To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …

Internet of Things (IoT) devices usage is increasing exponentially with the spread of the
internet. With the increasing capacity of data on IoT devices, these devices are becoming …

It is a wide-spread way to detect malware by analyzing its behavioral characteristics based
on API call sequences. However, previous studies usually just focus on its static or dynamic …

The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …

As time progresses, new and complex malware types are being generated which causes a
serious threat to computer systems. Due to this drastic increase in the number of malware …

The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …

This research study mainly focused on the dynamic malware detection. Malware
progressively changes, leading to the use of dynamic malware detection techniques in this …

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 …

Due to the development of automated malware generation and obfuscation, traditional
malware detection methods based on signature matching have limited effectiveness. Thus, a …

Malware detection has recently emerged as a significant challenge on the Internet of Things
(IoT) security domain. Due to the increasing complexity and variety of malware, the demand …