Blockchain based privacy preserving multimedia intelligent video surveillance using secure Merkle tree

The recent intelligent surveillance systems provide various services that have not existed before, such as proactive predictive surveillance, through the AI-based video analysis technology. However, there are common security and privacy challenges caused by malicious attacker and untrusted 3rd party...

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Vydáno v:Multimedia tools and applications Ročník 80; číslo 26-27; s. 34517 - 34534
Hlavní autoři: Lee, Donghyeok, Park, Namje
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.11.2021
Springer Nature B.V
Témata:
Blockchain
Computer Communication Networks
Computer Science
Cryptography
Data Structures and Information Theory
Multimedia
Multimedia Information Systems
Privacy
Security
Special Purpose and Application-Based Systems
Surveillance
Surveillance systems
Synchronism
Technology assessment
Video data
Video transmission
Multimedia
Privacy
Intelligent video surveillance
Merkle tree
CCTV
Blockchain
ISSN:1380-7501, 1573-7721
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Shrnutí:The recent intelligent surveillance systems provide various services that have not existed before, such as proactive predictive surveillance, through the AI-based video analysis technology. However, there are common security and privacy challenges caused by malicious attacker and untrusted 3rd party in the CCTV cloud system. To solve this problem, we exploit the blockchain technology to insure integrity and security of cloud-based intelligent surveillance system. In this paper, we propose a new method for cloud-based CCTV blockchain system. Our contribution is to propose a new Merkle-Tree method for the efficient transmission of video data. The suggested method in this paper is efficient because it reduces the bandwidth required for transmission. It also has the advantage of enabling deduplication to reduce storage costs. Also, the proposed method can synchronize CCTV video data safely without exposing the privacy of the object in the course of synchronization.
Bibliografie:ObjectType-Article-1
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-020-08776-y