Distributed privacy protection strategy for MEC enhanced wireless body area networks
With the rapid development and widespread application of Wireless Body Area Networks (WBANs), the traditional centralized system architecture cannot handle the massive data generated by the edge devices. Meanwhile, in order to ensure the security of physiological privacy data and the identity privac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2020-05-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864819300872 |
| _version_ | 1819290365997350912 |
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| author | Yan Zhen Hanyong Liu |
| author_facet | Yan Zhen Hanyong Liu |
| author_sort | Yan Zhen |
| collection | DOAJ |
| description | With the rapid development and widespread application of Wireless Body Area Networks (WBANs), the traditional centralized system architecture cannot handle the massive data generated by the edge devices. Meanwhile, in order to ensure the security of physiological privacy data and the identity privacy of patients, this paper presents a privacy protection strategy for Mobile Edge Computing(MEC) enhanced WBANs, which leverages the blockchain-based decentralized MEC paradigm to support efficient transmission of privacy information with low latency, high reliability within a high-demand data security scenario. On this basis, the Merkle tree optimization model is designed to authenticate nodes and to verify the source of physiological data. Furthermore, a hybrid signature algorithm is devised to guarantee the node anonymity with unforgeability, data integrity and reduced delay. The security performance analysis and simulation results show that our proposed strategy not only reduces the delay, but also secures the privacy and transmission of sensitive WBANs data. |
| first_indexed | 2024-12-24T03:21:36Z |
| format | Article |
| id | doaj.art-e67c4c60a66e4f21935da0e8d94d7aa3 |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-12-24T03:21:36Z |
| publishDate | 2020-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-e67c4c60a66e4f21935da0e8d94d7aa32022-12-21T17:17:29ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482020-05-0162229237Distributed privacy protection strategy for MEC enhanced wireless body area networksYan Zhen0Hanyong Liu1Key Laboratory of Optical Communication and Networks in Chongqing, Key Laboratory of Ubiquitous Sensing and Networking in Chongqing, Chongqing, 400065, China; School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400054, China; State Grid Information and Telecommunication Co. Ltd, Beijing, 100031, ChinaKey Laboratory of Optical Communication and Networks in Chongqing, Key Laboratory of Ubiquitous Sensing and Networking in Chongqing, Chongqing, 400065, China; School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400054, China; Corresponding author.With the rapid development and widespread application of Wireless Body Area Networks (WBANs), the traditional centralized system architecture cannot handle the massive data generated by the edge devices. Meanwhile, in order to ensure the security of physiological privacy data and the identity privacy of patients, this paper presents a privacy protection strategy for Mobile Edge Computing(MEC) enhanced WBANs, which leverages the blockchain-based decentralized MEC paradigm to support efficient transmission of privacy information with low latency, high reliability within a high-demand data security scenario. On this basis, the Merkle tree optimization model is designed to authenticate nodes and to verify the source of physiological data. Furthermore, a hybrid signature algorithm is devised to guarantee the node anonymity with unforgeability, data integrity and reduced delay. The security performance analysis and simulation results show that our proposed strategy not only reduces the delay, but also secures the privacy and transmission of sensitive WBANs data.http://www.sciencedirect.com/science/article/pii/S2352864819300872Wireless body area networksBlockchainMobile edge computingHybrid signature algorithmMerkle tree optimization model |
| spellingShingle | Yan Zhen Hanyong Liu Distributed privacy protection strategy for MEC enhanced wireless body area networks Digital Communications and Networks Wireless body area networks Blockchain Mobile edge computing Hybrid signature algorithm Merkle tree optimization model |
| title | Distributed privacy protection strategy for MEC enhanced wireless body area networks |
| title_full | Distributed privacy protection strategy for MEC enhanced wireless body area networks |
| title_fullStr | Distributed privacy protection strategy for MEC enhanced wireless body area networks |
| title_full_unstemmed | Distributed privacy protection strategy for MEC enhanced wireless body area networks |
| title_short | Distributed privacy protection strategy for MEC enhanced wireless body area networks |
| title_sort | distributed privacy protection strategy for mec enhanced wireless body area networks |
| topic | Wireless body area networks Blockchain Mobile edge computing Hybrid signature algorithm Merkle tree optimization model |
| url | http://www.sciencedirect.com/science/article/pii/S2352864819300872 |
| work_keys_str_mv | AT yanzhen distributedprivacyprotectionstrategyformecenhancedwirelessbodyareanetworks AT hanyongliu distributedprivacyprotectionstrategyformecenhancedwirelessbodyareanetworks |