International Journal of Engineering and Management Research (IJEMR)
  • Year: 2015
  • Volume: 5
  • Issue: 4

A Bandwidth-Efficient Cooperative Authentication Scheme for Filtering Injected False Data in Wireless Sensor Networks

  • Author:
  • Annapurna Jonnalagadda1, B Sujatha2, V V Krishna3
  • Total Page Count: 17
  • Page Number: 290 to 306

1Asst Professor. Chaitanya Group of Institutions, Rajahmundry, India

2HOD, ECE & IT, Godavari Institute of Engineering & Technology, Rajahmundry, India

3Principal, Godavari Institute of Engineering & Technology, Rajahmundry, India

Online published on 21 November, 2017.

Abstract

‘A bandwidth-efficient cooperative authentication (BECAN)’ scheme is one of the efficient method for filtering injected false/unwanted data in Wireless sensor Networks. Injecting false data attack is a well known serious threat to wireless sensor network, for which an antagonist reports spurious information to sink causing error decision at upper level and energy waste in en-route nodes. ‘Sensor node could be easily compromised as the attacker can gain control obtain key values and change the properties of the node. This results in a false report to sink and energy waste in en-route nodes’.

The proposed BECAN scheme can save energy by early detecting and filtering the most of injected false data with less time and difficulty at the en-route nodes. The creation of BULK folder in emails is one of such examples. In addition, only a very small amount of injected false data needs to be checked by the sink, thereby reducing the burden on sink. To filter the false data, the BECAN scheme adopts cooperative neighbor router (CNR)-based filtering mechanism. Hence it achieves not only high filtering probability but also high reliability.

‘Based on the random graph characteristics of sensor node employment and the cooperative bit-compressed authentication technique, the proposed BECAN scheme can save energy by early detecting and filtering the majority of injected false data with minor extra overheads at the en-route nodes. In addition, only a very small fraction of injected false data needs to be checked by the sink, which thus largely reduces the burden of the sink. Both theoretical and simulation results are given to demonstrate the effectiveness of the proposed scheme in terms of high filtering probability and energy saving’. Experimentation done with this paper has yielded satisfactory results based on IEEE research works and found to be implementable.

Keywords

BECAN, Injecting False Data, Wireless Sensor Network, and CNR