Secure Optimized Routing and Data Transmission in Wireless Sensor Networks with Elliptic Curve Cryptography
International journal of intelligent engineering and systems · 2022
Wireless sensor networking (WSN) is an important subject among the researchers in recent years and it is recognized as a familiar approach for upcoming applications like traffic monitoring in real time, battlefield, and ecosystems for surveillance.The network has receptive data and it is essential that the networks secure the several types of attacks like eavesdropping, capturing the node, rejection of service.Various sensor networks routing approach has been proposed to secure the networks.This work offers a secure routing scheme in WSN with deep learning approaches.Initially, trust verification is performed to select the non-malicious node, which is carried out through long short-term memory (LSTM), where the malicious nodes are removed.Secondly, data transmission is done through encrypting the data using elliptic curve cryptography (ECC) algorithm.This encrypted data is forwarded to the secured shortest paths, in which the secure shortest path is selected by dragonfly algorithm (DA) through solving the multi-objective function by incorporating the measures like distance, energy, delay, throughput, and trust.Evaluation of cost function of the proposed DA-LSTM model is correspondingly secured 22 %, 27 %, 31 %, and 18 % enriched performance than the PSO-LSTM, GWO-LSTM, WOA-LSTM, and CSA-LSTM at iteration 10th.Finally, the numerical simulations show that the suggested secure routing and data transmission in WSN is validated with other optimization algorithms and shows an advanced performance based on analysis with various performance measures by concerning with the number of sensor nodes and the maximum number of iterations.