In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …

Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …

In the era of ubiquitous sensors and smart devices, detecting malware is becoming an
endless battle between ever-evolving malware and antivirus programs that need to process …

Detecting ransomware is harder than general malware because of the ever-increasing
number of ransomwares with different signatures, which makes traditional signature-based …

In this Internet age, there are increasingly many threats to the security and safety of users
daily. One of such threats is malicious software otherwise known as malware (ransomware …

This study conducts analysis of cybersecurity events from 2013 to 2023, concentrating on
major incidents associated with Distributed Denial of Service (DDoS), and malware attacks …

The widespread development of the malware industry is considered the main threat to our e-
society. Therefore, malware analysis should also be enriched with smart heuristic tools that …

Due to rapid growth of communications and networks, a cyber-attack with malicious codes
has been coming as a new paradigm in information security area since last few years. In …

Executable files still remain popular to compromise the endpoint computers. These
executable files are often obfuscated to avoid anti-virus programs. To examine all suspicious …