Malicious URL Detection (Extension)

Authors: Miss. Wakchaure Suvarna Sujit, Mr. Patole Pratik Suryabhan, Mr. Khatale Tushar Ashok, Mr. Panchave Shubham Bapu, Miss. Mahatme Sakshi Rajendra

Country: India

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Abstract: As cyber security continues to evolve, traditional methods for identifying harmful URLs—such as relying on blacklists and pattern recognition—are becoming less effective against new and sophisticated threats. Cybercriminals are constantly developing new tactics to evade detection, making it crucial to explore innovative solutions. This project aims to create a comprehensive system that detects malicious URLs by analyzing their fundamental features, rather than depending solely on historical data.
The proposed system will leverage blockchain technology to securely record and share information about URLs. By creating a decentralized and immutable ledger, the system ensures that once a URL is classified as malicious or benign, this information cannot be altered or tampered with. This secure approach not only strengthens the trustworthiness of the data but also facilitates collaboration among organizations, allowing them to share insights about potential threats more effectively.
Additionally, the system will employ encoding techniques to obscure URLs during the analysis process. This added layer of security helps protect sensitive information, making it more challenging for attackers to gain insights into the URLs being evaluated. By disguising URLs while still allowing for effective analysis, the system can better identify malicious threats without exposing users to unnecessary risks.
By focusing on the essential characteristics of URLs and integrating these advanced technologies, this project aims to significantly enhance organizations' ability to defend against cyber threats. Ultimately, the goal is to create a safer online experience for everyone, ensuring that users can navigate the Digital landscape with greater confidence and security.

Keywords: Cyber security, Malicious URLs, URL detection, Blockchain technology, Decentralized ledger, Threat intelligence, encoding techniques, Data integrity, Pattern recognition, Blacklists Static feature analysis, Cyber threats, online safety.

Paper Id: 231544

Published On: 2024-11-07

Published In: Volume 12, Issue 6, November-December 2024

Cite This: Malicious URL Detection (Extension) - Miss. Wakchaure Suvarna Sujit, Mr. Patole Pratik Suryabhan, Mr. Khatale Tushar Ashok, Mr. Panchave Shubham Bapu, Miss. Mahatme Sakshi Rajendra - IJIRMPS Volume 12, Issue 6, November-December 2024.

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