reviewIEEE AccessJan 1, 2020GOLD OA

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

2

Topics & keywords

Keywords
  • Malware
  • Computer science
  • Cryptovirology
  • Obfuscation
  • System call
  • Machine learning
  • Artificial intelligence
  • Heuristic
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