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An Improved Approach for Secure Data Aggregation in Wireless Sensor Networks

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Vivaksha J. Jariwala, Sankita J. Patel,

Vivaksha J Jariwala and Sankita Patel J and. Article: An Improved Approach for Secure Data Aggregation in Wireless Sensor Networks. International Journal of Computer Applications 137(9):10-14, March 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Vivaksha J. Jariwala and Sankita J. Patel and},
	title = {Article: An Improved Approach for Secure Data Aggregation in Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {137},
	number = {9},
	pages = {10-14},
	month = {March},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


The Wireless Sensor Networks (WSNs) are composed of sensor nodes that are deployed in remote and hostile environments to sense, process and communicate vital information to the base station. Due to the stringent constraints on the resources in the sensor nodes, it is essential to optimally devise the WSN operational paradigms, to minimize the resource overhead. Since, communications costs always are significantly higher than that for processing the sensed data the WSNs typically, employ in-network processing, so as to minimize effectively, the total number of packets eventually transmitted to the base station. Such in-network processing is largely based on data aggregation operations that aggregate the data into a compact representation viz. a data aggregate for further transmission. However, due to the ubiquitous and pervasive deployment of the sensor nodes, the security concerns in WSNs are anyway critical. Therefore, it is necessary to ensure the security of the data aggregator nodes that depend on various other nodes for the eventual output using carefully designed approaches. In this paper, we investigate various approaches for data aggregation with a view to critically analyze the same and propose a new approach for secure data aggregation.


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Confidentiality, Integrity, Privacy Homomorphism, Data Aggregation, Secure Data Aggregation.