Improving Data Confidentiality and Integrity for Data Aggregation in Wireless Sensor Networks
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.1 pp.67-77
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.67
- Type of Manuscript
- Special Section PAPER (Special Section on Trust, Security and Privacy in Computing and Communication Systems)
- Category
- Trust
Authors
Keyword
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Rabindra BISTA, Yong-Ki KIM, Myoung-Seon SONG, Jae-Woo CHANG, "Improving Data Confidentiality and Integrity for Data Aggregation in Wireless Sensor Networks" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 1, pp. 67-77, January 2012, doi: 10.1587/transinf.E95.D.67.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.67/_p
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@ARTICLE{e95-d_1_67,
author={Rabindra BISTA, Yong-Ki KIM, Myoung-Seon SONG, Jae-Woo CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Improving Data Confidentiality and Integrity for Data Aggregation in Wireless Sensor Networks},
year={2012},
volume={E95-D},
number={1},
pages={67-77},
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={},
doi={10.1587/transinf.E95.D.67},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Improving Data Confidentiality and Integrity for Data Aggregation in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Information
SP - 67
EP - 77
AU - Rabindra BISTA
AU - Yong-Ki KIM
AU - Myoung-Seon SONG
AU - Jae-Woo CHANG
PY - 2012
DO - 10.1587/transinf.E95.D.67
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2012
AB - 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.
ER -
English
