The DOI matches its Crossref record; 59 of the 61 references it cites were found in a registry or an index.
A secured distributed detection system based on IPFS and blockchain for industrial image and video data security
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Integrity signals
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In the citing paper
“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]
Citations
Cites
(2007) · CaltechAUTHORS (California Institute of Technology) · Cited by 2,274
IPFS - Content Addressed, Versioned, P2P File SystemPreprint
Benet, J. (2014) · arXiv (Cornell University) · doi:10.4230/lipics.opodis.2022.9 · Cited by 1,856
Wüst, K., & Gervais, A. (2018) · Crypto Valley Conference on Blockchain Technology (CVCBT) · doi:10.1109/cvcbt.2018.00011 · Cited by 1,012
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766
A survey on blockchain for big data: Approaches, opportunities, and future directions
Deepa, N., Pham, Q., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., Maddikunta, P. K. R., Fang, F., & Pathirana, P. N. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.01.017 · Cited by 642
Self-citationEffective and Efficient Global Context Verification for Image Copy Detection
Zhou, Z., Wang, Y., Wu, Q. M. J., Yang, C., & Sun, X. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2601065 · Cited by 336
2017 IEEE International Conference on Big Data (Big Data)
Jian-Yun Nie, Z. O., Nie, J.-Y., Zoran Obradovic, A., Suzumura, T., Ghosh, R., Nambiar, R., Wang, C., Zang, H., Baeza-Yates, R., Hu, X., et al. (2017) · doi:10.1109/bigdata41644.2017 · Cited by 302
Smart Secure Sensing for IoT-Based Agriculture: Blockchain Perspective
Vangala, A., Das, A. K., Kumar, N., & Alazab, M. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3012294 · Cited by 268
2015 IEEE International Conference on Information and Automation
(2015) · doi:10.1109/icia36264.2015 · Cited by 250
An improved P2P file system scheme based on IPFS and Blockchain
Chen, Y., Li, H., Li, K., & Zhang, J. (2017) · 2017 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata.2017.8258226 · Cited by 238
Cited by
Sorted by citations
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Kumar, R., Kumar, P., Tripathi, R., Gupta, G. P., Garg, S., & Hassan, M. M. (2022) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2022.01.030 · Cited by 210
Self-citationDhasarathan, C., Hasan, M. K., Islam, S., Khapre, S. P., Abdullah, S., Ghazal, T. M., Alzahrani, A. I., Alalwan, N., Vo, N., & Akhtaruzzaman, M. (2024) · CAAI Transactions on Intelligence Technology · doi:10.1049/cit2.12287 · Cited by 147
Transformer for Skeleton-based action recognition: A review of recent advances
Xin, W., Liu, R.-Y., Liu, Y., Chen, Y., Yu, W., & Miao, Q. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.03.001 · Cited by 117
Blockchain technology in the pharmaceutical industry: a systematic review
Zakari, N. M. A., Al‐Razgan, M., Alsaadi, A., Alshareef, H., saigh, H. A., Alashaikh, L., Alharbi, M., Alomar, R., & Alotaibi, S. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.840 · Cited by 91
A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions
Javed, A. R., Jalil, Z., Zehra, W., Gadekallu, T. R., Suh, D. Y., & Piran, M. J. (2021) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2021.104456 · Cited by 85
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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