Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
International Journal of Information Security
Erschienen in: International Journal of Information Security 1/2018

28.11.2016 | Regular Contribution

Privacy-preserving smart metering revisited

verfasst von: Alfredo Rial, George Danezis, Markulf Kohlweiss

Erschienen in: International Journal of Information Security | Ausgabe 1/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Privacy-preserving billing protocols are useful in settings where a meter measures user consumption of some service, such as smart metering of utility consumption, pay-as-you-drive insurance and electronic toll collection. In such settings, service providers apply fine-grained tariff policies that require meters to provide a detailed account of user consumption. The protocols allow the user to pay to the service provider without revealing the user’s consumption measurements. Our contribution is twofold. First, we propose a general model where a meter can output meter readings to multiple users, and where a user receives meter readings from multiple meters. Unlike previous schemes, our model accommodates a wider variety of smart metering applications. Second, we describe a protocol based on polynomial commitments that improves the efficiency of previous protocols for tariff policies that employ splines to compute the price due.
Nächster Artikel Secure pay-TV for chained hotels

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Fußnoten
Literatur
1.
Acs, G., Castelluccia, C.: I have a dream!(differentially private smart metering). In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) Information hiding, pp. 118–132. Springer, Berlin, Heidelberg (2011)
2.
Anderson, R., Fuloria, S.: On the security economics of electricity metering. In: 9th Annual workshop on the economics of information security, WEIS 2010, Harvard University, Cambridge, MA, USA, 7–8 June 2010
3.
Balasch, J., Rial, A., Troncoso, C., Preneel, B., Verbauwhede, I., Geuens, C.: Pretp: Privacy-preserving electronic toll pricing. In: USENIX Security Symposium, pp. 63–78. USENIX Association (2010)
4.
Barthe, G., Danezis, G., Grégoire, B., Kunz, C., Zanella-Béguelin, S.: Verified computational differential privacy with applications to smart metering. In: 2013 IEEE 26th Computer Security Foundations Symposium (CSF), pp. 287–301. IEEE (2013)
5.
Biswas, D., Niemi, V.: Transforming privacy policies to auditing specifications. In: 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering (HASE), pp. 368–375. IEEE (2011)
6.
Bohli, J.M., Sorge, C., Ugus, O.: A privacy model for smart metering. In: 2010 IEEE International Conference on Communications Workshops (ICC), pp. 1–5. IEEE (2010)
7.
Bordoff, J., Noel, P.: Pay-as-you-drive Auto Insurance: A Simple Way to Reduce Driving-Related Harms and Increase Equity. Hamilton Project Discussion Paper (2008)
8.
9.
Canetti, R.: Universally composable security: a new paradigm for cryptographic protocols. In: FOCS, pp. 136–145. IEEE Computer Society (2001)
10.
Canetti, R.: Universally composable signature, certification, and authentication. In: 2004 Proceedings of the 17th IEEE Computer Security Foundations Workshop, pp. 219–233. IEEE (2004)
11.
12.
Damgård, I., Faust, S., Hazay, C.: Secure two-party computation with low communication. In: Cramer, R. (ed.) Theory of cryptography, pp. 54–74. Springer, Berlin, Heidelberg (2012)
13.
Damgård, I., Pastro, V., Smart, N., Zakarias, S.: Multiparty computation from somewhat homomorphic encryption. In: Safavi-Naini, R., Canetti, R. (eds.) Advances in cryptology-CRYPTO 2012, pp. 643–662. Springer, Berlin, Heidelberg (2012)
14.
Danezis, G., Fournet, C., Kohlweiss, M., Zanella-Béguelin, S.: Smart meter aggregation via secret-sharing. In: Proceedings of the First ACM Workshop on Smart Energy Grid Security, pp. 75–80. ACM (2013)
