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Outsourced decentralized multi-authority attribute based signature and its application in IoT

Outsourced decentralized multi-authority attribute based signature and its application in IoT

Sun, Jiameng, Su, Ye, Qin, Jing, Hu, Jiankun and Ma, Jixin (2019) Outsourced decentralized multi-authority attribute based signature and its application in IoT. IEEE Transactions on Cloud Computing. pp. 1-14. ISSN 2168-7161 (Online) (doi:https://doi.org/10.1109/TCC.2019.2902380)

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Abstract

IoT devices often collect data and store the data in the cloud for sharing and further processing. A natural solution for secure access is directly using the device owner?s identity as the private key to generate a signature for data authentication. However this will simultaneously expose this identity. Attribute based signature (ABS), which takes the signer?s attributes instead of his/her identity as the private key, can realize data authentication while preserving the signer?s identity privacy. In ABS, there are multiple authorities that issue different private keys for signers based on their various attributes, and a central authority is usually established to manage all these attribute authorities. However, one security concern is that if the central authority is compromised, the whole system will be broken. In this paper, we present an outsourced decentralized multi-authority attribute based signature (ODMA-ABS) scheme. The proposed ODMAABS achieves attribute privacy and stronger authority-corruption resistance than existing multi-authority attribute based signature schemes. In addition, the overhead to generate a signature is further reduced by outsourcing expensive computation to a signing cloud server. We provide extensive security analysis and experimental simulation of the proposed scheme. We also propose an access control scheme that is based on ODMA-ABS.

Item Type: Article
Uncontrolled Keywords: attribute based signature, anonymous authentication, outsourcing computation, access control.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Computer & Computational Science
Faculty of Liberal Arts & Sciences > Department of Computing & Information Systems
Last Modified: 30 Sep 2019 11:57
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 1
URI: http://gala.gre.ac.uk/id/eprint/24310

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