Skip to main content
SpringerLink
Log in

Lightweight Privacy-Preserving Data Aggregation Scheme Based on Elliptic Curve Cryptography for Smart Grid Communications

  • Conference paper
  • First Online:
Smart Grid and Internet of Things (SGIoT 2021)

Included in the following conference series:

  • 210 Accesses

Abstract

Smart grid (SG) is a modern electricity grid based on bi-directional flow of electricity and information for efficient energy management. Due to dependence on information communication, the system is prone to potential cyber-security attacks such as, user identity theft and data privacy breach. Addressing these cyber-security issues with optimal efficiency in smart grid is an open research problem. From this perspective this paper proposes a lightweight scheme for robust information security and privacy-preservation in data aggregation in SG. The proposed scheme utilizes elliptic curve variant of El Gamal encryption cryptosystem and signcryption techniques to achieve user anonymity with greater efficiency. The scheme satisfies the standard security requirements proven in the random oracle model and does not need a trusted third-party or certificate issuance during scheme run. Performance evaluation analysis shows that the proposed scheme has a better overall performance to most relevant comparable schemes, since it does not use heavy computation operations such as bilinear pairings, map-to-point hash operations, exponentiation among others. Furthermore, the proposed scheme does not depend on trusted authority (TA) neither suffers from coalition attack nor insider attacks.

Supported by University of Rwanda.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abbasinezhad-Mood, D., Nikooghadam, M.: Design and hardware implementation of a security-enhanced elliptic curve cryptography based lightweight authentication scheme for smart grid communications. Futur. Gener. Comput. Syst. 84, 47–57 (2018)

    Article  Google Scholar 

  2. Abdallah, A., Shen, X.S.: A lightweight lattice-based homomorphic privacy-preserving data aggregation scheme for smart grid. IEEE Trans. Smart Grid 9(1), 396–405 (2016)

    Article  Google Scholar 

  3. Akyol, B.A., Kirkham, H., Clements, S.L., Hadley, M.D.: A survey of wireless communications for the electric power system. Technical report, Pacific Northwest National Lab (PNNL), Richland, WA, United States (2010)

    Google Scholar 

  4. Ali, I., Khan, E., Sabir, S.: Privacy-preserving data aggregation in resource-constrained sensor nodes in internet of things: a review. Future Comput. Inform. J. 3(1), 41–50 (2018)

    Article  Google Scholar 

  5. Alvarez-Alvarado, M.S., Jayaweera, D.: Reliability-based smart-maintenance model for power system generators. IET Gener. Trans. Distrib. 14(9), 1770–1780 (2020)

    Article  Google Scholar 

  6. Badra, M., Zeadally, S.: Lightweight and efficient privacy-preserving data aggregation approach for the smart grid. Ad Hoc Netw. 64, 32–40 (2017)

    Article  Google Scholar 

  7. Bae, M., Kim, K., Kim, H.: Preserving privacy and efficiency in data communication and aggregation for AMI network. J. Netw. Comput. Appl. 59, 333–344 (2016)

    Article  Google Scholar 

  8. Bao, H., Lu, R.: Comment on “privacy-enhanced data aggregation scheme against internal attackers in smart grid’’. IEEE Trans. Industr. Inf. 12(1), 2–5 (2015)

    MathSciNet  Google Scholar 

  9. Bekara, C.: Security issues and challenges for the IoT-based smart grid. In: FNC/MobiSPC, pp. 532–537 (2014)

    Google Scholar 

  10. Boudia, O.R.M., Senouci, S.M., Feham, M.: Elliptic curve-based secure multidimensional aggregation for smart grid communications. IEEE Sens. J. 17(23), 7750–7757 (2017)

    Article  Google Scholar 

  11. Chim, T.W., Yiu, S.M., Hui, L.C., Li, V.O.: Pass: privacy-preserving authentication scheme for smart grid network. In: 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 196–201. IEEE (2011)

    Google Scholar 

  12. Chim, T.W., Yiu, S.M., Li, V.O., Hui, L.C., Zhong, J.: PRGA: privacy-preserving recording & gateway-assisted authentication of power usage information for smart grid. IEEE Trans. Dependable Secure Comput. 12(1), 85–97 (2014)

