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 …

This article explores deep learning models in the field of malware detection in cyberspace,
aiming to provide insights into their relevance and contributions. The primary objective of the …

Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of
encryption employed to deny access to the data on the victim's device. Existing state-of-the …

Moving Target Defense and Cyber Deception emerged in recent years as two key proactive
cyber defense approaches, contrasting with the static nature of the traditional reactive cyber …

Ransomware is a growing threat and is building ecosystems in the form of ransomware as a
service (RaaS). While there have been diverse efforts to detect and mitigate such threats …

This study looked into the complex landscape of ransomware communications, utilizing
advanced language models like ChatGPT to analyze ransomware messages. The research …

This study presents a comprehensive analysis of the application of Large Language Models
(LLMs), specifically ChatGPT and Claude, in the context of ransomware negotiation …

This study investigates an innovative method to combat ransomware, leveraging the New
Technology File System (NTFS) spare space in Windows operating systems. The focus is on …

The escalating sophistication of ransomware has catalyzed the transition from traditional
encryption-focused attacks to more pernicious data exfiltration techniques. This research …

As the capabilities of malware threats evolve, defense methods must evolve accordingly.
The increasing use of polymorphism in malware makes signature-based prevention …