According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

This research article critically examines the potential risks and implications arising from the
malicious utilization of large language models (LLM), focusing specifically on ChatGPT and …

Ransomware has been one of the most prevalent forms of malware over the previous
decade, and it continues to be one of the most significant threats today. Recently …

Honeypots serve as a valuable deception technology, enabling security teams to gain
insights into the behaviour patterns of attackers and investigate cyber security breaches …

Abstract Cyber Threat Intelligence (CTI) plays an indispensable role in providing evidence-
based knowledge to plan defensive strategies against advanced cyber attacks. Most threat …

Advanced Persistent Threat (APT) is a type of cyber attack that infiltrates a targeted
organization and exfiltrates sensitive data over an extended period of time or to cause …

This study addresses the escalating threat of data theft ransomware, a form of cyberattack
that exfiltrates sensitive information from victim networks and demands ransom for its non …

Over the last decade, there has been a rise in cyberattacks, particularly ransomware,
causing significant disruption and financial repercussions across public and private sectors …

This study introduces an advanced decoy file strategy utilizing Generative Adversarial
Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly …