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Security and Privacy Protection in Visual Sensor Networks: A Survey

机译:视觉传感器网络中的安全性和隐私保护:一项调查

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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.
机译:视觉传感器网络(VSN)在研究中引起了很多关注,与此同时,商业应用也开始出现。 VSN设备带有图像传感器,足够的处理能力和内存。他们使用无线通信接口进行协作并共同解决诸如跟踪网络中人员的任务。预计VSN不仅将取代许多传统的闭路监视系统,还将在老年人护理,家庭监视或娱乐等场景中实现新兴应用。在所有这些应用程序中,VSN监视潜在的一大群人并记录敏感的图像数据,其中可能包含人的身份,其行为,交互模式或个人喜好。这些内在的细节很容易被滥用,例如,获取个人资料。图像的高度敏感特性使VSN中的安全性和隐私性比大多数其他传感器和数据网络更为重要。但是,由于不同的要求和设计挑战,直接使用为相关领域开发的安全技术可能会产生误导。对于数据机密性和针对内部人员的隐私保护,在受监视的人员中产生意识并提供有关已记录的个人数据的可信赖反馈等方面而言尤其如此-所有这些方面都超出了其他应用程序通常所要求的范围。概述了VSN应用程序的特征,所涉及的安全威胁和攻击情形以及主要的安全挑战。这项调查的主要贡献是我们将VSN安全方面分为以数据为中心,以节点为中心,以网络为中心和以用户为中心的安全性。我们确定并讨论了各个安全要求,并对每个班级的相关工作进行了深入的概述。然后,我们讨论隐私保护技术,并确定VSN安全和隐私的最新趋势。对开放研究问题的讨论结束了本调查。

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