    Article  Google Scholar 

  13. Das, D., Rout, D.K.: Adaptive algorithm for optimal real-time pricing in cognitive radio enabled smart grid network. ETRI J. 42, 585–595 (2020)

    Article  Google Scholar 

  14. Deng, R., Xiao, G., Lu, R., Chen, J.: Fast distributed demand response with spatially and temporally coupled constraints in smart grid. IEEE Trans. Industr. Inf. 11(6), 1597–1606 (2015)

    Article  Google Scholar 

  15. Desai, S., Alhadad, R., Chilamkurti, N., Mahmood, A.: A survey of privacy preserving schemes in IoE enabled smart grid advanced metering infrastructure. Clust. Comput. 22(1), 43–69 (2019). https://doi.org/10.1007/s10586-018-2820-9

    Article  Google Scholar 

  16. Dong, X., Zhou, J., Alharbi, K., Lin, X., Cao, Z.: An elgamal-based efficient and privacy-preserving data aggregation scheme for smart grid. In: 2014 IEEE Global Communications Conference, pp. 4720–4725. IEEE (2014)

    Google Scholar 

  17. Dwork, C., Kenthapadi, K., McSherry, F., Mironov, I., Naor, M.: Our data, ourselves: privacy via distributed noise generation. In: Vaudenay, S. (ed.) EUROCRYPT 2006. LNCS, vol. 4004, pp. 486–503. Springer, Heidelberg (2006). https://doi.org/10.1007/11761679_29

    Chapter  Google Scholar 

  18. Eissa, M.: New protection principle for smart grid with renewable energy sources integration using WiMAX centralized scheduling technology. Int. J. Electr. Power Energy Syst. 97, 372–384 (2018)

    Article  Google Scholar 

  19. Eissa, M., Ali, N.: Performance evaluation of IEEE 802.16 real time polling and unsolicited grant service scheduling for protecting transmission and sub-transmission systems with multi-terminals. Electric Power Syst. Res. 167, 48–57 (2019)

    Article  Google Scholar 

  20. Ekanayake, J.B., Jenkins, N., Liyanage, K., Wu, J., Yokoyama, A.: Smart Grid: Technology and Applications. Wiley, Hoboken (2012)

    Book  Google Scholar 

  21. Erkin, Z., Troncoso-Pastoriza, J.R., Lagendijk, R.L., Pérez-González, F.: Privacy-preserving data aggregation in smart metering systems: an overview. IEEE Signal Process. Mag. 30(2), 75–86 (2013)

    Article  Google Scholar 

  22. Farash, M.S., Attari, M.A.: A secure and efficient identity-based authenticated key exchange protocol for mobile client-server networks. J. Supercomput. 69(1), 395–411 (2014). https://doi.org/10.1007/s11227-014-1170-5

    Article  Google Scholar 

  23. Ferrag, M.A.: EPEC: an efficient privacy-preserving energy consumption scheme for smart grid communications. Telecommun. Syst. 66(4), 671–688 (2017). https://doi.org/10.1007/s11235-017-0315-2

    Article  Google Scholar 

  24. Ferrag, M.A., Ahmim, A.: Security solutions and applied cryptography in smart grid communications. IGI Global (2016)

    Google Scholar 

  25. Ferrag, M.A., Maglaras, L.A., Janicke, H., Jiang, J., Shu, L.: A systematic review of data protection and privacy preservation schemes for smart grid communications. Sustain. Urban Areas 38, 806–835 (2018)

    Google Scholar 

  26. FitzPatrick, G.J., Wollman, D.A.: NIST interoperability framework and action plans. In: IEEE PES General Meeting, pp. 1–4. IEEE (2010)

    Google Scholar 

  27. Ford, V., Siraj, A., Rahman, M.A.: Secure and efficient protection of consumer privacy in advanced metering infrastructure supporting fine-grained data analysis. J. Comput. Syst. Sci. 83(1), 84–100 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  28. Garcia, F.D., Jacobs, B.: Privacy-friendly energy-metering via homomorphic encryption. In: Cuellar, J., Lopez, J., Barthe, G., Pretschner, A. (eds.) STM 2010. LNCS, vol. 6710, pp. 226–238. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22444-7_15

