A Probabilistic Logic of Cyber Deception
- Submitting institution
-
King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 126663710
- Type
- D - Journal article
- DOI
-
10.1109/TIFS.2017.2710945
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- 7937934
- First page
- 2532
- Volume
- 12
- Issue
- 11
- ISSN
- 1556-6013
- Open access status
- Deposit exception
- Month of publication
- June
- 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
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces the first logic-driven framework for runtime deployment of fake network services, with the purpose of fooling attackers into lower risk areas of an organization. The approach increases attacker confusion by disclosing a mix of fake and true information. The most innovative aspect relies on the efficiency and flexibility of the runtime deployment, where prior work only allowed static deployments. We experimentally demonstrate (with t-test and u-test validity) the intuition that long-tail distribution of critical resources achieves better defence than other approaches. The work was the subject of an invited plenary at GameSec 2017 by co-author Subrahmanian (https://www.gamesec-conf.org/2017/program.php).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
