Private Video Foreground Extraction Through Chaotic Mapping Based Encryption in the Cloud

Jin, Xin; Guo, Kui; Song, Chaoyun; Zhao, Geng; Luo, Jiancheng; Li, Yuzhen; Chen, Yingya; Liu, Yan; Wang, Huaichao

doi:10.1007/978-3-319-27671-7_47

Cited by 15 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…After that, rich literatures have been proposed in this field. The cryptographic tools such as secret sharing (SS) [3], security multi-party computation (SMC) [4], homomorphic encryption (HE) [5], garbed circuit (GC) [6], Chaotic System (CS) [7] are heavily used. Plenty of computer vision applications have been modified to the privacy preserving or secure versions such as private face detection [8], face recognition [4], content based image retrieval [9], visual media search on public datasets [10], intelligent video surveillance [3,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Efficient privacy preserving Viola-Jones type object detection via random base image representation

Jin

Yuan

Song

et al. 2017

2017 IEEE International Conference on Multimedia and Expo (ICME)

Self Cite

View full text Add to dashboard Cite

A cloud server spent a lot of time, energy and money to train a Viola-Jones type object detector [1] with high accuracy. Clients can upload their photos to the cloud server to find objects. However, the client does not want the leakage of the content of his/her photos. In the meanwhile, the cloud server is also reluctant to leak any parameters of the trained object detectors. 10 years ago, Avidan & Butman introduced Blind Vision, which is a method for securely evaluating a ViolaJones type object detector. Blind Vision uses standard cryptographic tools and is painfully slow to compute, taking a couple of hours to scan a single image. The purpose of this work is to explore an efficient method that can speed up the process. We propose the Random Base Image (RBI) Representation. The original image is divided into random base images. Only the base images are submitted randomly to the cloud server. Thus, the content of the image can not be leaked. In the meanwhile, a random vector and the secure Millionaire protocol are leveraged to protect the parameters of the trained object detector. The RBI makes the integral-image enable again for the great acceleration. The experimental results reveal that our method can retain the detection accuracy of that of the plain vision algorithm and is significantly faster than the traditional blind vision, with only a very low probability of the information leakage theoretically.

show abstract

3D Point Cloud Encryption Through Chaotic Mapping

Jin

Zhaoxing

Song

et al. 2016

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Private Video Foreground Extraction Through Chaotic Mapping Based Encryption in the Cloud

Cited by 15 publications

References 10 publications

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

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

Efficient privacy preserving Viola-Jones type object detection via random base image representation

3D Point Cloud Encryption Through Chaotic Mapping

Contact Info

Product

Resources

About