Detecting Packet Drop Attacks in Wireless Sensor Networks using Bloom Filter

A malicious adversary may introduce additional nodes in the network or compromise existing ones. Therefore, assuring high data trustworthiness is crucial for correct decision making. Data provenance represents a key factor in evaluating the trustworthiness of sensor data. Provenance management for sensor networks introduces several challenging requirements such as low energy and bandwidth consumption, efficient storage and secure transmission. In this paper, propose a novel light weight scheme to securely transmit provenance for sensor data. The proposed techniques rely on in-packet bloom filters to encode provenance and introduce efficient mechanisms for provenance verification and reconstruction at the base station. Similar prioritized forwarding behavior in the external IP network can be negotiated by UMTS backbone network with DiffServ Code Point marked in packet header. Thus a QoS for VoIP can be modelled within UMTS Backbone network defining differentiated UMTS bearer service to different class of traffics and in external IP network forwarding scheme with differentiated class of traffics with different DSCP points allocated to different data traffics over IP network with significant improvement in End-to-End delay and better MOS though higher traffic load over the network.