Secure Data Communication in Wireless Sensor Networks Using Discriminative Weighted Emphasis boost Merkle–Hellman knapsack Certificate less Signcryption

Abstract

Wireless Sensor Networks (WSN) have been applied to a wider application for data gathering and data transmission by the number of sensor nodes. It has restricted battery power, resources, and computational power. Due to all these factors, WSN is susceptible to various attacks which are caused by a malicious node. Therefore a novel technique Discriminative Weighted Emphasis boost Merkle–Hellman knapsack Certificateless Signcryption (DWEBMKCS)  is introduced for improving data communication safety in WSN. It consists of two major processes. First, for detecting the black hole and grey hole attacks, Otsuka-Ochiai Generalized Discriminative Weighted Emphasis boosting is employed. Next, Merkle–Hellman knapsack Certificateless Signcryption technique is used to achieve secure data transmission which includes three main processes namely time-synchronized Key-pair generation, signcryption, and unsigncryption. The performance of the DWEBMKCS is analyzed in terms of attack detection accuracy, data packet delivery, false positive and an end-to-end delay. An existing method such as Sequential Based Search and Light gradient boost (SLGBM), flexible, and lightweight encryption method called (FlexCrypt) are used to compare the proposed DWEBMKCS method. Thus the result shows higher attack detection accuracy, and fewer false positive rate by 94% and 6% for 500 nodes better performance than SLGBM, FlexCrypt., DA-LSTM. The data packet delivery is increased and the packet loss rate, end-to-end delay are minimized by 90%, 10%, and 23 ms for concerning the 250 number of sensor nodes when compared to the SLGBM, FlexCrypt, DALSTM.