Contagion in cybersecurity attacks
- Submitting institution
-
University College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14142
- Type
- D - Journal article
- DOI
-
10.1057/jors.2016.37
- Title of journal
- Journal of the Operational Research Society
- Article number
- -
- First page
- 780
- Volume
- 68
- Issue
- 7
- ISSN
- 1476-9360
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Identifies, characterizes, and models a significant problem in attacks on Internet-connected devices. Grounded in SANS data, provides a mathematical model, based on Hawkes process, that, surprisingly, reveals hidden relationships between attacks. Many papers susequently using Hawkes (e.g., at Cybersafety 2019, WWW). With other papers, similar authorship, forms body of work partly basis for proposed US-UK Dartmouth-led security vulnerabilties institute. Shortlisted (one of three) for the 2018 Operational Research Society Goodeve Medal. Although the paper did not win, the ORS judges --- recognizing the `exceptional standard within the final shortlist’ --- chose to send he authors a letter of commendation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -