Abstract

Wireless Sensors Network (WSN) is a developing technology result from the development of different fields. User authentication in WSN plays an extremely significant role in which legally registered a user is authorized to access real-time sensing information from sensor nodes (SNs) inside WSN. Authentication specifies the process of validating an identity claimed by or for scheme entity. To maintain a network secure, user authentication scheme that permits merely authenticated users to access network services is necessary. Moreover, restricted SNs resources create authentication as a confronting task. Consequently, we anticipate a novel process of security for WSN. Authentication method anticipated in prior works i.e., Multimodal Biometric Authentication System (MMBAS) will be utilized for the secure broadcast of information in WSN. Input for MMBAS is subject’s three biometric aspects like retina, face, and fingerprint. Minutiae characteristic of the retina, face, and fingerprint are mined with the utilization of Local Binary Pattern (LBP) algorithm and then characteristic vectors of these bio-images are merged utilizing XOR function. Afterward merged with feature vector and utilized as the master key in WSZ. Furthermore, recently anticipated principle solves every interlock scenario that may happen when some nodes are waiting indefinitely for the master key to implement a pair wise key method with their neighbours. It attains superior security level in addition to enhanced network performance. Two foremost security features data privacy and data security in WSN can be achieved by utilizing MMBAS.

Paper Details