Publication Type : Journal Article
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : International Journal of Applied Engineering Research
Source : International Journal of Applied Engineering Research, Volume 10, Issue 20, p.19181-19185 (2015)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942941501&partnerID=40&md5=8c7dde7d7fdc0952d1bd8007e182672b
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Verified : Yes
Year : 2015
Abstract : The advent of Smart Metering has facilitated the knowledge of fine-grained energy-consumption data. The data is transmitted over the internet which is prone to access by an undesired third party. The high resolution data gives information regarding the amount of electricity and the type of appliances used. Smart meters have also become potential surveillance devices that monitor the behavior of the customers. This has paved way for the need for powerful privacy preservation techniques. To ensure security, we introduce a technique of obfuscating the data before transmission by computing the DCT of the signal and adding a chaotic signal to it. The proposed approach is experimented on real household’s power signal data. © Research India Publications.
Cite this Research Publication : M. Aswathi, M. Babu, J., Sowmya, and Dr. Soman K. P., “Smart meter data security based on cosine transform and chaotic theory”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19181-19185, 2015.