Review of Contemporary Literature on Machine Learning based Malware Analysis and Detection Strategies

Review of Contemporary Literature on Machine Learning based Malware Analysis and Detection Strategies

G. Bala Krishna

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V. Radha

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K. Venugopala Rao

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α Jawaharlal Nehru Technological University, Hyderabad

Review of Contemporary Literature on Machine Learning based Malware Analysis and Detection Strategies

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Abstract

Malicious software also known as malware are the critical security threat experienced by the current ear of internet and computer system users. The malwares can morph to access or control the system level operations in multiple dimensions. The traditional malware detection strategies detects by signatures, which are not capable to notify the unknown malwares. The machine learning models learns from the behavioral patterns of the existing malwares and attempts to notify the malwares with similar behavioral patterns, hence these strategies often succeeds to notify even about unknown malwares. This manuscript explored the detailed review of machine learning based malware detection strategies found in contemporary literature.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

G. Bala Krishna. 2016. \u201cReview of Contemporary Literature on Machine Learning based Malware Analysis and Detection Strategies\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 16 (GJCST Volume 16 Issue E5): .

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GJCST Volume 16 Issue E5
Pg. 17- 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-E Classification: C.2.0, D.4.6, H.2.7

Submission ReceivedDecember 12, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published January 15, 2016

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v1.2

Issue date

July 19, 2016

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: G. Bala Krishna, V. Radha, K. Venugopala Rao (PhD/Dr. count: 0)

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Publish Date: 2016 07, Tue

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Total Views: 7487

Total Downloads: 1903

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