According to the recent studies, malicious software (malware) is increasing at an alarming
rate, and some malware can hide in the system by using different obfuscation techniques. In …

Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …

Due to the popularization of Internet of Things (IoT) devices, numerous and varied devices
have been connected to the Internet. While various devices including home appliances …

Malware detection is one of the most challenging problems in computer security. Recently,
methods based on machine learning are very popular in unknown and variant malware …

An everyday growing number of malware variants target end-users and organizations. To
reduce the amount of individual malware handling, security analysts apply techniques for …

Despite continuous advancements in defense mechanisms, attackers often find ways to
circumvent security measures. Windows operating systems, in particular, are vulnerable due …

To deal with the huge amount of data, minimizing the overhead will play a key role in speedy
and efficient malware detection. We propose a machine learning (ML) malware detection …

This paper describes Variant, a testing framework for projects attempting to locate variants of
malware families through similarity testing. The framework is a series of tests and data …

Malware developers install malware on mobile users' devices and steal their personal
information without their knowledge. According to recent studies, it has been observed that …

Detecting code reuse in software has applications in malicious code analysis and in
malware code search and retrieval, but is complicated by the lack of available source code …