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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

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Paper Title: A Comprehensive Review of Block Chain-Based Intrusion Detection Systems for IoT Networks
Authors Name: Sandhya Jaiswal , Anurag Shrivastava
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IJRTI_209349
Published Paper Id: IJRTI2601107
Published In: Volume 11 Issue 1, January-2026
DOI:
Abstract: The rapid growth of Internet of Things (IoT) networks has increased security vulnerabilities due to their distributed, resource-constrained, and heterogeneous nature. Traditional intrusion detection systems (IDS) often face limitations related to scalability, data integrity, and centralized trust. This review presents a comprehensive analysis of blockchain-based intrusion detection systems for IoT networks, highlighting how blockchain technology enhances security through decentralization, immutability, and transparent data sharing. Existing studies integrating blockchain with machine learning and deep learning–based IDS are examined, along with commonly used architectures, consensus mechanisms, and performance metrics. The review also discusses key challenges such as computational overhead, latency, and energy consumption. Finally, open research issues and future directions are identified to support the development of secure, efficient, and scalable blockchain-enabled IDS solutions for IoT environments.
Keywords: Blockchain, Intrusion Detection System, Internet of Things, Network Security, Machine Learning, Decentralization, Smart Contracts
Cite Article: "A Comprehensive Review of Block Chain-Based Intrusion Detection Systems for IoT Networks ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b33-b36, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601107.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2601107
Registration ID:209349
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: b33-b36
Country: Bhopal, MP, india
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601107
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601107
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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