1BBUCAF: A Biometric-Based User Clustering Authentication Framework in Wireless Sensor Network

Rinesh, S.1*, Thamaraiselvi, K.2, Mahdi Ismael Omar1 and Abdulfetah Abdulahi Ahmed1

1 Department of Computer Science, Jigjiga University, Jijiga, Ethiopia

2 Department of Computer Science, Malla Reddy College of Engineering, Hyderabad, Telangana, India

Abstract

Wireless Sensor Networks (WSN) have made much progress in the last few years, so data transmission must be more secure. Cryptographic keys keep information private, authenticate people, and keep data safe. Several research projects were done to interact with important management issues in WSNs. Prime statistics are used to make collective keys. It would then be able to accurately check the security of nodes. A new network way is modeled for sending data between nodes without restriction. A strong authentication system is needed to maintain network safety and allow people to use a network service freely. But the limited supplies of sensor nodes make it tough to authenticate people. To overcome the security-based issues, a biometric-based user clustering authentication framework (BBUCAF) has been introduced to increase the level of security and the network’s speed among the nodes. A biometric-based model is created by taking features from the fingerprint. Securely, feature vectors create a private key for the user. Such a key is sent to every sensor node. Then, private keys between sensor nodes are made by combining a randomly ...

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