Malware Analysis

Michael Kiperberg; Amit Resh; Nezer Zaidenberg

doi:10.1007/978-3-030-91293-2_21

Malware Analysis

Michael Kiperberg, Amit Resh, Nezer Zaidenberg

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The number of malware is constantly growing. Better detection techniques need to be developed to keep detection times as short as possible and to reduce the cost of malware attacks. Malicious programs use a variety of techniques to avoid detection. Each technique has been developed as a countermeasure to a particular method of detection. This chapter introduces analytical techniques and their countermeasures so that the reader can understand the evolution of armaments between the two research camps.

Original language	English
Pages (from-to)	475-484
Number of pages	10
Journal	Computational Methods in Applied Sciences
Volume	56
DOIs	https://doi.org/10.1007/978-3-030-91293-2_21
State	Published - 2022
Externally published	Yes

Keywords

Evasion
Hypervisor
Malware

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10.1007/978-3-030-91293-2_21

Cite this

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KW - Hypervisor

KW - Malware

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Malware Analysis

Abstract

Keywords

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