    Chapter  Google Scholar 

  29. Goel, S., Hong, Y.: Security challenges in smart grid implementation. In: Goel, S., Hong, Y. (eds.) Smart Grid Security. SC, pp. 1–39. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6663-4_1

    Chapter  Google Scholar 

  30. Gong, Y., Cai, Y., Guo, Y., Fang, Y.: A privacy-preserving scheme for incentive-based demand response in the smart grid. IEEE Trans. Smart Grid 7(3), 1304–1313 (2015)

    Article  Google Scholar 

  31. Gope, P., Sikdar, B.: Lightweight and privacy-friendly spatial data aggregation for secure power supply and demand management in smart grids. IEEE Trans. Inf. Forensics Secur. 14(6), 1554–1566 (2018)

    Article  Google Scholar 

  32. He, D., Kumar, N., Zeadally, S., Vinel, A., Yang, L.T.: Efficient and privacy-preserving data aggregation scheme for smart grid against internal adversaries. IEEE Trans. Smart Grid 8(5), 2411–2419 (2017)

    Article  Google Scholar 

  33. He, D., Zeadally, S., Wang, H., Liu, Q.: Lightweight data aggregation scheme against internal attackers in smart grid using elliptic curve cryptography. Wireless Communications and Mobile Computing 2017 (2017)

    Google Scholar 

  34. Hu, C., Huo, Y., Ma, L., Liu, H., Deng, S., Feng, L.: An attribute-based secure and scalable scheme for data communications in smart grids. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds.) WASA 2017. LNCS, vol. 10251, pp. 469–482. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60033-8_41

    Chapter  Google Scholar 

  35. Humayed, A., Lin, J., Li, F., Luo, B.: Cyber-physical systems security-a survey. IEEE Internet Things J. 4(6), 1802–1831 (2017)

    Article  Google Scholar 

  36. Hur, J., Koo, D., Shin, Y.: Privacy-preserving smart metering with authentication in a smart grid. Appl. Sci. 5(4), 1503–1527 (2015)

    Article  Google Scholar 

  37. Jo, H.J., Kim, I.S., Lee, D.H.: Efficient and privacy-preserving metering protocols for smart grid systems. IEEE Trans. Smart Grid 7(3), 1732–1742 (2015)

    Article  Google Scholar 

  38. Koo, J., Lin, X., Bagchi, S.: RL-BLH: learning-based battery control for cost savings and privacy preservation for smart meters. In: 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 519–530. IEEE (2017)

    Google Scholar 

  39. Li, D., Aung, Z., Williams, J., Sanchez, A.: P3: privacy preservation protocol for automatic appliance control application in smart grid. IEEE Internet Things J. 1(5), 414–429 (2014)

    Article  Google Scholar 

  40. Li, S., Xue, K., Yang, Q., Hong, P.: PPMA: privacy-preserving multisubset data aggregation in smart grid. IEEE Trans. Industr. Inf. 14(2), 462–471 (2017)

    Article  Google Scholar 

  41. Liu, J.K., Yuen, T.H., Au, M.H., Susilo, W.: Improvements on an authentication scheme for vehicular sensor networks. Expert Syst. Appl. 41(5), 2559–2564 (2014)

    Article  Google Scholar 

  42. Liu, Y., Cheng, C., Gu, T., Jiang, T., Li, X.: A lightweight authenticated communication scheme for smart grid. IEEE Sens. J. 16(3), 836–842 (2015)

    Article  Google Scholar 

  43. Liu, Y., Guo, W., Fan, C.I., Chang, L., Cheng, C.: A practical privacy-preserving data aggregation (3PDA) scheme for smart grid. IEEE Trans. Industr. Inf. 15(3), 1767–1774 (2018)

    Article  Google Scholar 

  44. Lu, R., Alharbi, K., Lin, X., Huang, C.: A novel privacy-preserving set aggregation scheme for smart grid communications. In: 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1–6. IEEE (2015)

    Google Scholar 

  45. Lu, R., Heung, K., Lashkari, A.H., Ghorbani, A.A.: A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT. IEEE Access 5, 3302–3312 (2017)

