Browse > Article
http://dx.doi.org/10.9717/kmms.2021.24.8.1044

Blockchain Technology for Combating Deepfake and Protect Video/Image Integrity  

Rashid, Md Mamunur (Dept. of Artificial Intelligence Convergence, Pukyong National University)
Lee, Suk-Hwan (Department of Computer Engineering, Donga University)
Kwon, Ki-Ryong (Dept. of Artificial Intelligence Convergence, Pukyong National University)
Publication Information
Abstract
Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain's capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.
Keywords
Blockchain; Security; Artificial Intelligence; Consensus; Deepfake; Video Integrity; Hyperledger Fabric; Smart Contract;
Citations & Related Records
연도 인용수 순위
  • Reference
1 I.C. Lin and T.C. Liao, "A Survey of Blockchain Security Issues and Challenges," International Journal of Network Security, Vol. 19, No. 5, pp. 653-659, 2017.
2 D. Bhowmik and T. Feng, "The Multimedia Blockchain: A Distributed and Tamper-Proof Media Transaction Framework," 22nd International Conference on Digital Signal Processing (DSP), pp. 1-5, 2017.
3 P. Yu, Z. Xia, J. Fei, and Y. Lu, "A Survey on Deepfake Video Detection," IET Biometrics, pp. 1-18, 2021.
4 S. Charleer, "Family Fun with Deepfakes. or How I Got My Wife onto the Tonight Show," Towards Data Science, 2018.
5 A. Yazdinejad, R.M. Parizi, G. Srivastava, and A. Dehghantanha, "Making Sense of Blockchain for AI Deepfakes Technology," IEEE Globecom Workshops, pp. 1-6, 2020.
6 T. Salman, M. Zolanvari, A. Erbad, R. Jain, and M. Samaka, "Security Services Using Blockchains: A State of the Art Survey," IEEE Communications Surveys Tutorials, Vol. 21, No. 1, pp. 858-880, 2019.   DOI
7 M.V. Rijmenam, "Five Blockchain Trends for You to Consider This Year," April 2019. [Online]. https://vanrijmenam.nl/five-blockchain-trends-consider-this-year/ (Accessed 02 Aug 2021).
8 C.C.K. Chan, V. Kumar, S. Delaney, and M. Gochoo, "Combating Deepfakes: Multi-LSTM and Blockchain as Proof of Authenticity for Digital Media," IEEE/ITU International Conference on Artificial Intelligence for Good (AI4G), pp. 55-62, 2020.
9 H.R. Hasan and K. Salah, "Combating Deepfake Videos Using Blockchain and Smart Contracts," IEEE Access, Vol. 7, pp. 41596-41606, 2019.   DOI
10 D. Berdik, S. Otoum, N. Schmidt, D. Porter, and Y. Jararweh, "A Survey on Blockchain for Information Systems Management and Security," Information Processing & Management, Vol. 58, No. 1, p. 102397, 2021.   DOI
11 Y. Zhang, Y. Liu, and C. H. Chen, "Survey on Blockchain and Deep Learning," IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1989-1994, 2020.
12 A. Qayyum, J. Qadir, M. U. Janjua, and F. Sher, "Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News," IT Professional, Vol. 21, No. 4, pp. 16-24, 2019.   DOI
13 M.E. Peck, "Blockchain World-Do You Need A Blockchain? This Chart Will Tell You If the Technology Can Solve Your Problem," IEEE Spectrum, Vol. 54, No. 10, pp. 38-60, 2017.   DOI
14 T. Hepp, A. Schoenhals, C. Gondek, and B. Gipp, "OriginStamp: A Blockchain-Backed System for Decentralized Trusted Timestamping," IT-Information Technology, Vol. 60, No. 5-6, pp. 273-281, 2018.   DOI
15 Z. Ma, M. Jiang, H. Gao, and Z. Wang, "Blockchain for Digital Rights Management," Future Generation Computer Systems, pp. 746-764, Dec. 2018.
16 D. Drescher, Blockchain Basics: A Non-Technical Introduction in 25 Steps, Apress, 2018.
17 F. Hawlitschek, B. Notheisen, and T. Teubner, "The Limits of Trust-Free Systems: A Literature Review on Blockchain Technology and Trust in the Sharing Economy," Electronic Commerce Research and Applications, Vol. 29, pp. 50-63, 2018.   DOI
18 A.H. Billstrom and F. Huss, Video Integrity Through Blockchain Technology, Master's Thesis, KTH Royal Institute of Technology, 2017.
19 N. Fotiou and G.C. Polyzos, "Decentralized Name-Based Security for Content Distribution Using Blockchains," IEEE Conference on Computer Communications Workshops, pp. 415-420, 2016.
20 M. Liu, F.R. Yu, Y. Teng, V.C.M. Leung, and M. Song, "Distributed Resource Allocation in Blockchain-Based Video Streaming Systems With Mobile Edge Computing," IEEE Transactions on Wireless Communications, Vol. 18, No. 1, pp. 695-708, 2019.   DOI
21 H.B. Jeon, H.K. Ko, S.G. Lee, B.D. Song, C.K. Kim, and K.R. Kwon, "Comparative Analysis of Four Face Transformation Technologies to be Provided to the Interactive Media Platform COX," Journal of Korea Multimedia Society, Vol. 22, No. 5, pp. 535-546, 2019.   DOI
22 A Blockchain Platform for the Enterprise (2020), https://hyperledger-fabric.readthedocs.io/en/release-2.2/blockchain.html (Accessed August 03, 2021).
23 A. Chauhan and A. Kumar, "Establishing Environment Setup for Preventing Deepfakes Using Blockchain Technology," Mukt Shabd Journal, pp. 771-776, 2020.
24 I. Jessica, "Defamatory Political Deepfakes and the First Amendment," Case Western Reserve Law Review, Vol. 70, No. 2, pp. 417-455, 2019.
25 A. Shubhani and N. Kumar, "Chapter Eleven-Cryptographic Consensus Mechanisms," Advance Computing, Vol. 121, pp. 211-226, 2021.   DOI
26 B.K. Zheng, L.H. Zhu, M. Shen, F. Gao, C. Zhang, Y.D. Li, and J. Yang, "Scalable and Privacy-Preserving Data Sharing Based on Blockchain," Journal of Computer Science and Technology, Vol. 33, No. 3, pp. 557-567, 2018.   DOI