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deception

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Seccome Teamer积累十几年的安全经验,都将对外逐步开放,首开的Ehoney欺骗防御系统,该系统是基于云原生的欺骗防御系统,也是业界唯一开源的对标商业系统的产品,欺骗防御系统通过部署高交互高仿真蜜罐及流量代理转发,再结合自研密签及诱饵,将攻击者攻击引导到蜜罐中达到扰乱引导以及延迟攻击的效果,可以很大程度上保护业务的安全。护网必备良药

  • Updated Jul 21, 2021
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Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.

  • Updated Jun 22, 2021
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