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首页> 外文会议>2016 IEEE Asian Hardware-Oriented Security and Trust >A new event-driven Dynamic Vision Sensor based Physical Unclonable Function for camera authentication in reactive monitoring system
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A new event-driven Dynamic Vision Sensor based Physical Unclonable Function for camera authentication in reactive monitoring system

机译：基于事件驱动的新动态视觉传感器基于物理不可克隆功能，用于反应监控系统中的摄像机身份验证

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Surveillance footage has become an integral part of law enforcement as video cameras become ubiquitous, affordable and more reliable. Dynamic vision sensor (DVS) emerges as a new sensing technology that outsmarts existing static CMOS image sensors in vision-enabled traffic monitoring, assisted living and high-speed target tracking for its low latency, high temporal resolution and wide dynamic range under uncontrolled illumination. Instead of recording a steady stream of snapshots taken at a fixed rate, DVS responds only to temporal contrast and records only sparse asynchronous address-events with precise timing information. However, the accountability of the footage captured is incomplete if the cue is triggered by an unidentified device. One effective way to eliminate the anonymity is to build a random oracle out of the DVS sensor and use its authenticity as a root of trust to protect the integrity of the footage. In this paper, we present the first ever event-based physical unclonable function (PUF) for DVS camera identification and secret key generation in reactive monitoring system. A non-intrusive PUF response readout scheme is proposed by exploiting the two unique reset switches, one continuous-timed and one self-timed, of DVS pixel to enable simultaneous generation of PUF response with non-disruptive output of asynchronous address-events. Only three transistors are added to each pixel to isolate the PUF response readout and to prevent the spontaneously detected DVS events from interfering with the PUF operation, which is also triggered by the reflectance change in the scene. Our simulation results based on 1.8V 180nm CMOS technology show that the raw response generated by the proposed event-driven DVS-based PUF has near ideal uniqueness of 49.96%, and worst-case reliability of 96.3% and 99.2% for variations of temperature from -35~115°C and supply voltage from 1.6~2.0V, respectively. Its randomness has also been attested by the NIST tests.
机译：随着摄像机变得无处不在，负担得起并且更加可靠，监视录像已成为执法工作不可或缺的一部分。动态视觉传感器（DVS）作为一种新的传感技术而出现，其在具有视觉功能的交通监控，辅助生活和高速目标跟踪方面比现有的静态CMOS图像传感器更智能，其低延迟，高时间分辨率和在不受控制的照明条件下具有宽动态范围。 DVS不会记录固定速率的稳定快照，而是仅对时间对比作出响应，并且仅记录具有精确定时信息的稀疏异步地址事件。但是，如果提示由未识别的设备触发，则捕获的素材的责任性不完整。消除匿名性的一种有效方法是在DVS传感器之外构建一个随机预言机，并以其真实性作为信任的根源来保护素材的完整性。在本文中，我们提出了有史以来第一个基于事件的物理不可克隆功能（PUF），用于DVS摄像机识别和被动监控系统中的密钥生成。通过利用DVS像素的两个独特的复位开关（一个连续定时和一个自定时），提出了一种非侵入式PUF响应读出方案，以实现同时生成PUF响应和异步地址事件的无中断输出。仅将三个晶体管添加到每个像素，以隔离PUF响应读数并防止自发检测到的DVS事件干扰PUF操作，这也由场景中的反射率变化触发。我们基于1.8V 180nm CMOS技术的仿真结果表明，所提出的基于事件驱动的基于DVS的PUF所产生的原始响应具有49.96％的近乎理想的唯一性，而温度变化引起的最坏情况下的可靠性分别为96.3％和99.2％ -35〜115°C，电源电压分别为1.6〜2.0V。 NIST测试也证明了其随机性。

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