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A comparative analysis of node replica detection schemes in wireless sensor networks
- Source :
- Journal of Network and Computer Applications. 61:21-32
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Wireless sensor networks are exposed to various kinds of security threat. The node replication attack is application-independent and can be launched by an adversary just by capturing a single sensor from the network. The post-capture impact of this attack is serious as an adversary can launch various insider attacks with the help of replicas that are deployed in the network. Counter-measures for node replication attack have drawn the attention of many researchers in this field. The first step towards handling a node replication attack is to detect the existence of replicas and remove them from the network. A number of replica detection schemes have been proposed in the literature. However, only a few survey articles exist based on replica detection schemes. Most of these survey lacks comparative analysis on the existing schemes, and are limited only to a few referred schemes. In this paper, we have classified the existing replica detection schemes considering a higher number of parameters than the existing schemes, and highlighted advantages and disadvantages of the contributions. A detailed comparative analysis of the existing schemes are made based on their communication cost, message overhead, storage requirement, and number of replica detectors per node. We have simulated a few mostly referred detection schemes using Castalia and analysed their performance in terms of detection probability, average number of packets sent/received, detection time, and energy consumption.
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
Network packet
Replica
Node (networking)
Data_MISCELLANEOUS
020206 networking & telecommunications
02 engineering and technology
Energy consumption
Replication (computing)
Computer Science Applications
Hardware and Architecture
Castalia
0202 electrical engineering, electronic engineering, information engineering
Overhead (computing)
020201 artificial intelligence & image processing
business
Wireless sensor network
Computer network
Subjects
Details
- ISSN :
- 10848045
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Journal of Network and Computer Applications
- Accession number :
- edsair.doi...........bf4c007c7964f9dd169fc28dd0d5fb73
- Full Text :
- https://doi.org/10.1016/j.jnca.2015.12.001