The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …

Android malware has become a serious threat to mobile device users, and effective
detection and defence architectures are needed to solve this problem. Recently, machine …

Hardware joined the battle against malware by introducing secure boot architectures,
malware-aware processors, and trusted platform modules. Hardware performance …

Self-propagating malware has been infecting thousands of IoT devices and causing security
breaches worldwide. Mitigating and cleaning self-propagating malware is important but …

It is critical to detect malicious code for the security of the Internet of Things (IoT). Therefore,
this work proposes a malicious code detection algorithm based on the novel feature fusion …

Intrusion detection systems (IDS) play a vital role in protecting networks from malicious
attacks. Modern IDS use machine-learning or deep-learning models to deal with the …

This study presents an in-depth analysis and evaluation of self-healing networks as an
innovative solution to combat the escalating threat of ransomware attacks. Recognizing the …

Malware is prevalent throughout the world wide web (WWW), meaning internet users may
encounter malware throughout their lives. With the Malware enlargement and advanced …

Cybersecurity has become a significant issue in the digital era as a result of the growth in
everyday computer use. Cybercriminals now engage in more than virus distribution and …

In recent times, malware has progressed by utilizing distinct advanced machine learning
techniques for detection. However, the model becomes complicated and the singular value …