ABSTRACT Internet of Things (IoT) is gaining importance as its applications are found in
many critical infrastructure sectors (eg, Industry 4.0, healthcare, transportation, and …

Financial fraud has extremely damaged the sustainable growth of financial markets as a
serious problem worldwide. Nevertheless, it is fairly challenging to identify frauds with highly …

Penetration testing (PT) is an efficient tool for network testing and vulnerability mining by
simulating the hackers' attacks to obtain valuable information applied in operating and …

Given the success of reinforcement learning (RL) in various domains, it is promising to
explore the application of its methods to the development of intelligent and autonomous …

Intrusion detection systems (IDSs) play a crucial role in network security, as the need for
secure networks continues to grow. However, traditional IDSs are not able to accurately and …

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 …

Penetration testing is a security exercise aimed at assessing the security of a system by
simulating attacks against it. So far, penetration testing has been carried out mainly by …

In recent years, cyber attacks have shown diversified, purposeful, and organized
characteristics, which pose significant challenges to cyber defense decision-making on …

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 used …

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 …