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A secured distributed detection system based on IPFS and blockchain for industrial image and video data security
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“In contrast, pHash and its variants operate in the frequency domain, extracting low-frequency DCT coefficients to capture global structural information while suppressing high-frequency noise12.”
From DBpHash: a blockchain-based dual-band perceptual hashing framework for copyright protection of purely chromatic background images (2026) · cites this paper as [12]
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Self-citation
Metadata
- Authors
- Kumar, R., Tripathi, R., Marchang, N., Srivastava, G., Gadekallu, T. R., & Xiong, N. N.
- Affiliations
- National Institute of Technology Raipur (IN)
- North Eastern Regional Institute of Science and Technology (IN)
- China Medical University (TW)
- Vellore Institute of Technology University (IN)
- Corresponding author
- Srivastava, Gautam
- ORCID
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 152
- Pages
- 128-143
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W3135191333
- Cited by
- 140
- References
- 61
- Citations by year
- 2026: 8 · 2025: 24 · 2024: 28 · 2023: 36 · 2022: 30 · 2021: 14
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Parallel and Distributed Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- copyright infringement detection, image forgery detection, video tampering detection, IPFS, blockchain, perceptual hashing, multimedia security, distributed detection
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