Assured Scheme for Investigating Provenance Falsification & Packet loss Attacks in Wireless Sensor Networks

Numerous application domains deploy large scale sensor networks and the data they sense are used in critical infrastructure for decision making. The data packet travel from source node along intermediate nodes to destination where aggregation is done for the original message. So while the data packets are travelling through the specified network there may be chances of malicious adversary introducing additional fake nodes to the existing network to track the information or it may compromise the network to get information. Therefore, assuring high data trustworthiness is crucial for correct decision-making. Data provenance represents a key factor in evaluating the trustworthiness of sensor data. The challenging requirements of provenance management for sensor networks are low energy and bandwidth consumption, efficient storage and secure transmission. In this paper, a novel assured scheme is proposed to securely transmit provenance for sensor data. The proposed technique relies on in-packet Bloom filters to encode provenance. Introducing the efficient mechanisms for provenance verification at each node will guarantee us in preserving the provenance falsification by investigation. Another feature concentrated here is packet drop attacks staged by malicious data forwarding nodes. Evaluation of the results prove effectiveness and efficiency of assured scheme for investigating provenance falsification & packet loss attacks in wireless sensor networks.