Abstract
Efficient power management is vital for increasing the life of sensor nodes in wireless sensor networks (WSN). Thus, techniques such as data aggregation have been widely used in WSN to preserve nodes' energy. Despite its appealing and powerful features, data aggregation processes require a high level of security. Ensuring accuracy with aggregating data can become an issue even due to single bit errors. Hence, many encryption techniques have been proposed to secure the data aggregation process. However, once a wireless sensor is physically compromised, the keys stored on the sensor are exposed, thus rendering the cryptography useless. Moreover, most cryptographic approaches restrict the level of collaboration with other security measures - especially trust management, where behavior observation is vital. in this paper, we propose a trust management approach on encrypted packets to deal with the faulty nodes in sensor networks. We designed a collaborative framework which incorporates the Order-Preserved Encryption Scheme [2] and Sigmoid Trust Management approaches. We then discuss how these two can coexist and comprehensively evaluate an integrated OPES-trust management scheme in the sensing environment using both the TOSSim simulator and an actual mote implementation. the results have shown that trust management and OPES cryptography does not consume more energy than radio transmission yet provides a fairly accurate result. © 2012 IEEE.
Recommended Citation
N. Poolsappasit et al., "Trust Management of Encrypted Data Aggregation in a Sensor Network Environment," Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012, pp. 157 - 166, article no. 6341386, Institute of Electrical and Electronics Engineers, Dec 2012.
The definitive version is available at https://doi.org/10.1109/MDM.2012.57
Department(s)
Computer Science
International Standard Book Number (ISBN)
978-076954713-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
13 Dec 2012