short-paper

Public Video Surveillance: Using the Fog to Increase Privacy

Authors:

Martin Grambow,

Jonathan Hasenburg,

David BermbachAuthors Info & Claims

M4IoT'18: Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things

Pages 11 - 14

https://doi.org/10.1145/3286719.3286722

Published: 10 December 2018 Publication History

Get Access

Abstract

In public video surveillance, there is an inherent conflict between public safety goals and privacy needs of citizens. Generally, societies tend to decide on middleground solutions that sacrifice neither safety nor privacy goals completely. In this paper, we propose an alternative to existing approaches that rely on cloud-based video analysis. Our approach leverages the inherent geo-distribution of fog computing to preserve privacy of citizens while still supporting camera-based digital manhunts of law enforcement agencies.

References

[1]

David Bermbach, Frank Pallas, David Garcia Perez, Pierluigi Plebani, Maya Anderson, Ronen Kat, and Stefan Tai. 2018. A Research Perspective on Fog Computing. In Proc. of ISYCC. Springer.

Digital Library

Google Scholar

[2]

Sebastian Bretthauer and Erik Krempel. 2014. Videomonitoring zur Sturzdetektion und Alarmierung-Eine technische und rechtliche Analyse. Proc. of IRIS.

Google Scholar

[3]

Ankur Chattopadhyay and Terrance E Boult. 2007. Privacycam: a privacy preserving camera using uclinux on the blackfin dsp. In Proc. of CVPR. IEEE.

Crossref

Google Scholar

[4]

E-Hualu. 2017. Xueliang Project Solution. Retrieved June 27, 2017 from http://www.ehualu.com/en/Article/index/id/841/aid/12508137

Google Scholar

[5]

Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stefan Katzenbeisser, Inald Lagendijk, and Tomas Toft. 2009. Privacy-preserving face recognition. In Proc. of PETS. Springer.

Digital Library

Google Scholar

[6]

Zac Johnson. 2017. How Closed Circuit TV and Artificial Intelligence Are Making Moscow Safer. Retrieved November 30, 2017 from https://tech.co/how-cctv-ai-are-making-moscow-safer-2017-11

Google Scholar

[7]

Mahadev Satyanarayanan, Zhuo Chen, Kiryong Ha, Wenlu Hu, Wolfgang Richter, and Padmanabhan Pillai. 2014. Cloudlets: at the leading edge of mobile-cloud convergence. In Proc. of MobiCASE. IEEE.

Crossref

Google Scholar

[8]

Thomas Winkler and Bernhard Rinner. 2010. Trustcam: Security and privacy-protection for an embedded smart camera based on trusted computing. In Proc. of AVSS. IEEE.

Digital Library

Google Scholar

[9]

Wei Zhang, Sen-Ching S Cheung, and Minghua Chen. 2005. Hiding privacy information in video surveillance system. In Proc. of ICIP. IEEE.

Crossref

Google Scholar

Cited By

View all

Wang MSchirmer TPfandzelter TBermbach DDing AAral AHilt V(2024)ShutPubProceedings of the 7th International Workshop on Edge Systems, Analytics and Networking10.1145/3642968.3654815(13-18)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3642968.3654815
Mondal MMandal RBanerjee SBiswas ULin JAlfarraj OTolba A(2023)Design and Development of a Fog-Assisted Elephant Corridor over a Railway TrackSustainability10.3390/su1507594415:7(5944)Online publication date: 29-Mar-2023
https://doi.org/10.3390/su15075944
Wang MSchirmer TPfandzelter TBermbach DDing APeltonen EHilt VAral A(2023)Lotus: Serverless In-Transit Data Processing for Edge-based Pub/SubProceedings of the 6th International Workshop on Edge Systems, Analytics and Networking10.1145/3578354.3592869(31-35)Online publication date: 8-May-2023
https://dl.acm.org/doi/10.1145/3578354.3592869
Show More Cited By

Index Terms

Public Video Surveillance: Using the Fog to Increase Privacy
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Social and professional topics
  1. Computing / technology policy
    1. Surveillance
      1. Governmental surveillance

Recommendations

Cloud, Fog, or Mist in IoT? That Is the Question
Special Issue on Fog, Edge, and Cloud Integration

