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Paper Abstract and Keywords
Presentation 2018-12-21 10:15
Low Bandwidth and High Privacy Surveillance System Architecture Integrating Edge and Cloud Computing
Jiaxing Lu (UTokyo), Kouichirou Amemiya, Kazuhito Matsuda, Makoto Kubota (FUJITSU), Akihiro Nakao (UTokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) Surveillance of objects in modern cities through IoT and Edge Computing such as automobile traffic monitoring for public safety has caught attentions recently. However, we observe two primary problems that may hinder scalable deployment of surveillance systems. First, high definition video consumes high bandwidth, although not all the data transferred have enough valid information for object recognition. Second, the centralized architecture often adopted today enforces us to transfer all the data to the central server, which makes public concerns on privacy, since most of the data captured for object recognition may include a great deal of privacy. To solve these problems, we propose this Low Bandwidth and High Privacy Surveillance System Architecture that integrates edge and cloud computing. In our proposed architecture, all the data generated from the local equipment such as surveillance cameras stay stored on the Edge Computing servers to secure them. Only filtered meta data free from privacy are transferred to the Cloud Computing server that can be used for points for the queries for the real raw data. Therefore, both the network bandwidth and the privacy requirements of the data are mitigated. More importantly, the owner of the data can control the access to their data since their data are intact in their hands.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge Computing / Cloud Computing / Low bandwidth / High privacy / Surveillance system / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 371, NS2018-171, pp. 71-76, Dec. 2018.
Paper # NS2018-171 
Date of Issue 2018-12-13 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee RCS NS  
Conference Date 2018-12-20 - 2018-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Onomichi City Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Ad-hoc Network, Ubiquitous Network, Wireless Communication, security, Multi-Access Network 
Paper Information
Registration To NS 
Conference Code 2018-12-RCS-NS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Low Bandwidth and High Privacy Surveillance System Architecture Integrating Edge and Cloud Computing 
Sub Title (in English)  
Keyword(1) Edge Computing  
Keyword(2) Cloud Computing  
Keyword(3) Low bandwidth  
Keyword(4) High privacy  
Keyword(5) Surveillance system  
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1st Author's Name Jiaxing Lu  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Kouichirou Amemiya  
2nd Author's Affiliation FUJITSU LIMITED (FUJITSU)
3rd Author's Name Kazuhito Matsuda  
3rd Author's Affiliation FUJITSU LIMITED (FUJITSU)
4th Author's Name Makoto Kubota  
4th Author's Affiliation FUJITSU LIMITED (FUJITSU)
5th Author's Name Akihiro Nakao  
5th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker
Date Time 2018-12-21 10:15:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2018-171 
Volume (vol) IEICE-118 
Number (no) no.371 
Page pp.71-76 
#Pages IEICE-6 
Date of Issue IEICE-NS-2018-12-13 


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