A Novel Hybridized Cryptographic Genetic Algorithm with Opportunistic Routing for Secured Data Transmission in Wireless Sensor Networks

A wireless sensor network comprises decentralized nodes whereas it transmit data via radio signals. During data transmission, sensors faces resource limitations due to data security risks such as data breaches and malware attacks. To overcome the limitation in WSN a proposed security management with a new hybridized Cryptographic Genetic Algorithm with Opportunistic Routing for secured data transmission is implemented. The Blackhole attack, Sybil Attack, and Helo flood Attack have been prevented with the proposed work with improved. Accuracy. First, the sensors find its location with minimal distance with the help of opportunistic Routing protocol before transmitting the data. After finding the shortest path it generates chipertext using a key generation algorithm for secured data transmission whereas the sender node and receiver node use an authentication verification mechanism along with sensor ID, User ID, and authentication ID for a legitimate user to access the channel in sensor node and evaluate the performance. The proposed algorithm shows the simulated result with an existing methodology such as encrypting time complexity with 92% decrypting time complexity with 92% Packet Delivery Ratio with 84% and network stability with 89% less computational complexity.