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A proposal of digital contents copyright protection by using blockmarking technique

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Recently, Blockmarking technique [15] is proposed for a new hybrid model based on the combination of blockchain and watermarking method. In this model, it not only achieves the goal of image copyright protection but also stores the image into the blockchain network such as IPFS system. In this paper, we propose a new DRM system by inheriting the idea of Blockmarking. The copyright contents can be distributed via IPFS blockchain, then be restored by using the reconstruction license for each legal user. Also, in our method, based on the reconstruction licenses, the distributed contents can be reconstructed from IPFS with various watermarking patterns. It helps us can manage the legal users and trace the traitor if a dispute occurs. The experimental results show that our method successfully achieved the purpose of digital copyright protection.
Wydawca
Czasopismo
Rocznik
Tom
Strony
621--636
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wykr.
Twórcy
autor
  • Le Quy Don Technical University, 239 Hoang Quoc Viet, Bac Tu Liem, Ha Noi
  • Le Quy Don Technical University, 239 Hoang Quoc Viet, Bac Tu Liem, Ha Noi
Bibliografia
  • [1] Asikuzzaman M., Pickering M.R.: An Overview of Digital Video Watermarking, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28(9), pp. 2131–2153, 2018. doi: 10.1109/TCSVT.2017.2712162.
  • [2] Badr B., Horrocks R., Wu X.: Blockchain by Example: A Developer’s Guide to Creating Decentralized Applications Using Bitcoin, Ethereum, and Hyperledger, Packt Publishing, 2018.
  • [3] Benet J.: IPFS – Content Addressed, Versioned, P2P File System, 2014. doi: 10.48550/ARXIV.1407.3561.
  • [4] Dalla Preda M., Masaia F.: Exploring NFT Validation through Digital Watermarking. In: The 18th International Conference on Availability, Reliability and Security (ARES 2023), August 29 September 01, 2023, Benevento, Italy, Association for Computing Machinery, New York, NY, USA, 2023. doi: 10.1145/ 3600160.3605063.
  • [5] Gaid S.K., Jabbar K.K.: Frequency Domain for Color Image Authentication Proofing, Journal of Physics: Conference Series, vol. 1963(1), 012094, 2021. doi: 10.1088/1742-6596/1963/1/012094.
  • [6] Iwakiri M., Thanh T.M.: Fundamental Incomplete Cryptography Method to Digital Rights Management Based on JPEG Lossy Compression. In: 2012 IEEE 26th International Conference on Advanced Information Networking and Applications, pp. 755–762, 2012. doi: 10.1109/AINA.2012.111.
  • [7] Iwakiri M., Thanh T.M.: Incomplete Cryptography Method Using Invariant Huffman Code Length to Digital Rights Management. In: 2012 IEEE 26th International Conference on Advanced Information Networking and Applications, pp. 763–770, 2012. doi: 10.1109/AINA.2012.112.
  • [8] Mary S.J.J., Joe S.S.A., Siddique M.: IRDM watermarking with EMRC6 encryption for DRM system. In: 2018 Majan International Conference (MIC), pp. 1–5, 2018. doi: 10.1109/MINTC.2018.8363157.
  • [9] Nakamoto S.: Bitcoin: A Peer-to-Peer Electronic Cash System. pp. 1–9, 2008. Available at https://bitcoin.org/bitcoin.pdf.
  • [10] Parah S.A., Sheikh J.A., Loan N.A., Bhat G.M.: Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing, Digital Signal Processing, vol. 53, pp. 11–24, 2016. doi: 10.1016/j.dsp.2016.02.005.
  • [11] Pardhu T., Perli B.R.: Digital image watermarking in frequency domain. In: 2016 International Conference on Communication and Signal Processing (ICCSP), pp. 0208–0211, 2016. doi: 10.1109/ICCSP.2016.7754123.
  • [12] Ranjbar Alvar S., Akbari M., Yue D.M.X., Zhang Y.: NFT-Based Data Marketplace with Digital Watermarking. In: KDD ’23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 4756–4767, Association for Computing Machinery, New York, NY, USA, 2023. doi: 10.1145/ 3580305.3599876.
