Multiattribute SCADA-specific intrusion detection system for power networks
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1402
- Type
- D - Journal article
- DOI
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10.1109/TPWRD.2014.2300099
- Title of journal
- IEEE Transactions on Power Delivery
- Article number
- -
- First page
- 1092
- Volume
- 29
- Issue
- 3
- ISSN
- 0885-8977
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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
-
6
- Research group(s)
-
-
- Citation count
- 73
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by the EU FP7 PRECYSE and EPSRC CSIT (EP/G034303/1 & EP/H049606/1) projects. The PRECYSE project was coordinated by ETRA and collaborated with Queen’s University Belfast (QUB), Austrian Institute of Technology (AIT), The Fraunhofer-Gesellschaft, Skytek, Thales, University of Agder, Valencia Municipality, and LINZ AG. The work has led to research funding: EU FP7 SPARKS and EPSRC CSIT 2 (EP/N508664/1) projects. The SPARKS project was coordinated by AIT and collaborated with QUB, The Fraunhofer-Gesellschaft, Johannes Kepler University, EMC, KTH Royal Institute of Technology, Landis+Gyr AG, United Technologies Research Center (UTRC), and SWW Wunsiedel GmbH.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -