Given the widespread use of the internet at the individual, governmental, and
nongovernmental levels, and the opportunities it offers, such as online shopping, security …

In this paper, we propose a novel adaptive consensus-based learning algorithm for
automated and distributed web hacking. We aim to assist ethical hackers in conducting …

Organizations constantly exposed to cyber threats are compelled to comply with cyber
security standards and policies for protecting their digital assets. Vulnerability assessment …

Penetration testing is an important method to evaluate the security degree of a network
system. The importance of penetration testing attack path planning lies in its ability to …

Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and
more evidence shows that AI is also used for offensive purposes. Prior works have revealed …

Penetration Testing (PT) is an effective proactive security technique that simulates hacker
attacks to identify vulnerabilities in networks or systems. However, traditional PT relies on …

Penetration testing (PT) is an effective method to assess the security of a network, mainly
carried out by experienced human experts, and is widely applied in practice. It is urgent to …

Reinforcement learning is an important technique in various fields, particularly in automated
machine learning for reinforcement learning (AutoRL). The integration of transfer learning …

Large Language Models (LLMs) have shown remarkable potential across various domains,
including cybersecurity. Using commercial cloud-based LLMs may be undesirable due to …

The growing importance of Information Technology (IT) services is accompanied by a surge
in security challenges. While traditional security tests focus on single applications, today's …