15.
Danezis, G., Kohlweiss, M., Rial, A.: Differentially private billing with rebates. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) Information hiding, pp. 148–162. Springer, Berlin, Heidelberg (2011)
16.
Efthymiou, C., Kalogridis, G.: Smart grid privacy via anonymization of smart metering data. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 238–243. IEEE (2010)
17.
Fournet, C., Kohlweiss, M., Danezis, G., Luo, Z.: Zql: a compiler for privacy-preserving data processing. In: 22nd USENIX Security Symposium (USENIX Security 13), Washington, DC, pp. 163–178 (2013)
18.
Freudiger, J., Shokri, R., Hubaux, J.P.: Evaluating the privacy risk of location-based services. In: Blythe, J. (ed.) Financial cryptography and data security, pp. 31–46. Springer, Berlin, Heidelberg (2012)
19.
Garcia, F.D., Jacobs, B.: Privacy-friendly energy-metering via homomorphic encryption. In: Cuellar. J., Lopez, J., Barthe, G., Pretschner. A. (eds.) Security and trust management, pp. 226–238. Springer, Berlin, Heidelberg (2011)
20.
Gennaro, R., Gentry, C., Parno, B.: Non-interactive verifiable computing: Outsourcing computation to untrusted workers. In: Rabin, T. (ed.) Advances in cryptology–CRYPTO 2010, pp. 465–482. Springer, Berlin, Heidelberg (2010)
21.
Goldwasser, S., Micali, S., Rivest, R.: A digital signature scheme secure against adaptive chosen-message attacks. SIAM J. Comput. 17(2), 281–308 (1988)MathSciNetCrossRefMATH
22.
Goldwasser, S., Micali, S., Wigderson, A.: How to play any mental game, or a completeness theorem for protocols with an honest majority. In: Proceedings of the Nienteenth Annual ACM STOC, vol. 87, pp. 218–229 (1987)
23.
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G.P.: Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inform. 7(4), 529–539 (2011)CrossRef
24.
Hensher, D.A.: Electronic toll collection. Transp. Res. A: Gen. 25(1), 9–16 (1991)CrossRef
25.
Ishai, Y., Kushilevitz, E., Ostrovsky, R., Prabhakaran, M., Sahai, A.: Efficient non-interactive secure computation. In: Paterson, K.G. (ed.) Advances in Cryptology–EUROCRYPT 2011, pp. 406–425. Springer, Berlin, Heidelberg (2011)
26.
Ishai, Y., Prabhakaran, M., Sahai, A.: Founding cryptography on oblivious transfer—efficiently. In: Wagner, D. (ed.) Advances in Cryptology–CRYPTO 2008, pp. 572–591. Springer, Berlin, Heidelberg (2008)
27.
Kalogridis, G., Efthymiou, C., Denic, S.Z., Lewis, T.A., Cepeda, R.: Privacy for smart meters: towards undetectable appliance load signatures. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 232–237. IEEE (2010)
28.
Kamara, S., Mohassel, P., Riva, B.: Salus: a system for server-aided secure function evaluation. In: Proceedings of the 2012 ACM conference on Computer and communications security, pp. 797–808. ACM (2012)
29.
Kate, A., Zaverucha, G.M., Goldberg, I.: Constant-size commitments to polynomials and their applications. In: Abe, M. (ed.) ASIACRYPT, Lecture Notes in Computer Science, vol. 6477, pp. 177–194. Springer, New York (2010)
30.
Krumm, J.: Inference attacks on location tracks. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds.) Pervasive computing, pp. 127–143. Springer, Berlin, Heidelberg (2007)
31.
Kumari, P., Kelbert, F., Pretschner, A.: Data protection in heterogeneous distributed systems: a smart meter example. In: Proceedings of dependable software for critical infrastructures, Berlin, 6 October 2011
32.
Kursawe, K., Danezis, G., Kohlweiss, M.: Privacy-friendly aggregation for the smart-grid. In: Fischer–Hübner, S., Hopper, N. (eds.) Privacy enhancing technologies, pp. 175–191. Springer, Berlin, Heidelberg (2011)
33.
