Paper Info
Title
Privacy preserving authentication system based on non-interactive zero knowledge proof suitable for Internet of Things
Abstract
Nowadays, with the advancement of smart technologies, the Internet of Things (IoT) emerged as a booming technology that can provide better quality and facilities for the residents of smart cities. Smart cities can offer several services and have several applications in healthcare, transportation, education etc. Despite such a potential vision, the privacy of users on these IoT devices is a major concern. Most authentication schemes do not provide privacy and anonymity to legitimate users. to tackle this problem, we propose an efficient Zero Knowledge-based authentication scheme in the paper that authenticates devices on the network without knowing the information about user identity or revealing any other data entered by users. To explain our system framework at the micro-level, we apply our privacy-preserving scheme to IoT based healthcare applications, but it can easily be extended to the more general use cases where privacy-preserving authentication is required. This paper’s second major contribution is designing the data encryption algorithm ZKNimble that is mainly suitable for lightweight devices. Once the user is authenticated using Zero Knowledge Proof, the ZKNimble cipher can be used for legitimate users’ encryption and decryption processes.
Year
DOI
Venue
2022
10.1007/s12652-021-03459-4
Journal of Ambient Intelligence and Humanized Computing
Keywords
DocType
Volume
Internet of Things, Smart cities, Healthcare, Authentication, Zero knowledge proof, Security, Privacy
Journal
13
Issue
ISSN
Citations 
10
1868-5137
1
PageRank 
References 
Authors
0.37
12
6
Name
Order
Citations
PageRank
Dwivedi Ashutosh Dhar110.37
Singh Rajani210.37
Ghosh Uttam310.37
Mukkamala Raghava Rao410.37
Tolba Amr510.37
Said Omar610.37