A New SecureAnd Efficient Schema For Avoiding Packet Drops And Delay In Wireless Sensor Networks

Abstract

The numerous applications should work in Large-scale sensor networks domains. The data collected from wireless sensor network are used in making decisions in critical infrastructures. Data’s are originated from multiple sources and transmitted through intermediate processing nodes. Those nodes perform the aggregation on information. An attacker compromise those type of networks by introducing additional nodes in the network or compromising the existing nodes. So achieving the high data trustworthiness is crucial for correct decision-making. While evaluating the trustworthiness of sensor data provenance is an important factor. The several challenging requirements for provenance management in sensor networks are low energy and low bandwidth consumption, competent storage and secure transmission. This survey proposes a new lightweight scheme in order to securely transmit provenance with sensor data. The proposed in-packet Bloom filters techniques used to encode provenance with the sensor data. This mechanism initially performs provenance at the base station then perform reconstruction of the data at the base station. In addition to this the provenance scheme functionality used to detect packet drop attacks organized by malicious data forwarding nodes. This survey describes the effectiveness and efficiency of the Light weight secure provenance scheme in detecting packet forgery and packet loss attacks..