Internet of Things (IoT) has been commercially explored as Platforms as a Services (PaaS). The standard solution for this kind of service is to combine the Cloud computing infrastructure with IoT software, services, and protocols also known as CoT (...
A Pattern for Fog Computing
VikingPLoP '16: Proceedings of the 10th Travelling Conference on Pattern Languages of Programs

Fog Computing is a new variety of the cloud computing paradigm that brings virtualized cloud services to the edge of the network to control the devices in the IoT. We present a pattern for fog computing which describes its architecture, including its ...
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Abstract
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

M4IoT'18: Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things

December 2018

51 pages

ISBN:9781450361187

DOI:10.1145/3286719

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 December 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

Middleware '18

Sponsor:

ACM
USENIX Assoc
IFIP

Middleware '18: 19th International Middleware Conference

December 10 - 11, 2018

Rennes, France

Acceptance Rates

Overall Acceptance Rate 10 of 18 submissions, 56%

Upcoming Conference

MIDDLEWARE '24

25th International Middleware Conference

December 2 - 6, 2024

Hong Kong , Hong Kong

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
223
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Wang MSchirmer TPfandzelter TBermbach DDing AAral AHilt V(2024)ShutPubProceedings of the 7th International Workshop on Edge Systems, Analytics and Networking10.1145/3642968.3654815(13-18)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3642968.3654815
Mondal MMandal RBanerjee SBiswas ULin JAlfarraj OTolba A(2023)Design and Development of a Fog-Assisted Elephant Corridor over a Railway TrackSustainability10.3390/su1507594415:7(5944)Online publication date: 29-Mar-2023
https://doi.org/10.3390/su15075944
Wang MSchirmer TPfandzelter TBermbach DDing APeltonen EHilt VAral A(2023)Lotus: Serverless In-Transit Data Processing for Edge-based Pub/SubProceedings of the 6th International Workshop on Edge Systems, Analytics and Networking10.1145/3578354.3592869(31-35)Online publication date: 8-May-2023
https://dl.acm.org/doi/10.1145/3578354.3592869
Badidi EMoumane KGhazi F(2023)Opportunities, Applications, and Challenges of Edge-AI Enabled Video Analytics in Smart Cities: A Systematic ReviewIEEE Access10.1109/ACCESS.2023.330065811(80543-80572)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3300658
Pfandzelter TJapke NSchirmer THasenburg JBermbach D(2023)Managing data replication and distribution in the fog with FReDSoftware: Practice and Experience10.1002/spe.323753:10(1958-1981)Online publication date: 11-Jul-2023
https://doi.org/10.1002/spe.3237
Pfandzelter TBermbach D(2022)QoS-Aware Resource Placement for LEO Satellite Edge Computing2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)10.1109/ICFEC54809.2022.00016(66-72)Online publication date: May-2022
https://doi.org/10.1109/ICFEC54809.2022.00016
Lachner CMann ZDustdar S(2021)Towards Understanding the Adaptation Space of AI-Assisted Data Protection for Video Analytics at the Edge2021 IEEE 41st International Conference on Distributed Computing Systems Workshops (ICDCSW)10.1109/ICDCSW53096.2021.00009(7-12)Online publication date: Jul-2021
https://doi.org/10.1109/ICDCSW53096.2021.00009
Grambow MPfandzelter TBurchard LSchubert CZhao MBermbach D(2021)BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms2021 IEEE International Conference on Cloud Engineering (IC2E)10.1109/IC2E52221.2021.00014(1-8)Online publication date: Oct-2021
https://doi.org/10.1109/IC2E52221.2021.00014
Dave MRastogi VMiglani MSaharan PGoyal N(2021)Smart Fog-Based Video Surveillance with Privacy Preservation based on BlockchainWireless Personal Communications10.1007/s11277-021-09426-8124:2(1677-1694)Online publication date: 29-Nov-2021
https://doi.org/10.1007/s11277-021-09426-8
Orellana BÁlvarez LArmas-Aguirre J(2021)Face Recognition for Criminal IdentificationProceedings of the 6th Brazilian Technology Symposium (BTSym’20)10.1007/978-3-030-75680-2_41(368-377)Online publication date: 15-Jun-2021
https://doi.org/10.1007/978-3-030-75680-2_41
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Cloud, Fog, or Mist in IoT? That Is the Question

A Pattern for Fog Computing

All one needs to know about fog computing and related edge computing paradigms: A complete survey