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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

Malware detection using Machine Learning

  Authors

  Yogita Madhukarrao Bhagwat,  Mr. Kapil D. Dere,  Dr. A. A. Khatri

  Keywords

Malware, Ransomware, Behavior-Based Methodology, Heuristics, Vulnerabilities, Signature-Based Models

  Abstract


ABSTRACT: - Malware detection involves identifying and preventing dangerous software in computer security. It is not the only approach to safeguard a firm against a cyber-attack. Effective risk assessment is essential for both companies and administrations. This study explores various methods for identifying computer malware, harmful software, websites, and future instructions. It also discusses the rise of computer viruses and worms and how to counteract them. Traditional detection approaches are being replaced by innovative procedures and strategies including behavioural-based and signature-based models. Future instructions will focus on developing security solutions to address cyber fraud, a growing issue in the Asia-Pacific area. Traditional computer security measures are insufficient to protect against cyber security fraud and other threats due to their limitations. Researchers have developed new techniques, including heuristic and static analysis, to detect over 90% of malware samples without false positives or negatives.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2411704

  Paper ID - 272088

  Page Number(s) - g302-g305

  Pubished in - Volume 12 | Issue 11 | November 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yogita Madhukarrao Bhagwat,  Mr. Kapil D. Dere,  Dr. A. A. Khatri,   "Malware detection using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 11, pp.g302-g305, November 2024, Available at :http://www.ijcrt.org/papers/IJCRT2411704.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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