A New Sensitive Data Aggregation Scheme for Protecting Data Integrity in Wireless Sensor Network
Since wireless sensor networks (WSNs) are resources-constrained, it is very essential to gather data efficiently from the WSNs so that their life can be prolonged. Data aggregation can conserve a significant amount of energy by minimizing transmission cos
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Abstract Since wireless sensor networks (WSNs) are resources-constrained, it is very essential to gather data efficiently from the WSNs so that their life can be prolonged. Data aggregation can conserve a significant amount of energy by minimizing transmission cost in terms of the number of data packets. Many applications require privacy and integrity protection of the sampled data while they travel from the source sensor nodes to a data collecting device, say a query server. However, the existing schemes suffer from high communication cost, high computation cost and data propagation delay. To resolve the problems, in this paper, we propose a new and efficient integrity protecting sensitive data aggregation scheme for WSNs. Our scheme makes use of the additive property of complex numbers to achieve sensitive data aggregation with protecting data integrity. With simulation results, we show that our scheme is much more efficient in terms of both communication and computation overheads, integrity checking and data propagation delay than the existing schemes for protecting integrity and privacy preserving data aggregation in WSNs. Keywords Sensor network Signature
Data aggregation
Integrity
Data privacy
M. Yoon M. Jang H. Kim J. Chang (&) Deptartment of Computer Engineering, Chonbuk National University, Jeonju, Republic of Korea e-mail: [email protected] M. Yoon e-mail: [email protected] M. Jang e-mail: [email protected] H. Kim e-mail: [email protected]
J. J. (Jong Hyuk) Park et al. (eds.), Multimedia and Ubiquitous Engineering, Lecture Notes in Electrical Engineering 240, DOI: 10.1007/978-94-007-6738-6_35, Ó Springer Science+Business Media Dordrecht(Outside the USA) 2013
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1 Introduction Recently, due to the advanced technologies of mobile devices and wireless communication, wireless sensor networks (WSNs) have increasingly attracted much interest from both industry and research. Since a sensor node has limited resources (i.e., battery and memory capacity), data aggregation techniques have been proposed for WSNs [1]. Another issue of WSNs is how to preserve sensitive measurements of everyday life where data privacy becomes an important aspect. In many scenarios, confidentiality of transported data can be considered critical, for instance, data from sensors might measure patients’ health information such as heartbeat and blood pressure details. So, maintaining data privacy of a sensor node even from other trusted participating sensor nodes of the WSN is critical issue [2]. Although the existing data aggregation schemes have been proposed to preserve data privacy, they have the following limitations. First, the communication cost for network construction and data aggregation and data integrity is considerably expensive. Secondly, the existing schemes do not support data integrity due to communication loss. However, since the existing privacy-preserving schemes do not support privacy preservation and integrity protection simultaneously, it is required to carefully des
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