Lepinksi, M., Micali, S., et al.: Collusion-free protocols. In: Proceedings of the thirty-seventh annual ACM symposium on Theory of computing, pp. 543–552. ACM (2005)
34.
Lindell, Y., Pinkas, B.: Secure two-party computation via cut-and-choose oblivious transfer. J. Cryptol. 25(4), 680–722 (2012)MathSciNetCrossRefMATH
35.
36.
Massoud Amin, S., Wollenberg, B.F.: Toward a smart grid: power delivery for the 21st century. IEEE Power Energy Mag. 3(5), 34–41 (2005)CrossRef
37.
Meiklejohn, S., Mowery, K., Checkoway, S., Shacham, H.: The phantom tollbooth: Privacy-preserving electronic toll collection in the presence of driver collusion. In: USENIX Security Symposium, vol. 201 (2011)
38.
Nguyen, D.H., Mynatt, E.D.: Privacy mirrors: understanding and shaping socio-technical ubiquitous computing systems (2002)
39.
Nielsen, J.B., Orlandi, C.: Technical report, Georgia Institute of Technology
40.
Ogden, K.: Privacy issues in electronic toll collection. Transp. Res. C: Emerg. Technol. 9(2), 123–134 (2001)CrossRef
41.
Parno, B., Howell, J., Gentry, C., Raykova, M.: Pinocchio: Nearly practical verifiable computation. In: 2013 IEEE Symposium on Security and Privacy (SP), pp. 238–252. IEEE (2013)
42.
Parno, B., Raykova, M., Vaikuntanathan, V.: How to delegate and verify in public: verifiable computation from attribute-based encryption. In: Cramer, R. (ed.) Theory of cryptography, pp. 422–439. Springer, Berlin, Heidelberg (2012)
43.
Popa, R.A., Balakrishnan, H., Blumberg, A.J.: Vpriv: Protecting privacy in location-based vehicular services. In: USENIX Security Symposium, pp. 335–350 (2009)
44.
Quinn, E.L.: Privacy and the new energy infrastructure. Available at SSRN 1370731 (2009)
45.
46.
Rajagopalan, S.R., Sankar, L., Mohajer, S., Poor, H.V.: Smart meter privacy: A utility-privacy framework. In: 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 190–195. IEEE (2011)
47.
Rial, A., Danezis, G.: Privacy-preserving smart metering. In: Chen, Y., Vaidya, J. (eds.) WPES, pp. 49–60. ACM, New york (2011)
48.
Thoma, C., Cui, T., Franchetti, F.: Secure multiparty computation based privacy preserving smart metering system. In: 2012 North American Power Symposium (NAPS), pp. 1–6. IEEE (2012)
49.
Troncoso, C., Danezis, G., Kosta, E., Preneel, B.: Pripayd: privacy friendly pay-as-you-drive insurance. In: Ning, P., Yu, T. (eds.) WPES, pp. 99–107. ACM, New York (2007)
50.
Varodayan, D., Khisti, A.: Smart meter privacy using a rechargeable battery: minimizing the rate of information leakage. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1932–1935. IEEE (2011)
51.
Wang, S., Cui, L., Que, J., Choi, D.H., Jiang, X., Cheng, S., Xie, L.: A randomized response model for privacy preserving smart metering. IEEE Trans. Smart Grid 3(3), 1317–1324 (2012)
52.
Yao, A.C.C.: How to generate and exchange secrets. In: 1986 27th Annual Symposium on Foundations of Computer Science, pp. 162–167. IEEE (1986)
Metadaten
Titel
Privacy-preserving smart metering revisited
verfasst von
Alfredo Rial
George Danezis
Markulf Kohlweiss
Publikationsdatum
28.11.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Information Security / Ausgabe 1/2018
Print ISSN: 1615-5262
Elektronische ISSN: 1615-5270
DOI
https://doi.org/10.1007/s10207-016-0355-8

Weitere Artikel der Ausgabe 1/2018

International Journal of Information Security 1/2018 Zur Ausgabe

Regular Contribution

Black-box detection of XQuery injection and parameter tampering vulnerabilities in web applications

Regular Contribution

Formal modeling of random oracle programmability and verification of signature unforgeability using task-PIOAs

Regular Contribution

Generalized Elias schemes for efficient harvesting of truly random bits

Regular Contribution

Secure pay-TV for chained hotels

Regular Contribution

Achieving dynamicity in security policies enforcement using aspects