Skip to main content
SpringerLink
Log in

A Blockchain-Based Data Hiding Method for Data Protection in Digital Video

  • Conference paper
  • First Online:
Smart Blockchain (SmartBlock 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11373))

Included in the following conference series:

Abstract

The protection of secret data based on data hiding technique provides the basic security services for digital video through network transmission. However, the video with secret data is stored with centralized storage, which is vulnerable from external centralized attacks, such as the loss and tampering of the digital video. The protection of copyright and privacy data for digital video is still open issues. In this paper, we propose a blockchain-based data hiding method for data protection in digital video. To improve the integrity certification of secret data and the video, we combined the blockchain and data hiding techniques by adding the hash value to the block with a traceable hash value record; to improve the protection level of privacy data such as copyright related to digital video, we designed a DCT-based data hiding scheme which interact with the blockchain record, where the external chain is utilized as the controller for the privacy data into carrier video. Similar to Bitcoin, This system removes the need for a trusted third party, enabling autonomous control of privacy data.

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 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

References

  1. Christidis, K., Devetsikiotis, M.: Blockchains and smart contracts for the internet of things. IEEE Access 4, 2292–2303 (2016)

    Article  Google Scholar 

  2. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008). Consulted

    Google Scholar 

  3. Atzei, N., Bartoletti, M., Cimoli, T.: A survey of attacks on ethereum smart contracts (SoK). In: Maffei, M., Ryan, M. (eds.) POST 2017. LNCS, vol. 10204, pp. 164–186. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-54455-6_8

    Chapter  Google Scholar 

  4. Zhu, W., Luo, C., Wang, J., Li, S.: Multimedia cloud computing. IEEE Signal Proc. Mag. 23(3), 59–69 (2011)

    Article  Google Scholar 

  5. Sze, V., Budagavi, M.: High throughput CABAC entropy coding in HEVC. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1778–1791 (2012)

    Article  Google Scholar 

  6. Tew, Y., Wong, K.S.: An overview of information hiding in H. 264/AVC compressed video. IEEE Trans. Circuits Syst. Video Technol. 24(2), 305–319 (2014)

    Article  Google Scholar 

  7. Ha, P.H., Tsigas, P., Anshus, O.J., Sname, F.: SocioNet: a social-based multimedia access system for unstructured P2P networks. IEEE T. Parall. Distr. 21(7), 1027–1041 (2010)

    Article  Google Scholar 

  8. Liu, A.D., Du, X.H., Wang, N., Li, S.Z.: Research progress of blockchain technology and its application in information security. Journal of Software (2018)

    Google Scholar 

  9. Bogner, A., Chanson, M., Meeuw, A.: A decentralised sharing app running a smart contract on the ethereum blockchain. In: International Conference, pp. 177–178 (2016)

    Google Scholar 

  10. Kosba, A., Miller, A., Shi, E., et al.: Hawk: the blockchain model of cryptography and privacy-preserving smart contracts. In: Proceedings of the 2016 IEEE Symposium on Security and Privacy. Piscataway, NJ, pp. 839–858. IEEE (2016)

    Google Scholar 

  11. Monero: A note on chain reactions in traceability in Cryptonote 2.0 (2017). https://lab.getmonero.org/pubs/MRL-0001.pdf

  12. Miers, I., Garman, C., Green, M., et al.: Zerocoin: anonymous distributed E-cash from bitcoin. In: IEEE Symposium on Security and Privacy Conference, Piscataway, NJ, pp. 397–411. IEEE (2014)

    Google Scholar 

  13. Ben-Sasson, E., Chiesa, A., Genkin, D., Tromer, E., Virza, M.: SNARKs for C: verifying program executions succinctly and in zero knowledge. In: Canetti, R., Garay, Juan A. (eds.) CRYPTO 2013. LNCS, vol. 8043, pp. 90–108. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40084-1_6

    Chapter  MATH  Google Scholar 

  14. Azaria, A., Ekblaw, A., Vieira, T., Lippman, A.: MedRec: using blockchain for medical data access and permission management. In: International Conference on Open and Big Data, pp. 25–30 (2016). https://doi.org/10.1109/OBD.2016.11

