8 citations · 15 across the 3 of their papers we have counts for
3 papers · 1 filter
Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
Laszlo Erdodi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro
In this paper, we propose a formalization of the process of exploitation of SQL injection vulnerabilities. We consider a simplification of the dynamics of SQL injection attacks by…
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro
Detecting vulnerabilities in software is a critical challenge in the development and deployment of applications. One of the most known and dangerous vulnerabilities is stack-based…
The Agent Web Model -- Modelling web hacking for reinforcement learning
Laszlo Erdodi, Fabio Massimo Zennaro
Website hacking is a frequent attack type used by malicious actors to obtain confidential information, modify the integrity of web pages or make websites unavailable. The tools use…