LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Keoh, Sye Loong; Tang, Zhaohui (2014)
Languages: English
Types: Other
Subjects:
The integrity and authenticity of the energy usage data in Advanced Metering Infrastructure (AMI) is crucial to ensure the correct energy load to facilitate generation, distribution and customer billing. Any malicious tampering to the data must be detected immediately. This paper introduces secure end-to-end data aggregation for AMI, a security protocol that allows the concentrators to securely aggregate the data collected from the smart meters, while enabling the utility back-end that receives the aggregated data to verify the integrity and data originality. Compromise of concentrators can be detected. The aggregated data is protected using Chameleon Signatures and then forwarded to the utility back-end for verification, accounting, and analysis. Using the Trapdoor Chameleon Hash Function, the smart meters can periodically send an evidence to the utility back-end, by computing an alternative message and a random value (m', r) such that m' consists of all previous energy usage measurements of the smart meter in a specified period of time.\ud By verifying that the Chameleon Hash Value of (m', r) and that the energy usage matches those aggregated by the concentrators, the utility back-end is convinced of the integrity and authenticity of the data from the smart meters. Any data anomaly between smart meters and concentrators can be detected, thus indicating potential compromise of concentrators.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Kaspersky Lab provides its insights on Stuxnet worm, Sept 2010.
    • Wi-SUN Alliance, URL: http://www.wi-sun.org/, 2014. [3] G. Ateniese, D. H. Chou, B. de Medeiros, and G. Tsudik. Sanitizable signatures. In Proceedings of the 10th European Conference on Research in Computer Security, ESORICS'05, pages 159-177, Berlin, Heidelberg, 2005. Springer-Verlag. [4] M. Bellare and G. Neven. Transitive signatures: new schemes and proofs.
    • Information Theory, IEEE Transactions on, 51(6):2133-2151, 2005. [5] D. Boneh, C. Gentry, B. Lynn, and H. Shacham.
    • Aggregate and verifiably encrypted signatures from bilinear maps. In Proceedings of the 22Nd International Conference on Theory and Applications of Cryptographic Techniques, EUROCRYPT'03, pages 416-432, Berlin, Heidelberg, 2003. Springer-Verlag. [6] G. Brassard, D. Chaum, and C. Cre┬┤peau. Minimum disclosure proofs of knowledge. J. Comput. Syst. Sci., 37(2):156-189, Oct. 1988. [7] D. Chaum.
    • Journal of Smart Grid and Clean Energy, September 2012. [13] N. Khurana, M. Hadley, N. L., and D. Frincke.
    • Smart-grid security issues. Security and Privacy, IEEE, 8(1):81-85, 2010. [14] H. Krawczyk and T. Rabin. Chameleon hashing and signatures, 1997. [15] H. Krawczyk and T. Rabin.
    • Chameleon signatures. In NDSS. The Internet Society, 2000. [16] K. Kursawe, G. Danezis, and M. Kohlweiss.
    • Privacy-friendly aggregation for the smart-grid. In Privacy Enhancing Technologies - 11th International Symposium, PETS 2011, Waterloo, ON, Canada, July 27- 29, 2011. Proceedings, pages 175-191. Springer, 2011. [17] R. Langner.
    • To Kill a Centrifuge: A Technical Analysis of What Stuxnet's Creators Tried to Achieve. Technical report, The Langner Group, Nov 2013. [18] F. Li and B. Luo.
    • aggregation. In Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on, pages 366-371, Nov 2012. [19] S. Micali and R. Rivest. Transitive signature schemes. In B. Preneel, editor, Topics in Cryptology CT-RSA 2002, volume 2271 of Lecture Notes in Computer Science, pages 236-243. Springer Berlin Heidelberg, [20] E. Shi, R. Chow, T. h. Hubert Chan, D. Song, and E. Rieffel. Privacypreserving aggregation of time-series data. In Network and Distributed System Security Sympositum (NDSS), 2011. [21] G. N. Sorebo and M. C. Echols. Smart Grid Security: An End-to-End View of Security in the New Electrical Grid. CRC Press, February 2012.
  • No related research data.
  • No similar publications.

Share - Bookmark

Download from

Cite this article