Security analysis of a large-scale concurrent data anonymous batch verification scheme for mobile healthcare crowd sensing

Security analysis of a large-scale concurrent data anonymous batch verification scheme for mobile healthcare crowd sensing

As an important application of the Internet of Things (IoT) technologies, mobile healthcare crowd sensing (MHCS) still has challenging issues, such as privacy protection and efficiency. Quite recently in IEEE Internet of Things Journal (DOI: 10.1109/JIOT.2018.2828463), Liu et al. proposed a large-sc...

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Bibliographic Details
Main Authors: ZHANG, Yinghui, SHU, Jiangang, LIU, Ximeng, LI, Jin, ZHENG, Dong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Batch authentication
Cryptanalysis
Anonymity
Mobile healthcare crowd sensing
Information Security
Medicine and Health Sciences
Online Access:https://ink.library.smu.edu.sg/sis_research/4152
https://ink.library.smu.edu.sg/context/sis_research/article/5156/viewcontent/Security_analysis_mobile_healthcare_2018_av.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4152
https://ink.library.smu.edu.sg/context/sis_research/article/5156/viewcontent/Security_analysis_mobile_healthcare_2018_av.pdf

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