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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44339

Secure Flow AI-Powered Redirection Blocker for Safe Browsing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44339

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem44339

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

AB

Ashwin Biju

N

NCERC

AK

Abijith K

AR

Azin Raja

AkKS

Athul krishna K S

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Abstract

SecureFlow is a browser extension developed to enhance online security by preventing malicious redirections, phishing attempts, and tracking scripts. The system ensures safe browsing by using AI- powered threat analysis and third-party security APIs, including Google Safe Browsing. It provides real-time notifications, maintains a comprehensive history of blocked threats, and supports user customization through whitelisting and history management. The Admin Panel monitors browsing activities and maintains system settings. The Security Engine handles detection and prevention of harmful URLs using machine learning with TensorFlow.js. The User Panel allows users to review history, manage blocked sites, and adjust preferences. By integrating these components, SecureFlow delivers a streamlined, transparent, and secure browsing experience, empowering users to manage their digital safety effectively.

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Cite This Article

Ashwin Biju, NCERC, Abijith K, Azin Raja, Athul krishna K S, "Secure Flow AI-Powered Redirection Blocker for Safe Browsing," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem44339

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Publication Date

4/12/2025

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Double-Blind Peer Review

Review Rounds: 2

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