An efficient blockchain-based approach to improve the accuracy of intrusion detection systems

【Author】 Abubakar, Aliyu Ahmed; Liu, Jinshuo; Gilliard, Ezekia

【Source】ELECTRONICS LETTERS

【影响因子】1.202

【Abstract】Intrusion Detection System (IDS) is a critical cybersecurity task that involves monitoring network traffic for malicious activity and taking appropriate action to stop it. However, insufficient training data or improperly chosen thresholds often limit the accuracy of such systems, resulting in high false-positive rates. To improve the accuracy of an IDS, blockchain technology can be used as it provides a secure, decentralized, immutable ledger that can track suspicious activity over time and also identify intrusions globally. In this paper, the authors propose a novel methodology to improve the accuracy of blockchain-based IDS. The approach combines different intrusion detection algorithms using a blockchain-integrated architecture. It is based on the fusion principle and weighted votes, which the authors used to determine their results. The authors tested the system on DARPA 99 and MIT-Lincoln Labs datasets using accuracy and false-positive rate as their two metrics. The system achieved 92.6% accuracy and 7.4% false-positive rates, indicating that the proposed system significantly increases the accuracy while reducing the false-positive rate, opening up new opportunities for the development of highly accurate networks. In this paper, the authors propose a novel methodology to improve the accuracy of blockchain-based intrusion detection and prevention systems, which is based on combining different intrusion detection algorithms and using a blockchain-integrated architecture. The authors tested the system on DARPA 99 and MIT-Lincoln Labs datasets using accuracy and false-positive rate as their two metrics. The system achieved 92.6% accuracy and 7.4% false-positive rate, indicating that the proposed system significantly increases the accuracy while reducing the false-positive rate, opening up new opportunities for the development of highly accurate networks.

【Keywords】computer network security; interactive systems; learning (artificial intelligence); wireless communications

【发表时间】2023 SEP

【收录时间】2023-09-30

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-网安领域