Biometrics-Based Privacy-Preserving User Authentication Scheme for Cloud-Based Industrial Internet of Things DeploymentShow others and affiliations
2018 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 5, no 6, p. 4900-4913Article in journal (Refereed) Published
Abstract [en]
Due to the widespread popularity of Internet-enabled devices, Industrial Internet of Things (IIoT) becomes popular in recent years. However, as the smart devices share the information with each other using an open channel, i.e., Internet, so security and privacy of the shared information remains a paramount concern. There exist some solutions in the literature for preserving security and privacy in IIoT environment. However, due to their heavy computation and communication overheads, these solutions may not be applicable to wide category of applications in IIoT environment. Hence, in this paper, we propose a new Biometric-based Privacy Preserving User Authentication (BP2UA) scheme for cloud-based IIoT deployment. BP2UA consists of strong authentication between users and smart devices using pre-established key agreement between smart devices and the gateway node. The formal security analysis of BP2UA using the well-known ROR model is provided to prove its session key security. Moreover, an informal security analysis of BP2UA is also given to show its robustness against various types of known attacks. The computation and communication costs of BP2UA in comparison to the other existing schemes of its category demonstrate its effectiveness in the IIoT environment. Finally, the practical demonstration of BP2UA is also done using the NS2 simulation.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018. Vol. 5, no 6, p. 4900-4913
Keywords [en]
Biometrics, Industrial Internet of Things (IIoT), key agreement, NS2 simulation, security, user authentication
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-71344DOI: 10.1109/JIOT.2018.2877690ISI: 000456475500057Scopus ID: 2-s2.0-85055727588OAI: oai:DiVA.org:ltu-71344DiVA, id: diva2:1258881
Note
Validerad;2019;Nivå 2;2019-02-11 (inah)
2018-10-262018-10-262019-09-13Bibliographically approved