Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM28422

Vulnerabilities Detection by Matching with known Vulnerabilities

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM28422

Volume:

8 |

1 |

Jan 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM28422

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.

Share this article:

Authors

PJJ

Precious Jeo John

SS

Sumit Surendran

Author Services & Downloads

Full Articles

Abstract

Vulnerability Matcher is a tool designed to identify and prioritize security vulnerabilities in software systems. This intelligent system leverages advanced machine learning algorithms to analyze and match identified vulnerabilities with known security threats and exploits. The primary function of Vulnerability Matcher is to provide developers and security professionals with a comprehensive understanding of the security risks associated with their software. It does this by scanning the codebase and identifying potential security vulnerabilities that could be exploited by malicious actors. Vulnerability Matcher’s speciality is its ability to prioritize identified vulnerabilities. By using machine learning techniques, it can determine which vulnerabilities pose the greatest risk and should be addressed first. This prioritization is based on factors such as the severity of the vulnerability, the likelihood of exploitation, and the potential impact on the system. In addition to identifying and prioritizing vulnerabilities, Vulnerability Matcher also provides actionable recommendations on how to remediate each vulnerability. These recommendations are tailored to the specific vulnerability and can range from simple code changes to more complex system modifications. Moreover, Vulnerability Matcher is continuously learning and improving. It uses feedback from its users to refine its algorithms and improve its accuracy. This continuous learning process ensures that Vulnerability Matcher remains up-to-date with the latest security threats and can provide the most accurate and effective vulnerability matching and prioritization. Vulnerability Matcher is a highly effective tool for managing security vulnerabilities in software systems. It uses advanced AI and machine learning techniques to identify, prioritize, and provide actionable recommendations for remediation of vulnerabilities. This tool is invaluable for developers and security professionals who want to ensure the sec

KEYWORDS

Cite This Article

Precious Jeo John, Sumit Surendran, "Vulnerabilities Detection by Matching with known Vulnerabilities," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 1, Jan 2024. https://doi.org/10.55041/IJSREM28422

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/31/45321

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...