A distributed storage system for robust, privacy-preserving surveillance cameras

Jiaping Yu; Haiwen Chen; Kui Wu; Zhiping Cai; Jinhua Cui

doi:10.1109/ICDCS47774.2020.00189

A distributed storage system for robust, privacy-preserving surveillance cameras

Jiaping Yu
, Haiwen Chen
, Kui Wu
, Zhiping Cai
, Jinhua Cui

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

9 Citations (Scopus)

Abstract

Surveillance cameras have been extensively used in smart cities and high security zones. Recent incidents have posed a new, powerful geo-range attack, where the attacker may compromise a group of surveillance cameras located within an area. To tackle the problem, we develop a distributed camera storage system that distributes video content across geographically dispersed surveillance cameras. It generates secure copies for the video content and enhances robustness by judiciously distributing erasure coded video blocks across optimally-chosen surveillance cameras. We implement the distributed storage system for surveillance cameras and evaluate its performance via real-world field test. Our system is the first solution that can defend against geo-range attacks in a robust and privacy-preserving manner. © 2020 IEEE.

Original language	English
Title of host publication	Proceedings - 2020 IEEE 40^th International Conference on Distributed Computing Systems (ICDCS 2020)
Place of Publication	Los Alamitos, Calif.
Publisher	IEEE
Pages	1195-1196
ISBN (Electronic)	9781728170022
ISBN (Print)	9781728170039
DOIs	https://doi.org/10.1109/ICDCS47774.2020.00189
Publication status	Published - Nov 2020
Externally published	Yes
Event	40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020) - Virtual, Singapore Duration: 29 Nov 2020 → 1 Dec 2020 Conference number: 40 https://icdcs2020.sg/

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems
Volume	2020-November
ISSN (Print)	1063-6927
ISSN (Electronic)	2575-8411

Conference

Conference	40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020)
Abbreviated title	ICDCS'20
Place	Singapore
Period	29/11/20 → 1/12/20
Internet address	https://icdcs2020.sg/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Research Keywords

Distributed Storage
Geo-Range Attacks
Surveillance Cameras

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10.1109/ICDCS47774.2020.00189

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Yu, J., Chen, H., Wu, K., Cai, Z., & Cui, J. (2020). A distributed storage system for robust, privacy-preserving surveillance cameras. In Proceedings - 2020 IEEE 40^th International Conference on Distributed Computing Systems (ICDCS 2020) (pp. 1195-1196). Article 9355686 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November). IEEE. https://doi.org/10.1109/ICDCS47774.2020.00189

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abstract = "Surveillance cameras have been extensively used in smart cities and high security zones. Recent incidents have posed a new, powerful geo-range attack, where the attacker may compromise a group of surveillance cameras located within an area. To tackle the problem, we develop a distributed camera storage system that distributes video content across geographically dispersed surveillance cameras. It generates secure copies for the video content and enhances robustness by judiciously distributing erasure coded video blocks across optimally-chosen surveillance cameras. We implement the distributed storage system for surveillance cameras and evaluate its performance via real-world field test. Our system is the first solution that can defend against geo-range attacks in a robust and privacy-preserving manner. {\textcopyright} 2020 IEEE.",

keywords = "Distributed Storage, Geo-Range Attacks, Surveillance Cameras",

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year = "2020",

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language = "English",

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note = "40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020), ICDCS'20 ; Conference date: 29-11-2020 Through 01-12-2020",

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Yu, J, Chen, H, Wu, K, Cai, Z & Cui, J 2020, A distributed storage system for robust, privacy-preserving surveillance cameras. in Proceedings - 2020 IEEE 40^th International Conference on Distributed Computing Systems (ICDCS 2020)., 9355686, Proceedings - International Conference on Distributed Computing Systems, vol. 2020-November, IEEE, Los Alamitos, Calif., pp. 1195-1196, 40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020), Singapore, 29/11/20. https://doi.org/10.1109/ICDCS47774.2020.00189

A distributed storage system for robust, privacy-preserving surveillance cameras. / Yu, Jiaping; Chen, Haiwen; Wu, Kui et al.
Proceedings - 2020 IEEE 40^th International Conference on Distributed Computing Systems (ICDCS 2020). Los Alamitos, Calif.: IEEE, 2020. p. 1195-1196 9355686 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A distributed storage system for robust, privacy-preserving surveillance cameras

AU - Yu, Jiaping

AU - Chen, Haiwen

AU - Wu, Kui

AU - Cai, Zhiping

AU - Cui, Jinhua

N1 - Conference code: 40

PY - 2020/11

Y1 - 2020/11

N2 - Surveillance cameras have been extensively used in smart cities and high security zones. Recent incidents have posed a new, powerful geo-range attack, where the attacker may compromise a group of surveillance cameras located within an area. To tackle the problem, we develop a distributed camera storage system that distributes video content across geographically dispersed surveillance cameras. It generates secure copies for the video content and enhances robustness by judiciously distributing erasure coded video blocks across optimally-chosen surveillance cameras. We implement the distributed storage system for surveillance cameras and evaluate its performance via real-world field test. Our system is the first solution that can defend against geo-range attacks in a robust and privacy-preserving manner. © 2020 IEEE.

AB - Surveillance cameras have been extensively used in smart cities and high security zones. Recent incidents have posed a new, powerful geo-range attack, where the attacker may compromise a group of surveillance cameras located within an area. To tackle the problem, we develop a distributed camera storage system that distributes video content across geographically dispersed surveillance cameras. It generates secure copies for the video content and enhances robustness by judiciously distributing erasure coded video blocks across optimally-chosen surveillance cameras. We implement the distributed storage system for surveillance cameras and evaluate its performance via real-world field test. Our system is the first solution that can defend against geo-range attacks in a robust and privacy-preserving manner. © 2020 IEEE.

KW - Distributed Storage

KW - Geo-Range Attacks

KW - Surveillance Cameras

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U2 - 10.1109/ICDCS47774.2020.00189

DO - 10.1109/ICDCS47774.2020.00189

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781728170039

T3 - Proceedings - International Conference on Distributed Computing Systems

SP - 1195

EP - 1196

BT - Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS 2020)

PB - IEEE

CY - Los Alamitos, Calif.

T2 - 40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020)

Y2 - 29 November 2020 through 1 December 2020

ER -

Yu J, Chen H, Wu K, Cai Z, Cui J. A distributed storage system for robust, privacy-preserving surveillance cameras. In Proceedings - 2020 IEEE 40^th International Conference on Distributed Computing Systems (ICDCS 2020). Los Alamitos, Calif.: IEEE. 2020. p. 1195-1196. 9355686. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS47774.2020.00189

A distributed storage system for robust, privacy-preserving surveillance cameras

Abstract

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UN SDGs

Research Keywords

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