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Privacy-Enhanced Data Collection Scheme for Smart-Metering

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Information Security and Cryptology (Inscrypt 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9589))

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Abstract

New types of devices, such as smart-meters, wearables and home appliances, have been connected to the Internet recently. Data they send is usually very privacy sensitive, containing personal information about, e.g., household consumption, health status or behavior profiles of family members. In this paper, we propose a cryptographic scheme for the protection of data collection systems that is secure (in the sense of data authenticity and integrity) and privacy-friendly at the same time. This functionality is achieved by designing a novel group signature that provides signature anonymity, unlinkability and untraceability while retaining features for malicious user identification. Besides the full cryptographic specification, we also provide implementation results that confirm the computational efficiency of the scheme allowing easy deployment on existing devices.

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Notes

  1. 1.

    RA’s key contribution is necessary to prevent malicious users from submitting malformed keys allowing attacks on RA’s secrets.

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Acknowledgments

Research described in this paper was financed by the National Sustainability Program under grant LO1401, the Czech Science Foundation under grant no. 14-25298P “Research into cryptographic primitives for secure authentication and digital identity protection” and by Technology Agency of the Czech Republic project TA04010476 “Secure Systems for Electronic Services User Verification”. For the research, infrastructure of the SIX Center was used.

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Authors and Affiliations

  1. Department of Telecommunications, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic

    Jan Hajny, Petr Dzurenda & Lukas Malina

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  1. Jan Hajny
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  2. Petr Dzurenda
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  3. Lukas Malina
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Correspondence to Jan Hajny .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, SKLOIS Institute of Engineering, Beijing, China

    Dongdai Lin

  2. Center for Security Informatics, Indiana University at Bloomington, Indiana, USA

    XiaoFeng Wang

  3. Computer Science, Columbia University, New York, New York, USA

    Moti Yung

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Hajny, J., Dzurenda, P., Malina, L. (2016). Privacy-Enhanced Data Collection Scheme for Smart-Metering. In: Lin, D., Wang, X., Yung, M. (eds) Information Security and Cryptology. Inscrypt 2015. Lecture Notes in Computer Science(), vol 9589. Springer, Cham. https://doi.org/10.1007/978-3-319-38898-4_24

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  • DOI: https://doi.org/10.1007/978-3-319-38898-4_24

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