| Title |
A robust biometrics based three-factor authentication scheme for Global Mobility Networks in smart city |
| ID_Doc |
45809 |
| Authors |
Li, X; Niu, JW; Kumari, S; Wu, F; Choo, KKR |
| Title |
A robust biometrics based three-factor authentication scheme for Global Mobility Networks in smart city |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/j.future.2017.04.012 |
| Abstract |
Smart city is a development tendency of future city, which improves almost all aspects of quality of urban residents' life by adopting Information and Communication Technology. In smart city, people can interact directly with the community and the infrastructure at anytime and anywhere, where GLObal MObility NETwork (GLOMONET) is an important network infrastructure for smart city. Recently, Gope and Hwang proposed an efficient authentication scheme for GLOMONET. However, we find their scheme lacks session key update and wrong password detection mechanisms, and vulnerable to denial-of-service attack. Besides, the session key can be known by HA (home agent), and perfect forward secrecy cannot be ensured. Furthermore, in their scheme, HA has to take heavy secret key management work. Based on previous work, this paper first summarizes the security and function requirements of authentication for GLOMONET in smart city environment. Later, this paper proposed a robust biometrics based three-factor authentication scheme for GLOMONET in smart city. Security features of the proposed scheme are analyzed in detail, and comparisons of our scheme with other related schemes are illustrated. Analysis and comparison results show that our scheme meets the preconcerted security requirements of authentication for GLOMONET in smart city environment, and it is robust for GLOMONET in smart city environments with higher security requirements. (C) 2017 Elsevier B.V. All rights reserved. |
| Author Keywords |
GLObal MObile NETwork (GLOMONET); Smart city; Authentication; User anonymous; Biometrics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000428833500055 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
|