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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM55778

Cyberguard AI: Smart Cybersecurity & Real-Time Blockchain-Based Network Monitoring

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM55778

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55778

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

AHJ

ANUSHREE HS JOIS

HSD

HARSHA S DESAI

TS

THRUPTHI S

VAK

VIKAS A KALLAPUR

PAK

Prof. ANIL KUMAR

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Abstract

CyberGuard AI is an intelligent and integrated cybersecurity monitoring platform developed to overcome the limitations of fragmented and reactive security solutions in modern digital networks. The primary objective of the system is to deliver continuous network monitoring, accurate threat detection, secure user authentication, and intuitive visualization within a unified framework. The platform employs AI-assisted analytics to correlate real-time network telemetry with external threat intelligence feeds, enabling early identification of malicious activities and anomalous behavior. To enhance identity security and eliminate centralized points of failure, blockchain-based authentication is integrated alongside secure session management mechanisms. Interactive dashboards and an AI-powered assistant provide real-time insights and contextual explanations, improving situational awareness and decision-making for security teams. Experimental evaluation under simulated enterprise network conditions demonstrates high detection accuracy, low latency, reliable authentication, and stable performance across varying traffic loads. The results validate the effectiveness of combining artificial intelligence, decentralized authentication, and real-time visualization into a cohesive cybersecurity solution.

KEYWORDS

Cybersecurity Artificial Intelligence Real-Time Network Monitoring Threat Detection Blockchain Authentication Security Visualization.

Cite This Article

ANUSHREE HS JOIS, HARSHA S DESAI, THRUPTHI S, VIKAS A KALLAPUR, Prof. ANIL KUMAR, "Cyberguard AI: Smart Cybersecurity & Real-Time Blockchain-Based Network Monitoring," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM55778

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Publication Date

4/30/2026

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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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