PHOABE: Securely outsourcing multi-authority attribute based encryption with policy hidden for cloud assisted IoT
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2611
- Type
- D - Journal article
- DOI
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10.1016/j.comnet.2018.01.036
- Title of journal
- Computer Networks
- Article number
- -
- First page
- 141
- Volume
- 133
- Issue
- -
- ISSN
- 1389-1286
- Open access status
- Deposit exception
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- 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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4
- Research group(s)
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F - Security of Advanced Systems
- Citation count
- 37
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Ensuring privacy in practical implementations of multi-authority Attribute Based Encryption (ABE) algorithms is a major problem for decentralised resource constrained environments. PHOABE is the first offloading algorithm (delegating partial decryption to computationally more powerful nodes) for multi-authority ABE schemes. PHOABE's implementation (based on constant size cipher-texts and supporting the policy hidden feature) provides significant privacy enhancement to devices operating in such environments. Indeed, PHOABE's building blocks have been integrated in the H2020 TeSLA project (H2020-ICT-2015/H2020-ICT-2015 TeSLA project An Adaptive Trust-based e-assessment System for Learning, Number 688520, https://tesla-project-eu.azurewebsites.net, Implementation: https://github.com/jgalfaro/mirrored-PKIPCS/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -