The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
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SAINT-W '03 Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT'03 Workshops)
SIA: secure information aggregation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Interleaved hop-by-hop authentication against false data injection attacks in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Energy-efficient secure pattern based data aggregation for wireless sensor networks
Computer Communications
A survey of key predistribution schemes for key management in wireless sensor networks
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Computing Localized Power-Efficient Data Aggregation Trees for Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
IEEE/ACM Transactions on Networking (TON)
Wireless Personal Communications: An International Journal
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IEEE Journal on Selected Areas in Communications
An Energy-Efficient Threshold-Based Clustering Protocol for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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In Wireless Sensor Network (WSN) sensors are densely deployed where the intruders can compromise some sensor nodes and inject false data in order to raise false alarms, reduce network lifetime, utilize bandwidth resources and so on. False Data Injection can possibly occur in Data Aggregation (DA) and Data Forwarding (DF). This paper analyses EFDD Protocol-Early False Data Detection Protocol which addresses the two possibilities in a simple and secure way considering the constraints of sensor nodes. The main idea is the selection of the network structure; this protocol will work effectively in Spatial/Semantic Correlation Tree Structure (SCT). False Data Detection in DA is done using some monitoring nodes which will monitor the Data Aggregator. EFDD in SCT structure reduce the counterfeit data transmission when compared to other structure in a better way. The result shows that EFDD reduce data transmission by dropping false data earlier and it also reduces computation when compared to the existing schemes.