Smart Fog-Based Video Surveillance with Privacy Preservation based on Blockchain
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Dave et al. [147] suggested a private blockchain for storing personal information, such as people's faces, that involved using chaotic masking at fog nodes to blur privacy-sensitive objects before storing processed data securely on blockchain.
“Dave et al. [147] suggested a private blockchain for storing personal information, such as people's faces, that involved using chaotic masking at fog nodes to blur privacy-sensitive objects before storing the processed data securely on the blockchain.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [147]
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- Authors
- Dave, M., Rastogi, V., Miglani, M., Saharan, P., & Goyal, N.
- Affiliations
- National Institute of Technology Kurukshetra (IN)
- Chitkara University (IN)
- Corresponding author
- Goyal, Nitin
- Venue
- Wireless Personal Communications
- Published
- 2021-11-29
- Volume
- 124
- Issue
- 2
- Pages
- 1677-1694
- ISSN
- 0929-6212 (ISSN-L)
- 1572-834X
- OpenAlex
- W3217543238
- Cited by
- 37
- References
- 25
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 12 · 2023: 7 · 2022: 4 · 2021: 1
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Wireless Personal Communications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- video surveillance, privacy preservation, blockchain, fog computing, edge computing, smart home security, motion detection, intrusion detection, access authorization
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