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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50737

Intelligent Malware Detection and Behavioral Analysis Through Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50737

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50737

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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V

V.Sravanthi

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Abstract

mainly the challenging thing at present over the internet is malware attacks. The impact of malicious software is becoming the problem day by day. Malicious type viruses are designed to interruption or for damaging computers, networks as well as other components which are linked to it. Different types of virus shares various behavioural format identifying their originality and cause. Behavioural mechanisms were caused either by fixed manner or it change with time to time which is termed with the help of ML Mechanisms. This concept shows a general brief regarding the procedures as well as mechanisms for identifying as well as estimating the virus.

KEYWORDS

Malware Virus Static Analysis Dynamic Analysis Worms Spyware

Cite This Article

V.Sravanthi, "Intelligent Malware Detection and Behavioral Analysis Through Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50737

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Publication Date

6/17/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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