A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms
Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …
millions of devices and can perform several malicious activities including compromising …
Malware Detection Framework Based on Iterative Neighborhood Component Analysis for Internet of Medical Things
The advancement of the medical equipment and its integration with the Internet of Medical
Things (IoMT) has facilitated the remote monitoring of the health-related information of the …
Things (IoMT) has facilitated the remote monitoring of the health-related information of the …
Analysis of Feature Selection Methods for Android Malware Detection Using Machine Learning Techniques
The simplicity, user-friendly environment, and popularity of Android phones have increased
the risk of cyber-attacks on Android devices. A variety of applications containing malicious …
the risk of cyber-attacks on Android devices. A variety of applications containing malicious …