Detecting Packet Drop Attacks in Wireless Sensor Networks using Bloom Filter

Authors(2) :-R. Abish, D. Stalin David

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.

Authors and Affiliations

R. Abish
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli, Tamilnadu, India
D. Stalin David
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli, Tamilnadu, India

long tail problem, Core Network Bearer, Radio access Bearer, Bloom filter

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 730-735
Manuscript Number : CSEIT1722152
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

R. Abish, D. Stalin David, "Detecting Packet Drop Attacks in Wireless Sensor Networks using Bloom Filter", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.730-735, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722152

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