Name
Title | ||
|---|---|---|
Privacy Preserving Scalable Authentication Protocol with Partially Trusted Third Party for Distributed Internet-of-Things |
Abstract | ||
|---|---|---|
Internet-of-Things (IoT) has triggered substantial research in real-time applications of distributed networking infrastructure involving disparate entities with heterogeneous protocol configuration stacks. The disparate characteristics of diverse infrastructures elevate the need for improved authentication in distributed IoT. The distributed environment also amplifies the requirement of effective scalability to eliminate halting or restarting of a system whenever any fresh user joins an existing communication channel. Several security protocols using fully trusted third party (TTP) and multi-authority based approaches have been proposed to facilitate reliable distributed networks. These approaches while providing efficient key agreement, have issues such as key escrow and complete rights policy of fully TTP and compulsory user coordination of multi-authority based systems. We propose a novel privacy preserving dynamic new user addition protocol with partially TTP to address fully TTP issues, while achieving efficient scalability to avoid resource wastage in distributed IoT. Formal security analysis is exhibited using a real-or-random model and formal verification under a scyther security verification tool. Finally, we present a performance evaluation to elucidate the utility of our protocol. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5220/0010599508120818 | SECRYPT 2021: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY |
Keywords | DocType | Citations |
Authentication, Anonymity, Security, Scyther, Scalability, Partially Trusted Third Party | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiral S. Trivedi | 1 | 0 | 0.34 |
| Sankita J. Patel | 2 | 0 | 0.34 |