Paper Info
Title
Fuzzy-Based Detection of Injected False Data in Wireless Sensor Networks.
Abstract
Wireless sensor networks are vulnerable to false data injection attacks in which an adversary injects fabricated reports into the network with the goal of deceiving the base station or of draining the energy resources. Several security solutions against the attacks have been proposed by researchers. Most of them, however, make nodes to involve additional computation and communication overhead in the report generation and forwarding processes, which may result in extra energy consumption. This paper presents a false data detection method that exploits a fuzzy rule-based system to verify the authenticity of sensing reports in sensor networks. Three parameters computed based on the collected reports in the base station are used for the verification. Compared to the existing crisp-based detection solutions, the method can reduce errors in the detection, thanks to approximate reasoning provided by fuzzy logic. Compared to the en-route filtering solutions, extra energy can be also conserved since it involves neither complex report generation nor en-route verification.
Year
DOI
Venue
2010
10.1007/978-3-642-13365-7_13
Communications in Computer and Information Science
Keywords
Field
DocType
Wireless sensor networks,false data injection attack,attack detection,fuzzy logic,network security
Key distribution in wireless sensor networks,Base station,Computer science,Fuzzy logic,Network security,Computer network,Electronic engineering,Real-time computing,Mobile wireless sensor network,Wireless sensor network,Energy consumption,Fuzzy rule
Conference
Volume
ISSN
Citations 
76
1865-0929
2
PageRank 
References 
Authors
0.37
10
3
Name
Order
Citations
PageRank
Hae Young Lee18614.93
Tae Ho Cho215926.82
Hyung-Jong Kim327827.13