PAASH: A privacy-preserving authentication and fine-grained access control of outsourced data for secure smart health in smart cities

被引:17
|
作者
Ogundoyin, Sunday Oyinlola [1 ]
Kamil, Ismaila Adeniyi [1 ]
机构
[1] Univ Ibadan, Dept Elect & Elect Engn, Secur Privacy & Commun SPCOM Res Grp, Ibadan, Nigeria
关键词
Smart health; Certificateless aggregate signature; Access control; Aggregation; Random oracle; CERTIFICATELESS AGGREGATE SIGNATURE; SCHEME; INTERNET; EFFICIENT; THINGS; PAIRINGS; CONTEXT; CITY;
D O I
10.1016/j.jpdc.2021.05.001
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Very recently, a number of intelligent applications have evolved in smart cities such as smart grid, smart parking, smart waste management, smart manufacturing, smart home, and smart health, making our cities more smarter. In the context of smart health, smart devices are employed to collect and transmit biomedical information to a medical server, allowing medical practitioners to give better and improved healthcare services. However, considering the sensitive nature of the medical data, any illegal access may have devastating effects on the patient's health condition. A lightweight privacy-preserving authentication and fine-grained access control scheme for smart health known as PAASH is proposed. In PAASH, a new ultraefficient certificateless signature scheme with compact aggregation is developed to achieve source authentication and data integrity. To achieve efficient user authorization and data confidentiality, a privacy-preserving access control technique using the developed aggregate signature and ciphertext-policy attribute-based encryption (CP-ABE) is implemented. An analysis of PAASH reveals that it can provide desirable privacy and security measures in smart health. Moreover, the formal security demonstrated in the random oracle model (ROM) shows that PAASH is semantically secure under the intractability of the Discrete Logarithm Problem (DLP). The performance evaluation shows that PAASH is par excellence practically suitable for smart health. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:101 / 119
页数:19
相关论文
共 50 条
  • [21] Method for Providing Secure and Private Fine-grained Access to Outsourced Data
    Jahan, Mosarrat
    Rezvani, Mohsen
    Seneviratne, Aruna
    Jha, Sanjay
    [J]. 40TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2015), 2015, : 406 - 409
  • [22] Privacy Preserving Fine-Grained Data Distribution Aggregation for Smart Grid AMI Networks
    Oriero, Enahoro
    Rahman, Mohammad Ashiqur
    [J]. 2018 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2018), 2018, : 249 - 254
  • [23] Privacy-preserving and Fine-grained Data Aggregation Framework for Crowdsourcing
    Zhuo, Gaoqiang
    [J]. 2017 TENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU), 2017, : 93 - 98
  • [24] Secure and efficient pseudonymization for privacy-preserving vehicular communications in smart cities
    Bouchelagherm, Siham
    Omar, Mawloud
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 82 (82)
  • [25] A Data Aggregation Scheme with Fine-grained Access Control for the Smart Grid
    Wen, Mi
    Zhang, Xu
    Li, Hongwei
    Li, Jinguo
    [J]. 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [26] Privacy-Preserving Location Authentication in WiFi with Fine-Grained Physical Layer Information
    Chen, Yingjie
    Wang, Wei
    Zhang, Qian
    [J]. 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), 2014, : 4827 - 4832
  • [27] Lightweight and Privacy-Aware Fine-Grained Access Control for IoT-Oriented Smart Health
    Sun, Jianfei
    Xiong, Hu
    Liu, Ximeng
    Zhang, Yinghui
    Nie, Xuyun
    Deng, Robert H.
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (07) : 6566 - 6575
  • [28] Privacy-Preserving Overgrid: Secure Data Collection for the Smart Grid
    Croce, Daniele
    Giuliano, Fabrizio
    Tinnirello, Ilenia
    Giarre, Laura
    [J]. SENSORS, 2020, 20 (08)
  • [29] A Fine-Grained Access Control Model for Smart Grid
    Wang, Chen
    Ai, Hong
    Wu, Lie
    Yang, Yun
    [J]. APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 772 - 776
  • [30] Privacy Preserving Searchable Encryption with Fine-Grained Access Control
    Chaudhari, Payal
    Das, Manik Lal
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2021, 9 (02) : 753 - 762