2019 IEEE International Conference on Blockchain (Blockchain) 2019
DOI: 10.1109/blockchain.2019.00080
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A Lightweight Blockchain-Based Privacy Protection for Smart Surveillance at the Edge

Abstract: Witnessing the increasingly pervasive deployment of security video surveillance systems(VSS), more and more individuals have become concerned with the issues of privacy violations. While the majority of the public have a favorable view of surveillance in terms of crime deterrence, individuals do not accept the invasive monitoring of their private life. To date, however, there is not a lightweight and secure privacypreserving solution for video surveillance systems. The recent success of blockchain (BC) technol… Show more

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Cited by 51 publications
(22 citation statements)
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References 18 publications
(21 reference statements)
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“…As a result, the pressure of data transmission and processing is significantly and the authentication efficiency is improved [426]. With the application of cryptographic algorithms such as group signature and ring signature in the data structure, the data has high anonymity [428,429].…”
Section: Possible Countermeasures To the Security And Privacy Issuesmentioning
confidence: 99%
“…As a result, the pressure of data transmission and processing is significantly and the authentication efficiency is improved [426]. With the application of cryptographic algorithms such as group signature and ring signature in the data structure, the data has high anonymity [428,429].…”
Section: Possible Countermeasures To the Security And Privacy Issuesmentioning
confidence: 99%
“…Finally, the paper proposed in [54] deals with a blockchain-based privacy protection scheme for video surveillance suitable for IoMT, called Lib-Pri. It guarantees people monitoring by capturing their image in realtime videos, without compromising their identity or location privacy.…”
Section: A Comparative Analysis With State-of-the-art Schemes For DImentioning
confidence: 99%
“…However, its main drawback is that it cannot perform a-posteriori accountability in case of an accident or legal requirement, because the original videos are not maintained in a storage. x -x - [28] x --- [50] x --- [27] x --- [51] x --- [52] x -x - [53] x -x - [54] x x -x…”
Section: A Comparative Analysis With State-of-the-art Schemes For DImentioning
confidence: 99%
“…To protect privacy-sensitive attributes that reveal a lot of information about individuals, like faces, a novel minor privacy protection was proposed by using a face object detector to process collected video streams in real-time at the edge [38,39]. The localized regions of frame will be reversibly scrambled though a lightweight scrambling algorithm.…”
Section: Security Goal 3: Decentralized Privacy-preserving Mechanismmentioning
confidence: 99%