Intrusion detection system for the Internet of Things based on blockchain and multi-agent systems
- Submitting institution
-
Abertay University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 31805125
- Type
- D - Journal article
- DOI
-
10.3390/electronics9071120
- Title of journal
- Electronics
- Article number
- -
- First page
- 1
- Volume
- 9
- Issue
- 7
- ISSN
- 2079-9292
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
7
- Research group(s)
-
C - Cybersecurity
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- With the Internet of Things (IoT), there are significant security concerns. This implemented Intrusion Detection System (IDS) applies a hybrid placement strategy based on a multi-agent system, blockchain, and deep learning algorithms. Adopting multi-agent systems facilitates the IDS across a range of IoT environments, with this national security dataset (NSL-KDD) dataset, leading to further research. All activities are recorded on the blockchain, which enhances the system security. In comparison with traditional IDS, this approach achieves improved efficiency in detecting attacks from the transport layer.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
