Blockchain Based Intrusion Detection Systems using Novel Hybrid Algorithm (BIDS-NHA)

ABSTRACTThe increasing expansion of digital systems and networks has made the requirement for strong data securitymechanisms more crucial than ever before. Intrusion Detection Systems (IDS) play a vital role in promptlyidentifying and addressing potential security threats. However, conventional IDS solutions encounter difficultiesin ensuring the integrity and confidentiality of sensitive data, given their dependence on centralized architecturesthat are susceptible to single points of failure and unauthorized access. This research paper introduces aninnovative blockchain-based approach to bolster data security in IDS. Through the utilization of Block chainBased Intrusion Detection Systems using Novel Hybrid Algorithm (BIDS-NHA), the overall classificationaccuracy has been elevated to 98.7%, with a false alarm rate of 1.07.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15771378
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain Based Intrusion Detection Systems using Novel Hybrid Algorithm (BIDS-NHA)

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Blockchain Based Intrusion Detection Systems using Novel Hybrid Algorithm (BIDS-NHA)

article en

Abstract

ABSTRACTThe increasing expansion of digital systems and networks has made the requirement for strong data securitymechanisms more crucial than ever before. Intrusion Detection Systems (IDS) play a vital role in promptlyidentifying and addressing potential security threats. However, conventional IDS solutions encounter difficultiesin ensuring the integrity and confidentiality of sensitive data, given their dependence on centralized architecturesthat are susceptible to single points of failure and unauthorized access. This research paper introduces aninnovative blockchain-based approach to bolster data security in IDS. Through the utilization of Block chainBased Intrusion Detection Systems using Novel Hybrid Algorithm (BIDS-NHA), the overall classificationaccuracy has been elevated to 98.7%, with a false alarm rate of 1.07.

Zenodo (CERN European Organization for Nuclear Research)
IFTM University (IN)
Openalex Percentile: Top 38%
Internet of Things and AI
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