| Title |
A secure authentication technique for connecting different IoT devices in the smart city infrastructure |
| ID_Doc |
37039 |
| Authors |
Sharma, R; Arya, R |
| Title |
A secure authentication technique for connecting different IoT devices in the smart city infrastructure |
| Year |
2022 |
| Published |
Cluster Computing-The Journal Of Networks Software Tools And Applications, 25.0, 4 |
| DOI |
10.1007/s10586-021-03444-8 |
| Abstract |
Recently the IoT technology is widely used in the field of smart cities, smart banking, and smart transportation system, etc. Various sensors can be installed in an open environment which allows users to collect the information in an easy way using the internet of things. However, due to the open environment, it's really difficult to provide security to the communicated information. In this paper, a secure authentication technique is presented for connecting different IoT devices in the smart city infrastructure. This technique shows the legitimacy of IoT sensors (IOi) to the reader (Ri) and Authentication Entity. In this paper, a set of primitives and the cubic equation are used to propose a secure authentication technique. In the proposed technique, an authentication entity is introduced between the IoT sensor and the receiver. The authentication entity will be responsible for performing the authentication process. The proposed authentication technique includes a strong mathematical procedure, which is very complex. The computational cost and Energy cost have also been analyzed and compared with previous techniques. It is providing a secure authentication process for the different IoT sensors, which is useful to start a secure communication with the receiver. The proposed technique offers the best computation and energy cost in comparison with the previous techniques. |
| Author Keywords |
Internet of things; Secure authentication; Security and privacy; Smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000713939300007 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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