    Article  Google Scholar 

  46. Lu, R., Liang, X., Li, X., Lin, X., Shen, X.: EPPA: an efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Trans. Parallel Distrib. Syst. 23(9), 1621–1631 (2012)

    Article  Google Scholar 

  47. Mahmood, K., Chaudhry, S.A., Naqvi, H., Kumari, S., Li, X., Sangaiah, A.K.: An elliptic curve cryptography based lightweight authentication scheme for smart grid communication. Futur. Gener. Comput. Syst. 81, 557–565 (2018)

    Article  Google Scholar 

  48. Ming, Y., Zhang, X., Shen, X.: Efficient privacy-preserving multi-dimensional data aggregation scheme in smart grid. IEEE Access 7, 32907–32921 (2019)

    Article  Google Scholar 

  49. Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D.: Private memoirs of a smart meter. In: Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems For Energy-efficiency in Building, pp. 61–66 (2010)

    Google Scholar 

  50. Morello, R., Mukhopadhyay, S.C., Liu, Z., Slomovitz, D., Samantaray, S.R.: Advances on sensing technologies for smart cities and power grids: a review. IEEE Sens. J. 17(23), 7596–7610 (2017)

    Article  Google Scholar 

  51. 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). https://doi.org/10.1007/3-540-48910-X_16

    Chapter  Google Scholar 

  52. Pawar, A., Rahane, S.: Opportunities and challenges of wireless communication technologies for smart grid applications. Int. J. Comput. Netw. Wirel. Mobile Commun. (IJCNWMC) 3(1), 289–296 (2013)

    Google Scholar 

  53. Phiri, K.K., Kim, H.: Linear secret sharing scheme with reduced number of polynomials. Secur. Commun. Netw. (2019)

    Google Scholar 

  54. Qu, H., Shang, P., Lin, X.J., Sun, L.: Cryptanalysis of a privacy-preserving smart metering scheme using linkable anonymous credential. IACR Cryptol. ePrint Arch. 2015, 1066 (2015)

    Google Scholar 

  55. Rivest, R.L.: Cryptography. In: Algorithms and Complexity, pp. 717–755. Elsevier (1990)

    Google Scholar 

  56. Savaglio, C., Ganzha, M., Paprzycki, M., Bădică, C., Ivanović, M., Fortino, G.: Agent-based internet of things: State-of-the-art and research challenges. Futur. Gener. Comput. Syst. 102, 1038–1053 (2020)

    Article  Google Scholar 

  57. Saxena, N., Choi, B.J., Lu, R.: Authentication and authorization scheme for various user roles and devices in smart grid. IEEE Trans. Inf. Forensics Secur. 11(5), 907–921 (2015)

    Article  Google Scholar 

  58. Scott, M.: Multiprecision integer and rational arithmetic cryptographic library (2003)

    Google Scholar 

  59. Shen, H., Zhang, M., Shen, J.: Efficient privacy-preserving cube-data aggregation scheme for smart grids. IEEE Trans. Inf. Forensics Secur. 12(6), 1369–1381 (2017)

    Article  Google Scholar 

  60. Sultan, S.: Privacy-preserving metering in smart grid for billing, operational metering, and incentive-based schemes: a survey. Comput. Secur. 84, 148–165 (2019)

    Article  Google Scholar 

  61. Tahir, M., Khan, A., Hameed, A., Alam, M., Khan, M.K., Jabeen, F.: Towards a set aggregation-based data integrity scheme for smart grids. Ann. Telecommun. 72(9–10), 551–561 (2017). https://doi.org/10.1007/s12243-017-0602-7

    Article  Google Scholar 

  62. Tan, S., De, D., Song, W.Z., Yang, J., Das, S.K.: Survey of security advances in smart grid: a data driven approach. IEEE Commun. Surv. Tutor. 19(1), 397–422 (2017)

    Article  Google Scholar 

  63. Tonyali, S., Akkaya, K., Saputro, N., Uluagac, A.S., Nojoumian, M.: Privacy-preserving protocols for secure and reliable data aggregation in IoT-enabled smart metering systems. Futur. Gener. Comput. Syst. 78, 547–557 (2018)

    Article  Google Scholar 

  64. Ustun, T.S., Khan, R.H., Hadbah, A., Kalam, A.: An adaptive microgrid protection scheme based on a wide-area smart grid communications network. In: 2013 IEEE Latin-America Conference on Communications, pp. 1–5. IEEE (2013)

    Google Scholar 

  65. Vahedi, E., Bayat, M., Pakravan, M.R., Aref, M.R.: A secure ECC-based privacy preserving data aggregation scheme for smart grids. Comput. Netw. 129, 28–36 (2017)

    Article  Google Scholar 

  66. Vaidya, B., Makrakis, D., Mouftah, H.: Provisioning substation-level authentication in the smart grid networks. In: 2011-MILCOM 2011 Military Communications Conference, pp. 1189–1194. IEEE (2011)

    Google Scholar 

  67. Vallent, T.F., Hanyurwimfura, D., Mikeka, C.: Efficient certificate-less aggregate signature scheme with conditional privacy-preservation for vehicular ad hoc networks enhanced smart grid system. Sensors 21(9), 2900 (2021)

    Article  Google Scholar 

  68. Wu, D., Zhou, C.: Fault-tolerant and scalable key management for smart grid. IEEE Trans. Smart Grid 2(2), 375–381 (2011)

    Article  Google Scholar 

  69. Xia, J., Wang, Y.: Secure key distribution for the smart grid. IEEE Trans. Smart Grid 3(3), 1437–1443 (2012)

    Article  Google Scholar 

  70. Yun, M., Yuxin, B.: Research on the architecture and key technology of internet of things (IoT) applied on smart grid. In: 2010 International Conference on Advances in Energy Engineering, pp. 69–72. IEEE (2010)

    Google Scholar 

  71. Zuo, X., Li, L., Peng, H., Luo, S., Yang, Y.: Privacy-preserving multidimensional data aggregation scheme without trusted authority in smart grid. IEEE Syst. J. 15(1), 395–406 (2020)

    Article  Google Scholar 

Download references

Acknowledgments

This research was possible because of the financial support from the World Bank, at the ACEIoT (African Center of Excellence in Internet of Things) which resides at the College of Science and Technology of the University of Rwanda, KN Street Nyarugenge, P.O. Box 3900, Kigali.

Author information

Authors and Affiliations

  1. College of Science and Technology, African Center of Excellence in Internet of Things (ACEIoT), University of Rwanda, KN Street Nyarugenge, P.O. Box 3900, Kigali, Rwanda

    Thokozani Felix Vallent & Damien Hanyurwimfura

  2. School of Computing, Department of Information Technology, SRM Institute of Science and Technology, Potheri, Kattankulathur Campus, Chennai, India

    Jayavel Kayalvizhi

  3. School of Computer Science, Kyungil University, Gyeongsan-si, South Korea

    Hyunsung Kim

  4. Chancellor College, Mathematical Science Department, University of Malawi, P.O. Box 280, Zomba, Malawi

    Hyunsung Kim

  5. Chancellor College, Department of Physics, University of Malawi, P.O. Box 280, Zomba, Malawi

    Chomora Mikeka

Authors
  1. Thokozani Felix Vallent
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Damien Hanyurwimfura
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jayavel Kayalvizhi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hyunsung Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chomora Mikeka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thokozani Felix Vallent .

Editor information

Editors and Affiliations

  1. Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

    Yi-Bing Lin

  2. Department of Computer Science and Information, National Changhua University of Education, Changhua City, Taiwan

    Der-Jiunn Deng

  3. Department of Computer Science, Tunghai University, Taichung, Taiwan

    Chao-Tung Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vallent, T.F., Hanyurwimfura, D., Kayalvizhi, J., Kim, H., Mikeka, C. (2022). Lightweight Privacy-Preserving Data Aggregation Scheme Based on Elliptic Curve Cryptography for Smart Grid Communications. In: Lin, YB., Deng, DJ., Yang, CT. (eds) Smart Grid and Internet of Things. SGIoT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-031-20398-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-20398-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20397-8

  • Online ISBN: 978-3-031-20398-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation