Authenticated Data Sharing With Privacy Protection and Batch Verification for Healthcare IoT

被引:9
|
作者
Zhu, Fei [1 ]
Yi, Xun [1 ]
Abuadbba, Alsharif [2 ,3 ]
Khalil, Ibrahim [1 ]
Nepal, Surya [2 ,3 ]
Huang, Xinyi [4 ]
机构
[1] RMIT Univ, Sch Comp Technol, Melbourne, Vic 3000, Australia
[2] CSIROs Data61, Marsfield, NSW 2122, Australia
[3] Cyber Secur CRC, Marsfield, NSW 2122, Australia
[4] Hong Kong Univ Sci & Technol Guangzhou, Artificial Intelligence Thrust, Informat Hub, Guangzhou 511458, Guangdong, Peoples R China
来源
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Internet of Things; Medical services; Data privacy; Servers; Bandwidth; Privacy; Medical diagnostic imaging; Authentication; healthcare IoT; redactable signature; certificateless; data privacy; CERTIFICATELESS SIGNATURE SCHEME;
D O I
10.1109/TSUSC.2022.3211298
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The healthcare Internet of Things (IoT) is rapidly becoming an invaluable tool in the healthcare industry. However, sharing data in healthcare IoT raises many security and privacy concerns, such as how to ensure data integrity, source authentication, and data privacy. Redactable signature schemes (RSSs) could be a feasible solution to address this question because it allows a signature holder to independently delete the privacy-sensitive part of the authenticated data without invalidating the respective signature. This flexible data sharing mechanism not only protects data privacy but also saves bandwidth. However, the state-of-the-art RSSs suffer from either the costly public key management problem or the secret key escrow problem. Another drawback of these schemes lies in their computation and communication overheads and hence are quite expensive for constrained devices. To address these challenging issues, in this work, we first propose the notion of certificateless RSS. We then provide an efficient instantiation of our scheme and prove its security under cryptographic assumptions. Our construction supports batch verification and redaction control, which further saves bandwidth and enhances the security of shared data by preventing the dishonest holder from arbitrarily editing data. Moreover, the comparison analysis of theory and experiment with more recent works shows the practicability of our design.
引用
收藏
页码:32 / 42
页数:11
相关论文
共 50 条
  • [41] Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge
    Fei Yu
    Zhanglong Ji
    [J]. BMC Medical Informatics and Decision Making, 14
  • [42] Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge
    Yu, Fei
    Ji, Zhanglong
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2014, 14
  • [43] Privacy and Data Protection in Healthcare: eHealth for All - Keynote Address
    Schizas, Christos N.
    [J]. ENABLING HEALTH INFORMATICS APPLICATIONS, 2015, 213 : 7 - 7
  • [44] Frontex as a hub for surveillance and data sharing: Challenges for data protection and privacy rights
    Gandhi, Shrutika
    [J]. COMPUTER LAW & SECURITY REVIEW, 2024, 53
  • [45] Operationalizing Privacy Compliance for Cloud-hosted Sharing of Healthcare Data
    Eze, Benjamin
    Kuziemsky, Craig
    Peyton, Liam
    [J]. 2018 IEEE/ACM INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING IN HEALTHCARE SYSTEMS (SEHS), 2018, : 18 - 25
  • [46] Enabling efficient and secure health data sharing for Healthcare IoT systems
    Zhu, Liehuang
    Xie, Yumeng
    Zhou, Yuao
    Fan, Qing
    Zhang, Chuan
    Liu, Ximeng
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2023, 149 : 304 - 316
  • [47] Security and Privacy in IoT Smart Healthcare
    Karunarathne, Sivanarayani M.
    Saxena, Neetesh
    Khan, Muhammad Khurram
    [J]. IEEE INTERNET COMPUTING, 2021, 25 (04) : 37 - 48
  • [48] Trustworthiness in IoT - A Standards Gap Analysis on Security, Data Protection and Privacy
    Labib, Nader S.
    Brust, Matthias R.
    Danoy, Gregoire
    Bouvry, Pascal
    [J]. 2019 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING (CSCN), 2019,
  • [49] Location Privacy Protection for UAVs in Package Delivery and IoT Data Collection
    Enayati, Saeede
    Goeckel, Dennis
    Houmansadr, Amir
    Pishro-Nik, Hossein
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (23) : 20586 - 20601
  • [50] STT-MRAM Application on IoT Data Privacy Protection System
    Lai, Hung-Ju
    Huang, Ren-Yu
    Huang, Jun-Ying
    Tsou, Yao-Tung
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2018,