; Reinforcement Learning; Cyber Defence
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