TY - GEN
T1 - An efficient anonymous authentication scheme based on double authentication preventing signature for mobile healthcare crowd sensing
AU - Liu, Jinhui
AU - Yu, Yong
AU - Li, Yannan
AU - Zhao, Yanqi
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - With the widespread growth of cloud computing and mobile healthcare crowd sensing (MHCS), an increasing number of individuals are outsourcing their masses of bio-information in the cloud server to achieve convenient and efficient. In this environment, Cloud Data Center (CDC) needs to authenticate masses of information without revealing owners’ sensitive information. However, tremendous communication cost, storage space cost and checking time cost lead to CDC that give rise to all kinds of privacy concerns as well. To mitigate these issues, To mitigate these issues, we propose a data anonymous batch verification scheme for MHCS based on a certificateless double authentication preventing aggregate signature. The proposed scheme can authenticate all sensing bio-information in a privacy preserving way. We then present that the proposed CL-DAPAS scheme is existentially unforgeable in the Random Oracle Model (ROM) assuming that Computational Diffie-Hellman problem is difficult to solve. Furthermore, we provide an implementation and evaluate performance of the proposed scheme and demonstrate that it achieves less efficient computational cost compared with some related schemes.
AB - With the widespread growth of cloud computing and mobile healthcare crowd sensing (MHCS), an increasing number of individuals are outsourcing their masses of bio-information in the cloud server to achieve convenient and efficient. In this environment, Cloud Data Center (CDC) needs to authenticate masses of information without revealing owners’ sensitive information. However, tremendous communication cost, storage space cost and checking time cost lead to CDC that give rise to all kinds of privacy concerns as well. To mitigate these issues, To mitigate these issues, we propose a data anonymous batch verification scheme for MHCS based on a certificateless double authentication preventing aggregate signature. The proposed scheme can authenticate all sensing bio-information in a privacy preserving way. We then present that the proposed CL-DAPAS scheme is existentially unforgeable in the Random Oracle Model (ROM) assuming that Computational Diffie-Hellman problem is difficult to solve. Furthermore, we provide an implementation and evaluate performance of the proposed scheme and demonstrate that it achieves less efficient computational cost compared with some related schemes.
KW - Double authentication preventing signature
KW - Elliptic curve discrete logarithm problem
KW - Mobile healthcare crowd sensing
KW - Privacy
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85064116948&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064116948&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-14234-6_34
DO - 10.1007/978-3-030-14234-6_34
M3 - Conference contribution
AN - SCOPUS:85064116948
SN - 9783030142339
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 626
EP - 636
BT - Information Security and Cryptology - 14th International Conference, Inscrypt 2018, Revised Selected Papers
A2 - Guo, Fuchun
A2 - Yung, Moti
A2 - Huang, Xinyi
T2 - 14th International Conference on Information Security and Cryptology, Inscrypt 2018
Y2 - 14 December 2018 through 17 December 2018
ER -