  15. Neisse, R., Steri, G., Naifovino, I.: A blockchain-based approach for data accountability and provenance tracking. In: International Conference on Availability, Reliability and Security, p. 14. ACM (2017)

    Google Scholar 

  16. Lazarovich, A.: Invisible ink, blockchain for data privacy, Massachusetts Institute of Technology, Boston, Massachusetts (2015)

    Google Scholar 

  17. Zyskind, G., Nathan. O., Pentland, A.: Enigma: decentralized computation platform with guaranteed privacy. Computer Science (2015)

    Google Scholar 

  18. Kumar, M., Agrawal, S.: Reversible data hiding based on prediction error expansion using adjacent pixels. Secur. Commun. Netw. 9(16), 3703–3712 (2016)

    Article  Google Scholar 

  19. Rad, R.M., Wong, K., Guo, J.-M.: Reversible data hiding by adaptive group modification on histogram of prediction errors. Signal Process. 125 C, 315–328 (2016)

    Article  Google Scholar 

  20. Mstafa, R.J., Elleithy, K.M., Abdelfattah, E.: A robust and secure video steganography method in DWT-DCT domains based on multiple object tracking and ECC. IEEE Access PP(99), 1 (2017)

    Article  Google Scholar 

  21. Ma, X.J., Li, Z.T., Lv, J.L., Wang, W.D.: Data hiding in H.264/AVC streams with limited intra-frame distortion drift. In: International Symposium on Computer Network and Multimedia Technology, pp. 1–5 (2009)

    Google Scholar 

  22. Ma, X.J., Li, Z.T., Tu, H., Zhang, B.: Data hiding agorithm for H.264/AVC video streams without intra frame distortion drift. IEEE Trans. Circuits Syst. Video Technol. 20(10), 1320–1330 (2010)

    Article  Google Scholar 

  23. Swati, S., Hayat, K., Shahid, Z.: A watermarking scheme for high efficiency video coding (HEVC). PLoS One 9(8), e105613 (2014). https://doi.org/10.1371/journal.Pone.0105613

    Article  Google Scholar 

  24. Liu, Y.X., Li, Z.T., Ma, X.J., Liu, J.: A robust without intra-frame distortion drift data hiding algorithm based on H.264/AVC. Multimed. Tools Appl. 72(1), 613–636 (2014)

    Article  Google Scholar 

  25. Liu, Y.X., Jia, S.M., Hu, M.S., Jia, Z.J., Chen, L., Zhao, H.G.: A reversible data hiding method for H.264 with Shamir’s (t, n)-threshold secret sharing. Neurocomputing 188, 63–70 (2016)

    Article  Google Scholar 

  26. Yoo, H., Jung, J., Jo, J., Park, I.C.: Area-efficient multimode encoding architecture for long BCH codes. IEEE Trans. Circuits Syst. II Express Briefs 60(12), 872–876 (2013)

    Article  Google Scholar 

  27. Liu, Y.X., Ju, L.M., Hu, M.S.: A new data hiding method for H.264 based on secret sharing. Neurocomputing (2015)

    Google Scholar 

  28. Bhowmik, D., Feng, T.: The multimedia blockchain: a distributed and tamper-proof media transaction framework. In: International Conference on Digital Signal Processing (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Zhengzhou Normal University, Zhengzhou, China

    Hongguo Zhao & Yunxia Liu

  2. Computing and Digital Technology, Birmingham City University, Birmingham, UK

    Yonghao Wang

  3. High Performance Blockchain Foundation LTD, Beijing, China

    Xiaoming Wang & Jiaxuan Li

Authors
  1. Hongguo Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yunxia Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yonghao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaoming Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jiaxuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yunxia Liu .

Editor information

Editors and Affiliations

  1. Columbia University, New York, NY, USA

    Meikang Qiu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhao, H., Liu, Y., Wang, Y., Wang, X., Li, J. (2018). A Blockchain-Based Data Hiding Method for Data Protection in Digital Video. In: Qiu, M. (eds) Smart Blockchain. SmartBlock 2018. Lecture Notes in Computer Science(), vol 11373. Springer, Cham. https://doi.org/10.1007/978-3-030-05764-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05764-0_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05763-3

  • Online ISBN: 978-3-030-05764-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation