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 …

In last decade, a proliferation growth in the development of computer malware has been
done. Nowadays, cybercriminals (attacker) use malware as a weapon to carry out the …

Intelligent vehicles are advancing at a fast speed with the improvement of automation and
connectivity, which opens up new possibilities for different cyber-attacks, including in-vehicle …

Identifying the family of malware can determine their malicious intent and attack patterns,
which helps to efficiently analyze large numbers of malware variants. Methods based on …

These days, cloud computing is one of the most promising technologies to store information
and provide services online efficiently. Using this rapidly developing technology to protect …

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 …

Due to increasing threats from malicious software (malware) in both number and complexity,
researchers have developed approaches to automatic detection and classification of …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

With the ever increasing cases of cyber data breaches, the manual process of sifting through
tons of security logs to investigate cyber-attacks is error-prone and time-consuming …

To evade security detection, hackers always add a deceptive packer outside of the original
malicious codes. The coexistence of original unpacked samples and packed samples of …