| Title |
A robust smart card and remote user password-based authentication protocol using extended chaotic maps under smart cities environment |
| ID_Doc |
42582 |
| Authors |
Meshram, C; Ibrahim, RW; Deng, LZ; Shende, SW; Meshram, SG; Barve, SK |
| Title |
A robust smart card and remote user password-based authentication protocol using extended chaotic maps under smart cities environment |
| Year |
2021 |
| Published |
Soft Computing, 25, 15 |
| DOI |
10.1007/s00500-021-05929-5 |
| Abstract |
The idea of an internet of things (IoT)-based smart city evolves with the aim of improving the quality of citizens' lives through the practice of data and announcement (such as email, connection, etc.) tools. The idea of smart cities is believed to be feasible through the incorporation of new technologies such as IoT, automation and machine learning in which IoT plays a key role. When billions of slight strategies drive online and start sharing their information, confirmation has already described as a major security issue nearby the IoT. To exacerbate things, as internet technology advances, advanced hacker methods and new forms of threats arise after each other. It is, therefore, necessary to create efficient authentication protocol that is simpler and easier in order to free users from their anxiety and enhance their user experience. Smart card-based key authentication protocols have formed the normal in the latest years, featuring their exceptionally lightweight, easy-to-use equipment and low-cost apps. We proposed an efficient robust authentication protocol using the extended chaotic map in this article. The security of the proposed authentication protocol formally and informally evaluated to demonstrate robustness. Examination of the quality of the proposed authentication protocol has also given sufficient care of demonstrating the possibility of application in real-time requests. |
| Author Keywords |
Mutual authentication; Session key; Smart card; Extended chaotic map; Perfect forward secrecy; Hash function; BAN logic; IoT; Smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000668403400003 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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