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) NS2018-171 |
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 |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NS2018-171 |
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) |
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Keyword(1) |
Edge Computing |
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Cloud Computing |
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Low bandwidth |
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High privacy |
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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 |
Author-1 |
Date Time |
2018-12-21 10:15:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2018-171 |
Volume (vol) |
vol.118 |
Number (no) |
no.371 |
Page |
pp.71-76 |
#Pages |
6 |
Date of Issue |
2018-12-13 (NS) |
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