Abstract
The smart grid, next generation electric system, is aimed at installing a system that provides efficient electric supply and demand. The system implemented with AMI (Advanced Metering Infrastructure) system centrally collects electric usage information through bidirectional communication link between customers and service providers. In this communication, the collected real time electric usage data may contain various confidential and privacy information. Therefore, privacy protection becomes one of the biggest issues in smart grid. In this manner, we propose a novel privacy-enhanced AMI system using searchable encryption and homomorphic encryption techniques. The proposed system protects customers’ privacy information and supports real time measuring of electric usage information. Moreover, we verify that proposed AMI system is practical to implement on the existing smart grid environment.
"This research was supported by the KCC(Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency)"(KCA-2012-12-912-06-003)
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References
IEC smart gird standardization roadmap, SG3 (2010)
NIST framework and roadmap for smart grid interoperability standards, release 1.0, NIST (2010)
Research on searchable encryption system, ETRI (2008)
Rivest, R.L., Adleman, L., Dertouzos, M.L.: On data bank and privacy homomorphisms. In: Proceedings of the 19th Annual Symposium on Foundations of Secure Computation - FSC, pp. 169–180. Academic Press (1978)
Paillier, P.: Public-Key Cryptosystems Based on Composite Degree Residuosity Classes. In: Stern, J. (ed.) EUROCRYPT 1999. LNCS, vol. 1592, pp. 223–238. Springer, Heidelberg (1999)
Technical report and view of Homomorphic Encryption, NIPA (2011)
Fontaine, C., Galand, F.: A survey of homomorphic encryption for nonspecialists. Proceedings of EURASIP Journal on Information Security (2007)
Single phase meters & Metering solutions, Elster, http://www.elstersolutions.com/en/single_phase.html
AMI & AMR, Ember, http://www.ember.com/applications_amr.html
CENTRON Residential Meter, Itron, https://www.itron.com/na/productsAndServices/Pages/CENTRON.aspx
Itron OpenWay CENTRON Smart Meter, ARM, http://mobile.arm.com/markets/embedded/15421.php
MAXsys E850 Elite Advanced Metering, Landis+Gyr, http://www.landisgyr.com/na/en/pub/products_na.cfm?eventProducts=products.ProductDetails&ID=249&catID=84
Smart Meter, BYUCKSAN Power, http://www.bspower.co.kr/en/smartmeter.do
Ryu, E.K., Takagi, T.: Efficient Conjunctive Keyword-Searchable Encryption. In: Proceeding of AINAW (2007)
Intrinsic-ID’s AES core Hardware/Software Specification, intrinsic ID, http://www.intrinsic-id.com/aes.htm
Varchola, M.: FPGA Based True Random Number Generators for Embedded Cryptographic Applications, Technical University of Kosice (2009)
Benchmark with ARM Cortex-M0, Real Time Logic, http://sharkssl.com/benchmark/Cortex-M0/
Guide for using cryptography algorism and key length, KISA (2010)
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Lee, C., Yang, H., Lee, B., Won, D. (2012). A Novel Privacy-Enhanced AMI System Using Searchable and Homomorphic Encryption Techniques. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_76
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DOI: https://doi.org/10.1007/978-3-642-32645-5_76
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