Modern malware is designed with mutation characteristics, namely polymorphism and
metamorphism, which causes an enormous growth in the number of variants of malware …

Abstract Machine learning has become an appealing signature-less approach to detect and
classify malware because of its ability to generalize to never-before-seen samples and to …

Forensic analysis of executables or binary files is the common practice of detecting malware
characteristics. Reverse engineering is performed on executables at different levels such as …

Metamorphic computer viruses “mutate” by changing their internal structure and,
consequently, different instances of the same virus may not exhibit a common signature …

The ever-growing malware threats in the cyber spacecalls for techniques that are more
effective than widely deployedsignature-based detection system. To counter large volumes …

By letting students simulate operations and games on a digital education operation system,
schools are able to inspect learning achievement and teaching quality. In digital education …

Technological advancement of smart devices has opened up a new trend: Internet of
Everything (IoE), where all devices are connected to the web. Large scale networking …

Automatic malware categorization plays an important role in combating the current large
volume of malware and aiding the corresponding forensics. Generally, there are lot of …

Ransomware has been an ongoing issue since the early 1990s. In recent times ransomware
has spread from traditional computational resources to cyber-physical systems and …

Introducing program variations via metamorphic transformations is one of the methods used
by malware authors in order to help their programs slip past defenses. A method is …