Cryptanalysis of Two Privacy-Preserving Authentication Schemes for Smart Healthcare Applications

Author:

Xu Feihong1,Luo Junwei2,Ziaur Rahman3

Affiliation:

1. School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China

2. School of Computing Technologies, RMIT University, Melbourne, VIC 3083, Australia

3. School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia

Abstract

Ensuring the secure sharing of privacy-sensitive healthcare data is attracting considerable interest from researchers. Recently, Ogundoyin et al. designed a lightweight privacy-preserving authentication scheme named PAASH for smart health applications. Benil et al. proposed a public verification and auditing scheme named ECACS for securing e-health systems. Ogundoyin et al. and Benil et al. proposed an efficient certificateless aggregate signature (CLAS) scheme as their respective foundation signature schemes. They declared that their constructions were provably secure under the hardness assumption of cryptographic problems. In this work, we disprove their claim by analyzing the correctness and security of their underlying CLAS schemes. We first show that the batch verification process of n signatures for the CLAS scheme in PAASH is incorrect, and any public-key replacement attacker can easily break the scheme. We analyze the reasons for our attack and propose an improved scheme, named PAASH+. We then show that the CLAS scheme in ECACS fails to achieve correctness, an essential property that a cryptographic scheme should provide. As a result, it is impractical to deploy the designed PAASH and ECACS constructions in any real smart health applications.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference25 articles.

1. Estopace, E. (2023, June 19). IDC Forecasts Connected IoT Devices to Generate 79.4 ZB of Data in 2025. Available online: https://futureiot.tech/idc-forecasts-connected-iot-devices-to-generate-79-4zb-of-data-in-2025/.

2. PAASH: A privacy-preserving authentication and fine-grained access control of outsourced data for secure smart health in smart cities;Ogundoyin;J. Parallel Distrib. Comput.,2021

3. Authenticated Data Sharing With Privacy Protection and Batch Verification for Healthcare IoT;Zhu;IEEE Trans. Sustain. Comput.,2023

4. Aggregate and Verifiably Encrypted Signatures from Bilinear Maps;Boneh;Proceedings of the EUROCRYPT 2003,2003

5. A Secure and Efficient ID-Based Aggregate Signature Scheme for Wireless Sensor Networks;Shen;IEEE Internet Things J.,2017

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3