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Sensors 2010, 10(4), 2770-2792; doi:10.3390/s100402770

Acquiring Authentic Data in Unattended Wireless Sensor Networks

1
Institute of Information Science, Academia Sinica, Taipei, Taiwan
2
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
3
Department of Electrical Engineering, National Dong Hwa University, Hualian, Taiwan
4
Department of Electronic Engineering and Institute of Computer Science & Information Engineering, National Ilan University, I-Lan, Taiwan
*
Author to whom correspondence should be addressed.
Received: 10 February 2010 / Revised: 25 February 2010 / Accepted: 16 March 2010 / Published: 26 March 2010
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Abstract

An Unattended Wireless Sensor Network (UWSN) can be used in many applications to collect valuable data. Nevertheless, due to the unattended nature, the sensors could be compromised and the sensor readings would be maliciously altered so that the sink accepts the falsified sensor readings. Unfortunately, few attentions have been given to this authentication problem. Moreover, existing methods suffer from different kinds of DoS attacks such as Path-Based DoS (PDoS) and False Endorsement-based DoS (FEDoS) attacks. In this paper, a scheme, called AAD, is proposed to Acquire Authentic Data in UWSNs. We exploit the collaboration among sensors to address the authentication problem. With the proper design of the collaboration mechanism, AAD has superior resilience against sensor compromises, PDoS attack, and FEDoS attack. In addition, compared with prior works, AAD also has relatively low energy consumption. In particular, according to our simulation, in a network with 1, 000 sensors, the energy consumed by AAD is lower than 30% of that consumed by the existing method, ExCo. The analysis and simulation are also conducted to demonstrate the superiority of the proposed AAD scheme over the existing methods. View Full-Text
Keywords: unattended wireless sensor network; UWSN; authentication unattended wireless sensor network; UWSN; authentication
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Yu, C.-M.; Chen, C.-Y.; Lu, C.-S.; Kuo, S.-Y.; Chao, H.-C. Acquiring Authentic Data in Unattended Wireless Sensor Networks. Sensors 2010, 10, 2770-2792.

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