Poster: Video Chat Scam Detection Leveraging Screen Light Reflection
Poster: Video Chat Scam Detection Leveraging Screen Light Reflection
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海报：利用屏幕光反射检测视频聊天诈骗
DOI：
10.1145/3300061.3343403
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Chen, Yingying
中科院分区：
文献类型：
--
作者：
Liu, Hongbo;Li, Zhihua;Xie, Yucheng;Jiang, Ruizhe;Wang, Yan;Guo, Xiaonan;Chen, Yingying
社交媒体和通信技术的快速发展使视频聊天成为日常交流的重要和便捷方式。然而，这样的便利性也使得个人视频片段很容易被恶意用户获取并利用，从而发动诈骗攻击。现有的研究仅针对使用伪造面具的攻击，而针对使用虚拟摄像机的回放攻击的活性检测仍然是难以捉摸的。在这项工作中，我们开发了一种新的视频聊天活性检测系统，它可以跟踪微弱的光的变化，利用彩色本征空间差异的人脸皮肤反射。我们设计了一个不显眼的挑战帧，以最小的干预，视频聊天和开发一个强大的异常帧检测器，以验证在视频聊天会话中的远程用户的活跃性。此外，我们提出了一个弹性防御策略，以击败天真和智能播放攻击，利用空间和时间验证。评估结果表明，我们的系统可以实现准确和强大的活性检测的准确率和误检率高达97.7%（94.8%）和1%（1.6%）的智能手机（笔记本电脑），分别。
The rapid advancement of social media and communication technology enables video chat to become an important and convenient way of daily communication. However, such convenience also makes personal video clips easily obtained and exploited by malicious users who launch scam attacks. Existing studies only deal with the attacks that use fabricated facial masks, while the liveness detection that targets the playback attacks using a virtual camera is still elusive. In this work, we develop a novel video chat liveness detection system, which can track the weak light changes reflected off the skin of a human face leveraging chromatic eigenspace differences. We design an inconspicuous challenge frame with minimal intervention to the video chat and develop a robust anomaly frame detector to verify the liveness of remote user in a video chat session. Furthermore, we propose a resilient defense strategy to defeat both naive and intelligent playback attacks leveraging spatial and temporal verification. The evaluation results show that our system can achieve accurate and robust liveness detection with the accuracy and false detection rate as high as 97.7% (94.8%) and 1% (1.6%) on smartphones (laptops), respectively.
Hodrick-Prescott 滤波器、Slutzky 效应和滤波器的失真效果
影响因子：
1.9
作者：
T. Pedersen
通讯作者：
T. Pedersen