PPViBe: Privacy preserving background extractor via secret sharing in multiple cloud servers

Jin, Xin; Wu, Yaming; Li, Yuzhen; Zhao, Geng; Guo, Kui

doi:10.1109/wcsp.2016.7752569

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The result of modulo operation of this integer on a modulo base can be considered as a modulo projection on the coordinate axis. As shown in the figure 1, 31 is a point on the three-dimensional coordinate axis (7,11,13). Its projection on the "7 axis" is 3, the projection on the "11 axis" is 9, and the projection on the "13 axis" is 5.…”

Section: Cmp-swhe Cryptosystemmentioning

confidence: 99%

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Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities

Jin

Zhang

et al. 2021

IEEE Internet Things J.

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With the development of cloud computing, the storage and processing of massive visual media data has gradually transferred to the cloud server. For example, if the intelligent video monitoring system cannot process a large amount of data locally, the data will be uploaded to the cloud. Therefore, how to process data in the cloud without exposing the original data has become an important research topic. We propose a single-server version of somewhat homomorphic encryption cryptosystem based on confused modulo projection theorem named CMP-SWHE, which allows the server to complete blind data processing without seeing the effective information of user data. On the client side, the original data is encrypted by amplification, randomization, and setting confusing redundancy. Operating on the encrypted data on the server side is equivalent to operating on the original data. As an extension, we designed and implemented a blind computing scheme of accelerated version based on batch processing technology to improve efficiency. To make this algorithm easy to use, we also designed and implemented an efficient general blind computing library based on CMP-SWHE. We have applied this library to foreground extraction, optical flow tracking and object detection with satisfactory results, which are helpful for building smart cities. We also discuss how to extend the algorithm to deep learning applications. Compared with other homomorphic encryption cryptosystems and libraries, the results show that our method has obvious advantages in computing efficiency. Although our algorithm has some tiny errors (10 −6) when the data is too large, it is very efficient and practical, especially suitable for blind image and video processing.

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Section: Cmp-swhe Cryptosystemmentioning

confidence: 99%

“…But the method leads to satisfactory results only in controlled environments. It can become problematic in practical applications [7]. The conditions of use are harsh.…”

Section: Introductionmentioning

confidence: 99%

Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities

Jin

Zhang

et al. 2021

IEEE Internet Things J.

Self Cite

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“…A scheduling algorithm is proposed to control the activity of sensor nodes according to the redundancy level and criticality of each node. Some other works prefer to do all the processing on a cloud server or multiple cloud servers [21], [22]. In those approaches the security topic is also taken into consideration and the processing is very efficient since it is done on cloud servers.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient secured data reduction technique using image difference function in wireless video sensor networks

Salim

Makhoul

Couturier

2019

Multimed Tools Appl

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Secure face retrieval for group mobile users

Jin

et al. 2019

Soft Comput

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PPViBe: Privacy preserving background extractor via secret sharing in multiple cloud servers

Cited by 5 publications

References 11 publications

Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities

Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities

Energy-efficient secured data reduction technique using image difference function in wireless video sensor networks

Secure face retrieval for group mobile users

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