An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12888 |
| _version_ | 1797673954103525376 |
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| author | Aliyu Ahmed Abubakar Jinshuo Liu Ezekia Gilliard |
| author_facet | Aliyu Ahmed Abubakar Jinshuo Liu Ezekia Gilliard |
| author_sort | Aliyu Ahmed Abubakar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:51:55Z |
| format | Article |
| id | doaj.art-e310ab0c616d4d209787f600b837cfcc |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-03-11T21:51:55Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-e310ab0c616d4d209787f600b837cfcc2023-09-26T08:10:29ZengWileyElectronics Letters0013-51941350-911X2023-09-015918n/an/a10.1049/ell2.12888An efficient blockchain‐based approach to improve the accuracy of intrusion detection systemsAliyu Ahmed Abubakar0Jinshuo Liu1Ezekia Gilliard2School of Cyber Science and Engineering Wuhan University WuhanChinaSchool of Cyber Science and Engineering Wuhan University WuhanChinaSchool of Cyber Science and Engineering Wuhan University WuhanChinaAbstract 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.https://doi.org/10.1049/ell2.12888computer network securityinteractive systemslearning (artificial intelligence)wireless communications |
| spellingShingle | Aliyu Ahmed Abubakar Jinshuo Liu Ezekia Gilliard An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems Electronics Letters computer network security interactive systems learning (artificial intelligence) wireless communications |
| title | An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems |
| title_full | An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems |
| title_fullStr | An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems |
| title_full_unstemmed | An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems |
| title_short | An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems |
| title_sort | efficient blockchain based approach to improve the accuracy of intrusion detection systems |
| topic | computer network security interactive systems learning (artificial intelligence) wireless communications |
| url | https://doi.org/10.1049/ell2.12888 |
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