Adaptive sharing for online social networks: a trade-off between privacy risk and social benefit
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587358
- Type
- E - Conference contribution
- DOI
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10.1109/TrustCom.2014.10
- Title of conference / published proceedings
- 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-14)
- First page
- 45
- Volume
- -
- Issue
- -
- ISSN
- 2324-9013
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
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- 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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3
- Research group(s)
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-
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel calculus for social network data sharing that enables trade-off between privacy risks and social benefits to enable adaptive sharing. Won the best paper award at TrustCom’2014 and was the basis for several subsequent results in adaptive privacy management in social networks, including an EPSRC-funded project (EP/K033522/1) and publications in leading conferences such as Software Engineering for Adaptive and Self-Managing Systems (Calikli et al., 2016) and Automated Software Engineering (Rafiq et al., 2017). The trade-off approach presented is often cited to motivate models that include the benefits and risks of information sharing (e.g., Frik et al., 2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -