The Internet of Things (IoT) has transformed various domains in our lives by enabling
seamless communication and data exchange between interconnected devices …

The majority of Ethical Hacking (EH) tools utilised in penetration testing are developed by
practitioners within the industry or underground communities. Similarly, academic …

Deep learning has gained tremendous success and great popularity in the past few years.
However, deep learning systems are suffering several inherent weaknesses, which can …

Abstract The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in
Internet of Things (IoT) systems has gained significant attention in recent years. However …

For this research, our primary goal is to define an attack surface for networks utilizing the IoT
(Internet of Things) devices. The IoT consists of systems of integrated objects, computing …

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 …

A method of detecting and interrupting unauthorized, browser-based cryptomining is
proposed, based on semantic signature-matching. The approach addresses a new wave of …

Web security scanners are used to discover SQL injection vulnerabilities in deployed web
applications. Scanners tend to use static rules to cover the most common injection cases …

SQL injection attack (SQLIA) is one of the most severe attacks that can be used against web
database driving applications. Attackers use SQLIA to get unauthorized access and perform …

Software development security refers to the practice of integrating security measures and
considerations throughout the software development lifecycle to ensure the confidentiality …