A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks

Security is of a prime importance in Wireless Sensor Networks (WSN). Because of less human intervention and selfmanagement aspects of these types of networks, they are often prone to security threats and vulnerabilities. In such network scenario, we propose genetics based random key distribution scheme for securing clustered WSNs. The algorithm is simulated in MATLAB. The obtained result proves that the proposed method is energy efficient than other widely used cryptographic techniques and using these types of bioinspired intelligences provides robust security in the network.

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