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Enhanced honeypot security for intrusion detection and prevention systems using blockchain

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Seetharam kakaraparthi, Durganjaneyulu immadisetty *  and Maranco M

Department of Networking and Communications, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.

Research Article
 

World Journal of Advanced Research and Reviews, 2024, 22(01), 751–758
Article DOI: 10.30574/wjarr.2024.22.1.1065
DOI url: https://doi.org/10.30574/wjarr.2024.22.1.1065

Received on 26 February 2024; revised on 11 April 2024; accepted on 13 April 2024

The project aims to enhance honeypot security through the integration of blockchain technology into an intrusion detection and prevention system (IDPS). Honeypots are decoy systems deployed to detect, deflect, or study unauthorized use of information systems. By leveraging blockchain, a decentralized and tamper-proof ledger, the project ensures the integrity and immutability of honeypot data, providing robust security against cyber threats.The system employs a blockchain-based architecture where each honeypot event is recorded as a block in the chain, ensuring the integrity of the data. Additionally, smart contracts are utilized to automatically execute predefined actions based on specific conditions detected by the honeypot system, such as blocking IP addresses upon detecting malicious activities. Furthermore, the system facilitates the sharing of threat intelligence among peers in real-time, enhancing collaborative security efforts. Through the integration of blockchain technology, smart contracts, and threat intelligence sharing, the project offers an innovative approach to honeypot security, providing organizations with a more resilient defense against cyber threats.

Intrusion detection; Intrusion prevention; Block chain; Honeypot; Cyber threats

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2024-1065.pdf

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Seetharam kakaraparthi, , Durganjaneyulu immadisetty and Maranco M. Enhanced honeypot security for intrusion detection and prevention systems using blockchain. World Journal of Advanced Research and Reviews, 2024, 22(01), 751–758. Article DOI: https://doi.org/10.30574/wjarr.2024.22.1.1065

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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