Fake Sensor Detection and Secure Data Transmission Based on Predictive Parser in WSNs

Abstract

The economic part of farming to India’s Gross Domestic Product is steady refusing with the nation broad-based economical development. Therefore, developing agriculture field is the important factor. To solve this problem we propose precision farming solution using wireless sensor network (WSN) to gain farming production in India. We use WSN as a placement of Camera Sensors in crop field that can be used to monitor the environmental condition, detect the pest, and send the pest details to the corresponding former. The use of pesticides in crop growing is necessary to assert the quality of large-scale product. However, the attacker inserts the fake sensor for destruct the crop field from pests. In WSN, the sensors are equipped with irreplaceable batteries and qualified by limited computing ability. Thus, reducing the sensor energy depletion is an important factor. To overcome these problems we propose fake sensor detection and secure data transmission based on predictive parser in WSNs (FSD-PP). The main goal is the operation of a WSN for early snail pest detection to diminish the use of pesticides in crops and gain more productivity in the cultivation. Here, the predictive parser method is used to check the sensor authentication. Elliptical curve cryptography algorithm is used to remove the eaves dropping attack in the network. The sleep/awake scheduling algorithm is used to save the sensor energy. The simulation result demonstrates that the proposed scheme will enhance the network life span and secure data transmission from sensor to base station in WSN.