1. Malicious Code Variant Detection : A Survey
- Author
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K V Sreelakshmi and Dileesh E D
- Subjects
ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ,021110 strategic, defence & security studies ,Software_OPERATINGSYSTEMS ,Computer science ,Programming language ,020208 electrical & electronic engineering ,0211 other engineering and technologies ,0202 electrical engineering, electronic engineering, information engineering ,Code (cryptography) ,02 engineering and technology ,Static analysis ,computer.software_genre ,computer - Abstract
Malicious codes have become one of the major threats to computer systems. The malicious software which is also referred to as malware is designed by the attackers and can change their code as they propagate. The existing defense against malware is highly affected by the diversity and volume of malware variants that are being created rapidly. The variants of malware families exhibit typical behavioral patterns exhibiting their origin and purpose. The behavioral patterns can be exploited statically or dynamically to detect and classify malware into their known families. This paper provides a detailed survey of techniques to detect and classify malware into their respective families.
- Published
- 2020
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