Eliciting and utilising knowledge for security event log analysis : an association rule mining and automated planning approach
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2018.07.006
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 116
- Volume
- 113
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- 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
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1
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a Scimago-ranked Q1 Journal, the paper introduces a novel mechanism for learning and utilising security knowledge from readily available system information. As a result of this research, Parkinson secured funding to pursue commercialisation opportunities under the highly competitive Innovate UK Academics Start-up Programme. He also secured funding for scoping out the market opportunity and developing an initial prototype, cf page 18 of (https://admin.ktn-uk.co.uk/app/uploads/2019/01/Cyber-Security-Square-Booklet-2019-Digital.pdf). This research resulted in the inclusion of research software deliverables as a key vision of Kirklees Council’s Digital Strategy, cf page 12 of (https://kirklees.tal.net/vx/lang-en-GB/mobile-0/appcentre-1/brand-4/xf-1999186a1c0d/candidate/download_file_opp/1837/105941/1/0/5c7d73e13c7dee008b8bdbf5dcb08a51819fb0d2)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -