Nothing Special   »   [go: up one dir, main page]

Skip to main content

HEDrone: Privacy-Preserving Proof-of-Alibi for Drone Compliance Based on Homomorphic Encryption

  • Conference paper
  • First Online:
Security, Privacy, and Applied Cryptography Engineering (SPACE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12586))

  • 587 Accesses

Abstract

The proliferation of unmanned aerial Vehicles (UAVs) might be impeded because of rising concerns about citizen privacy in today’s society. Though some protocols and standards like no-fly-zones (NFZs) have been proposed for drone compliance, they expose the operational logistics of the drone in terms of its flight data. AliDrone is a recent protocol that verifies NFZ violations by proof-of-alibi (PoA) via sharing of drone’s trace with a trusted third party Auditor. The protocol leverages upon a trusted execution environment (TEE) to prevent malicious drone operators from forging geo-location information. In AliDrone, since the auditor learns the drone’s flight trace, the privacy of the drone is compromised. HEDrone addresses this issue of drone privacy: it uses homomorphic encryption to enable PoA over encrypted traces.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Young, A.: Passenger jet carrying 240 people nearly hits a drone at 15,000ft, The Daily Mail, UK, 15 September 2018

    Google Scholar 

  2. British broadcasting corporation. Big rise in drone jail smuggling incidents, February 2016. http://www.bbc.com/news/uk-35641453

  3. Javaid, A.Y., Sun, W., Devabhaktuni, V.K., Alam, M.: Cyber security threat analysis and modeling of an unmanned aerial vehicle system. In: 2012 IEEE Conference on Technologies for Homeland Security (HST), pp. 585–590. IEEE (2012)

    Google Scholar 

  4. Birnbach, S., Baker, R., Martinovic, I.: Wi-fly?: detecting privacy invasion attacks by consumer drones (2017)

    Google Scholar 

  5. Busset, J., et al.: Detection and tracking of drones using advanced acoustic cameras. In: Unmanned/Unattended Sensors and Sensor Networks XI; and Advanced Free-Space Optical Communication Techniques and Applications, vol. 9647, p. 96470F, International Society for Optics and Photonics (2015)

    Google Scholar 

  6. Nguyen, P., Truong, H., Ravindranathan, M., Nguyen, A., Han, R., Vu, T.: Matthan: drone presence detection by identifying physical signatures in the drone’s RF communication. In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, pp. 211–224 (2017)

    Google Scholar 

  7. Rozantsev, A., Lepetit, V., Fua, P.: Flying objects detection from a single moving camera. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4128–4136 (2015)

    Google Scholar 

  8. Liu, T., Hojjati, A., Bates, A., Nahrstedt, K.: AliDrone: enabling trustworthy proof-of-alibi for commercial drone compliance. In: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), pp. 841–852 (2018)

    Google Scholar 

  9. Brasser, F., Kim, D., Liebchen, C., Ganapathy, V., Iftode, L., Sadeghi, A.-R.: Regulating arm trustzone devices in restricted spaces. In: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016, pp. 413–425, Association for Computing Machinery, New York (2016)

    Google Scholar 

  10. Javaid, A.Y., Sun, W., Devabhaktuni, V.K., Alam, M.: Cyber security threat analysis and modeling of an unmanned aerial vehicle system. In: 2012 IEEE Conference on Technologies for Homeland Security (HST), pp. 585–590 (2012)

    Google Scholar 

  11. Vijeev, A., Ganapathy, V., Bhattacharyya, C.: Regulating drones in restricted spaces. In: Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, HotMobile 2019, pp. 27–32, Association for Computing Machinery, New York (2019)

    Google Scholar 

  12. Beck, R.R., Vijeev, A., Ganapathy, V.: Privaros: a framework for privacy-compliant drones, arXiv preprint arXiv:2002.06512 (2020)

  13. Blank, P., Kirrane, S., Spiekermann, S.: Privacy-aware restricted areas for unmanned aerial systems. IEEE Secur. Priv. 16(2), 70–79 (2018)

    Article  Google Scholar 

  14. Dyer, J., Dyer, M., Xu, J.: Practical homomorphic encryption over the integers, arXiv preprint arXiv:1702.07588 (2017)

  15. Peng, Y., Li, H., Cui, J., Zhang, J., Ma, J., Peng, C.: hope: improved order preserving encryption with the power to homomorphic operations of ciphertexts. Sci. China Inf. Sci. 60(062101), 2017 (2017)

    Google Scholar 

  16. Cheon, J.H., Kim, A., Kim, M., Song, Y.: Homomorphic encryption for arithmetic of approximate numbers. In: Takagi, T., Peyrin, T. (eds.) ASIACRYPT 2017. LNCS, vol. 10624, pp. 409–437. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70694-8_15

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ganeshsai Garikipati .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Garikipati, G., Roshani, Mathuria, A., Singh, P. (2020). HEDrone: Privacy-Preserving Proof-of-Alibi for Drone Compliance Based on Homomorphic Encryption. In: Batina, L., Picek, S., Mondal, M. (eds) Security, Privacy, and Applied Cryptography Engineering. SPACE 2020. Lecture Notes in Computer Science(), vol 12586. Springer, Cham. https://doi.org/10.1007/978-3-030-66626-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66626-2_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66625-5

  • Online ISBN: 978-3-030-66626-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics