A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems

A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems

Visual sensor networks (VSNs) provide surveillance images/video which must be protected from eavesdropping and tampering en route to the base station. In the spirit of sensor networks, we propose a novel paradigm for securing privacy and confidentiality in a distributed manner. Our paradigm is based...

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Bibliographic Details
Main Authors: Takis Zourntos, Deepa Kundur, William Luh
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/21646
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spelling doaj-e6b02b8093a140fb9ef56721c9dd76912020-11-24T21:10:30ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/21646A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical SystemsTakis ZourntosDeepa KundurWilliam LuhVisual sensor networks (VSNs) provide surveillance images/video which must be protected from eavesdropping and tampering en route to the base station. In the spirit of sensor networks, we propose a novel paradigm for securing privacy and confidentiality in a distributed manner. Our paradigm is based on the control of dynamical systems, which we show is well suited for VSNs due to its low complexity in terms of processing and communication, while achieving robustness to both unintentional noise and intentional attacks as long as a small subset of nodes are affected. We also present a low complexity algorithm called TANGRAM to demonstrate the feasibility of applying our novel paradigm to VSNs. We present and discuss simulation results of TANGRAM. http://dx.doi.org/10.1155/2007/21646
collection DOAJ
language English
format Article
sources DOAJ
author Takis Zourntos
Deepa Kundur
William Luh
spellingShingle Takis Zourntos
Deepa Kundur
William Luh
A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
EURASIP Journal on Advances in Signal Processing
author_facet Takis Zourntos
Deepa Kundur
William Luh
author_sort Takis Zourntos
title A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
title_short A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
title_full A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
title_fullStr A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
title_full_unstemmed A Novel Distributed Privacy Paradigm for Visual Sensor Networks Based on Sharing Dynamical Systems
title_sort novel distributed privacy paradigm for visual sensor networks based on sharing dynamical systems
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description Visual sensor networks (VSNs) provide surveillance images/video which must be protected from eavesdropping and tampering en route to the base station. In the spirit of sensor networks, we propose a novel paradigm for securing privacy and confidentiality in a distributed manner. Our paradigm is based on the control of dynamical systems, which we show is well suited for VSNs due to its low complexity in terms of processing and communication, while achieving robustness to both unintentional noise and intentional attacks as long as a small subset of nodes are affected. We also present a low complexity algorithm called TANGRAM to demonstrate the feasibility of applying our novel paradigm to VSNs. We present and discuss simulation results of TANGRAM.
url http://dx.doi.org/10.1155/2007/21646
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