research-article

Security and Privacy Protection in Visual Sensor Networks: A Survey

Authors:

Thomas Winkler,

Bernhard RinnerAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 1

Article No.: 2, Pages 1 - 42

https://doi.org/10.1145/2545883

Published: 01 May 2014 Publication History

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Abstract

Visual sensor networks (VSNs) are receiving a lot of attention in research, and at the same time, commercial applications are starting to emerge. VSN devices come with image sensors, adequate processing power, and memory. They use wireless communication interfaces to collaborate and jointly solve tasks such as tracking persons within the network. VSNs are expected to replace not only many traditional, closed-circuit surveillance systems but also to enable emerging applications in scenarios such as elderly care, home monitoring, or entertainment. In all of these applications, VSNs monitor a potentially large group of people and record sensitive image data that might contain identities of persons, their behavior, interaction patterns, or personal preferences. These intimate details can be easily abused, for example, to derive personal profiles.

The highly sensitive nature of images makes security and privacy in VSNs even more important than in most other sensor and data networks. However, the direct use of security techniques developed for related domains might be misleading due to the different requirements and design challenges. This is especially true for aspects such as data confidentiality and privacy protection against insiders, generating awareness among monitored people, and giving trustworthy feedback about recorded personal data—all of these aspects go beyond what is typically required in other applications.

In this survey, we present an overview of the characteristics of VSN applications, the involved security threats and attack scenarios, and the major security challenges. A central contribution of this survey is our classification of VSN security aspects into data-centric, node-centric, network-centric, and user-centric security. We identify and discuss the individual security requirements and present a profound overview of related work for each class. We then discuss privacy protection techniques and identify recent trends in VSN security and privacy. A discussion of open research issues concludes this survey.

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Security and Privacy Protection in Visual Sensor Networks: A Survey
1. Security and privacy
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Reviews

Reviewer: Soon Ae Chun

Visual sensor networks (VSNs) consist of devices with image sensors and with processing and networking capabilities, to monitor large quantities of images of people, automobiles, and so on. VSNs amplify the core nature of the surveillance society with widespread application areas such as environmental monitoring, smart homes and meeting rooms, elder care, and assisted living. The network of cameras can collect data that can be analyzed to identify the identities, behaviors, interaction patterns, and personal preferences of individuals. A proper set of security and privacy mechanisms should be understood and implemented for the VSNs. The authors use a holistic approach by categorizing the security requirements and related studies by each component in the VSN, namely, node-centric security, data-centric security, network-centric security, as well as user-centric security. Data-centric security requirements include nonrepudiation and confidentiality, thus protection approaches address data confidentiality, integrity, authenticity, as well as correct timestamping and location requirements. The data-level approaches also address privacy and access authorization to meet the confidentiality requirements. The node-centric security approaches address availability, physical security, and code security requirements. The network-centric security approaches try to address channel security with the network data confidentiality, integrity, availability, and freshness security requirements, as well as the collaboration security requirements to prevent routing attacks, time synchronization attacks, data sharing, and aggregation attacks. The user-centric security approaches handle issues such as user awareness and consent when the user is monitored and his or her data is shared, and feedback and control mechanisms to allow the end users to have a way to provide feedback on the usage or control of their own data. The authors have analyzed and categorized a vast number of publications on VSN security and privacy requirements, issues, and approaches using this holistic approach. This can be a useful resource for academics and students, as well as industry professionals to gain knowledge on the security requirements specific to each component of a VSN and its related security and privacy protection approaches. Online Computing Reviews Service

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Published In

ACM Computing Surveys Volume 47, Issue 1

July 2014

551 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2620784

Issue’s Table of Contents

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Publication History

Published: 01 May 2014

Accepted: 01 November 2013

Revised: 01 July 2013

Received: 01 January 2013

Published in CSUR Volume 47, Issue 1

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Kadhum A(2024)Improved Digital Security Applications for Smart CardInternational Journal of Research In Science & Engineering10.55529/ijrise.42.11.18(11-18)Online publication date: 1-Feb-2024
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De Vaere PStöger FPerrig ATsudik GQuek TGao DZhou JCardenas A(2024)The SA4P Framework: Sensing and Actuation as a PrivilegeProceedings of the 19th ACM Asia Conference on Computer and Communications Security10.1145/3634737.3657006(873-885)Online publication date: 1-Jul-2024
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Zhao RZhang YWen WLan RXiang Y(2024)E-TPE: Efficient Thumbnail-Preserving Encryption for Privacy Protection in Visual Sensor NetworksACM Transactions on Sensor Networks10.1145/359261120:4(1-26)Online publication date: 11-May-2024
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Zhang YJi JWen WZhu YXia ZWeng J(2024)Understanding Visual Privacy Protection: A Generalized Framework With an Instance on Facial PrivacyIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.338957219(5046-5059)Online publication date: 15-Apr-2024
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