Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on De-Identification of Metering Data for Smart Grid Personal Security in Cloud Environment

  • Lee, Donghyeok (Elementary Education Research Institute, Jeju National University) ;
  • Park, Namje (Department of Computer Education, Teachers College, Jeju National University)
  • Received : 2017.12.21
  • Accepted : 2017.12.25
  • Published : 2017.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.

Keywords

References

  1. M. Shargal and D. Houseman, "The Big Picture of Your Coming Smart Grid", Smart Grid News, 2009.
  2. Rusitschka, Sebnem, Kolja Eger, and Christoph Gerdes. "Smart grid data cloud: A model for utilizing cloud computing in the smart grid domain," Smart Grid Communications (SmartGrid Comm), 2010 First IEEE International Conference on. IEEE, 2010.
  3. NIST, "Guidelines for Smart Grid Cybersecurity, Volume 2 - Privacy and the Smart Grid," U.S. Department of Commerce, pp. 291-473, Sep. 2014.
  4. Namje Park, Jin Kwak, Seungjoo Kim, Dongho Won, and Howon Kim, "WIPI Mobile Platform with Secure Service for Mobile RFID Network Environment," LNCS, Advanced Web and Network Technologies and Applications, 3842, pp.741-48, Jan. 2006.
  5. E. L. Quinn, "Privacy and the New Energy Infrastructure," Social Science Research Network (SSRN), Feb. 2009.
  6. Namje Park, Hongxin Hu, Qun Jin, "Security and Privacy Mechanisms for Sensor Middleware and Application in Internet of Things (IoT)", International Journal of Distributed Sensor Networks, vol.2016, 2016.
  7. Dongkook Kim and Hyeok Lee, "Personal Information De-Idenification Trends based on Big Data," Review of Korean Society for Internet Information, vol.16, no.2, pp.15-22, Dec. 2015.
  8. Namje Park and Hyo Chan Bang, "Mobile middleware platform for secure vessel traffic system in IoT service environment," Security and Communication Networks, vol.9, no.6, pp. 500-512, Apr. 2016. https://doi.org/10.1002/sec.1108
  9. Donghyeok Lee and Namje Park, "A Study on Metering Data De-identification Method for Smart Grid Privacy Protection," Journal of the Korea Institute of Information Security & Cryptology, vol.26, no.6, Dec. 2016.
  10. Dan Keun Sung, Nah-Oak Song, Kab Seok Ko, Jiyoung Cha, Kuk Yeol Bae and Hanseung Jang, "Convergence of Power System Technology and Information Communication Technology in Smart Grid," Communications of The Korea Information Science Society, vol.31, no.3, pp.10-21, Mar. 2013.
  11. Namje Park, "UHF/HF Dual-Band Integrated Mobile RFID/NFC Linkage Method for Mobile Device-based Business Application", Journal of KICS, vol.38, no.10, pp. 841-851, Oct. 2013.
  12. Daeseon Choi and Younho Lee, "Privacy Protection Technology for Public Information Open & Sharing," Journal of KIISE : Computer Systems and Theory vol.41, no.3, pp.109-115, Jun. 2014.
  13. Namje Park and Marie Kim, "Implementation of load management application system using smart grid privacy policy in energy management service environment," Cluster Computing, vol.17, no.3, pp. 653-664, Sep. 2014. https://doi.org/10.1007/s10586-014-0367-y