PROUD: Verifiable Privacy-preserving Outsourced Attribute Based SignCryption supporting access policy Update for cloud assisted IoT applications
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2368
- Type
- D - Journal article
- DOI
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10.1016/j.future.2019.11.012
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 899
- Volume
- 111
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- 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
-
3
- Research group(s)
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D - Smart Infrastructure
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- With increased migration to the cloud, data privacy faces ever-evolving cybersecurity threats. This research presents an approach for the access control and secure processing of encrypted data on the cloud. It allows access to policy update without ciphertext re-signcryption or re-issuing users’ keys while offloading computation overhead to semi-trusted edge servers. Analytical and experimental evaluation validates the partially designcrypted message received from edge servers. The low computation overhead and the fixed size of ciphertext makes PROUD widely applicable to resource constrained embedded systems, e.g., Internet of Things. Quantum specialist Blueskytec (nigel.mackie@blueskytec.com) is supporting a post-quantum construction of PROUD.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -