Virtual IoT HoneyNets to mitigate cyberattacks in SDN/NFV-enabled IoT networks
- Submitting institution
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University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21434393
- Type
- D - Journal article
- DOI
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10.1109/JSAC.2020.2986621
- Title of journal
- IEEE Journal on Selected Areas in Communications
- Article number
- 9060972
- First page
- 1262
- Volume
- 38
- Issue
- 6
- ISSN
- 0733-8716
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research work has delivered a fully automated cognitive network management framework and has demonstrated its effectiveness when protecting a large-scale low-cost, low-resourced IoT network against cyber-attacks, without human intervention, which the impact in reduction of both capital and operational costs associated to this innovation. This work is a collaboration between two large H2020 EU initiatives: ANASTASIA (GA: 731558 - 5m EUR) and SliceNet (GA: 761913 - 8m EUR). ANASTASIA, technically led by UMU, has demonstrated the enablers for automated security management and SliceNet, technically led by UWS, has demonstrated the cognitive management capabilities of the framework.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -