The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

The aim of this systematic literature review (SLR) is to provide a comprehensive overview of
the current state of Windows malware detection techniques, research issues, and future …

With the steady increase in the demand for Internet of Things (IoT) devices in diverse
industries, such as manufacturing, medical care, and transportation infrastructure, the …

Modern-day ransomware variants are quick in their operations and start to encrypt the files
within a few seconds after the initial payload execution. This poses an exigency towards …

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 …

Social media platforms like Facebook, YouTube, and Twitter are banking on developing
machine learning models to help stop the spread of hateful speech on their platforms. The …

Ransomware attacks constitute major security threats to personal and corporate data and
information. A successful ransomware attack results in significant security and privacy …

The advancement of generative AI has introduced transformative changes in the scientific
domain. This technology, recognized for its ability to fabricate research data and …

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 evolution of ransomware from crypto-ransomware to sophisticated data theft
ransomware presents new challenges in cybersecurity. This study investigates the strategic …