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Found 3 papers, 3 papers with code
Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
In this paper, we propose a formalization of the process of exploitation of SQL injection vulnerabilities.
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
Moreover, we subscribe to the hypothesis that code may be treated as natural language, and thus we process assembly code using standard architectures commonly employed in natural language processing.
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori Knowledge
In this paper, we focus our attention on simplified penetration testing problems expressed in the form of capture the flag hacking challenges, and we analyze how model-free reinforcement learning algorithms may help to solve them.
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