Blockchain-based Management of Video Surveillance Systems: A Survey
Abstract
In this survey, we go through all the papers that lead up to our idea of a smart video surveillance system and make a comparative study of available technologies. The increase in efficiency by using hyper ledger for blockchain is analyzed along with the study of modern data sharing techniques like CDN and IPFS.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
By using IPFS and off-chain storage, surveillance systems can reduce costs associated with storing large amounts of data on blockchain while still benefiting from security and transparency that blockchain provides.
“By using the IPFS and off-chain storage, surveillance systems can reduce the costs associated with storing large amounts of data on the blockchain while still benefiting from the security and transparency that the blockchain provides [141].”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [141]
Cites
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Flagged first, then by citations
Cited by
Sorted by citations
A Survey of Video Surveillance Systems in Smart City
Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works
“By using the IPFS and off-chain storage, surveillance systems can reduce the costs associated with storing large amounts of data on the blockchain while still benefiting from the security and transparency that the blockchain provides [141].”
MethodBlockchain for securing aerial communications: Potentials, solutions, and research directions
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Joint Crypto-Blockchain Scheme for Trust-Enabled CCTV Videos Sharing
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Advancing Video Data Privacy Preservation in IoT Networks through Video Blockchain
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Efficient Integrated AIoT and Blockchain Recognition Model using Blockchain Technology
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Privacy Preserving Multi-Zonal Vehicle Surveillance Enabled by Federated Consortium Blockchain
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- Authors
- Deepak, K., Badiger, A. N., Akshay, J., Awomi, K. A., Deepak, G., & Kumar N., H.
- Affiliations
- Dayananda Sagar College of Engineering (IN)
- ORCID
- Deepak, K.
- Venue
- 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)
- Publisher
- IEEE
- Published
- 2020-03
- Pages
- 1256-1258
- OpenAlex
- W3019454794
- Cited by
- 16
- References
- 10
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 2
- FWCI
- 2.09
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Advanced Computing and Communication Systems (ICACCS) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- blockchain, video surveillance systems, intelligent surveillance, Hyperledger, content delivery networks, IPFS, decentralized data sharing
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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