Enhanced Biometric-Based User Authentication Scheme for Wireless Sensor Networks Using Fuzzy Extraction and Elliptic Curve Cryptography
Wireless sensor networks are used to monitor physical and environmental conditions. User authentication is required to achieve consistent access control. However, authenticating a user or sensor in a network is a challenging task owing to the limited resources of the sensor nodes. Therefore, to provide secure and efficient communication, numerous authentication schemes have been designed. Traditional schemes have several security vulnerabilities and significant computational overhead. In this paper, we propose an Enhanced biometric-based user Authentication Scheme using Fuzzy extraction and Elliptic curve cryptography (EBAS-FeEcc) for wireless sensor networks to achieve the high-security level and improve the performance as well as the lifetime of the entire network. The presented technique consists of easy operations and light computations. The analysis shows that previous schemes have various security weaknesses such as a biometric recognition error, user verification problem, lack of anonymity, session key exposure by the gateway node, and perfect forward secrecy. Our proposed technique overcomes these network security issues. Our scheme additionally increases the performance of the network by reducing network traffic, defending sensor networks against DOS attack, and increasing nodes battery life. Therefore, the functionality and performance of the entire network improve.
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