  • [13] Srivastava R., Tomar R., Gupta M., Yadav A.K., Park J.: Image Watermarking Approach Using a Hybrid Domain Based on Performance Parameter Analysis, Information, vol. 12(8), 2021. doi: 10.3390/info12080310.
  • [14] Sultan K., Ruhi U., Lakhani R.: Conceptualizing Blockchains: Characteristics & Applications, ArXiv, vol. abs/1806.03693, 2018.
  • [15] Tai L.D., Thanh N.V., Thanh T.M.: Blockmarking: Hybrid Model of Blockchain and Watermarking Technique for Copyright Protection. In: SoIC ’22: Proceedings of the 11th International Symposium on Information and Communication Technology, pp. 398–404, Association for Computing Machinery, New York, NY, USA, 2022. doi: 10.1145/3568562.3568575.
  • [16] Tai L.D., Thanh T.M.: Digital Image Watermarking Algorithm Using Blockmarking Technique for Copyright Protection. In: 2023 15th International Conference on Knowledge and Systems Engineering (KSE), pp. 1–4, 2023. doi: 10.1109/ KSE59128.2023.10299411.
  • [17] Thanh T.M., Iwakiri M.: A Proposal of Digital Rights Management Based on Incomplete Cryptography Using Invariant Huffman Code Length Feature, Multimedia Systems, vol. 20(2), pp. 127–142, 2014. doi: 10.1007/s00530-013-0327-z.
  • [18] Thanh T.M., Iwakiri M.: Fragile Watermarking with Permutation Code for Content-Leakage in Digital Rights Management System, Multimedia Systems, vol. 22, pp. 603–615, 2016. doi: 10.1007/s00530-015-0472-7.
  • [19] Thanh T.M., Quyet D.T.: A study on gas cost of ethereum smart contracts and performance of blockchain on simulation tool. In: Peer-to-Peer Networking and Applications, pp. 200–212, Special Issue on 2 – Track on Security and Privacy, 2024. doi: 10.1007/s12083-023-01598-3.
  • [20] Thanh T.M., Tanaka K.: A proposal of novel q-DWT for blind and robust image watermarking. In: 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), pp. 2061–2065, 2014. doi: 10.1109/PIMRC.2014.7136511.
  • [21] Thanh T.M., Tanaka K.: Blind Watermarking using QIM and the Quantized SVD Domain based on the q-Logarithm Function. In: J. Braz, S. Battiato, F.H. Imai (eds.), VISAPP 2015 – Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 3, Berlin, Germany, 11–14 March, 2015, pp. 14–25, SciTePress, 2015. doi: 10.5220/0005291900140025.
  • [22] Thanh T.M., Tanaka K.: The novel and robust watermarking method based on q-logarithm frequency domain, Multimedia Tools and Applications, vol. 75, pp. 11097–11125, 2016. doi: 10.1007/s11042-015-2836-6.
  • [23] Thanh T.M., Thanh N.T.: Extended DCT Domain for Improving the Quality of Watermarked Image. In: 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), pp. 336–339, 2015. doi: 10.1109/KSE.2015.70.
  • [24] Thomas T., Emmanuel S., Subramanyam A.V., Kankanhalli M.S.: Joint Watermarking Scheme for Multiparty Multilevel DRM Architecture, IEEE Transactions on Information Forensics and Security, vol. 4(4), pp. 758–767, 2009. doi: 10.1109/TIFS.2009.2033229.
  • [25] Venugopalan S., Aydt H.: Improving Confidentiality for NFT Referenced Data Stores, 2023.
  • [26] Zhaofeng M., Weihua H., Hongmin G.: A new blockchain-based trusted DRM scheme for built-in content protection, EURASIP Journal on Image and Video Processing, 91, 2018. doi: 10.1186/s13640-018-0327-1.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fca49260-cf20-4d9f-9ae6-30f6e0064a06
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