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Secure privacy vault design for distributed multimedia surveillance system

机译:分布式多媒体监控系统的安全隐私库设计

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摘要

Distributed multimedia surveillance systems utilize heterogeneous sensors such as cameras, motion sensors, sound sensors, and RFID in order to provide safety and security to people. However, due to the potential of exposing privacy by these systems, many people are reluctant to be electronically monitored and suffer from privacy loss. In order to overcome this dilemma, the current surveillance systems should adopt improved privacy preservation (i.e. hiding people's face) mechanism while they are used for typical surveillance tasks. This paper takes a holistic approach to identify the different privacy leakage channels in the distributed video surveillance context and proposes the design of a secure privacy vault to conceal privacy-sensitive data obtained from distributed visual sensors. It also shows how the proposed solution helps to mitigate the potential privacy leakage problems at different levels of the leakage channels. In order to demonstrate the viability of the proposed approach, we further provide the privacy leakage attack model as well as the security analysis of the proposed solution.
机译:分布式多媒体监视系统利用异构传感器(例如摄像机,运动传感器,声音传感器和RFID)来为人们提供安全保障。但是,由于这些系统可能会暴露隐私,因此许多人不愿接受电子监控并遭受隐私损失。为了克服这一难题,当前的监视系统在用于典型监视任务时应采用改进的隐私保护(即遮盖人脸)机制。本文采用整体方法来识别分布式视频监视环境中的不同隐私泄漏渠道,并提出了一种安全隐私库的设计,以隐藏从分布式视觉传感器获得的隐私敏感数据。它还显示了所提出的解决方案如何帮助缓解泄漏通道不同级别上的潜在隐私泄漏问题。为了证明所提出方法的可行性,我们进一步提供了隐私泄漏攻击模型以及所提出解决方案的安全性分析。

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