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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43804

CipherScan: An Advanced Web Application Vulnerability Scanner for Enhanced Cybersecurity

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43804

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem43804

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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Authors

GF

Gavit Franciskumar

MSK

Mr. Satish Kumar

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Abstract

– The rapid development of cyber threats such as zero-day attacks and ransomware attacks has placed increasing pressure on proactive security practices. Traditional security products such as firewalls and antivirus software are not sufficient for efficient detection and neutralization of modern attacks. Intelligent, automated, and scalable security solutions need to be deployed by organizations to secure sensitive data and IT infrastructure. CipherSite has been engineered to integrate vulnerability scanning with real-time dynamic threat detection through artificial intelligence-powered analytics and ongoing security monitoring. This research provides an in-depth analysis of CipherSite, including its key features, deployment scenarios, and how it surpasses existing security solutions in detecting and preventing vulnerabilities.

KEYWORDS

Vulnerability scanner threat detection cybersecurity SIEM integration machine learning automated risk assessment CVE identification network security penetration testing malware detection compliance management threat intelligence

Cite This Article

Gavit Franciskumar, Mr. Satish Kumar, "CipherScan: An Advanced Web Application Vulnerability Scanner for Enhanced Cybersecurity," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem43804

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Publication Date

4/4/2025

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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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