A Comprehensive Review on Malware Detection Approaches
Ankara University · Siirt Üniversitesi
Indexed incrossrefdoaj
Abstract
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 order to protect computer systems and the Internet from the malware, the malware needs to be detected before it affects a large number of systems. Recently, there have been made several studies on malware detection approaches. However, the detection of malware still remains problematic. Signature-based and heuristic-based detection approaches are fast and efficient to detect known malware, but especially signature-based detection approach has failed to detect unknown malware. On the other hand, behavior-based, model…
Citation impact
621
total citations
- FWCI
- 44.82
- Percentile
- 100%
- References
- 129
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Malware
- Computer science
- Cryptovirology
- Obfuscation
- System call
- Machine learning
- Artificial intelligence
- Heuristic
No related works found for this paper.