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deception

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🐝 DecoyMini•智能仿真与攻击诱捕工具是基于商业化蜜罐产品积累而推出的免费蜜罐工具。工具支持主流操作系统,安装使用简单,通过一键式导入云端仿真模板库就可以在用户网络快速部署多样化的虚假服务和应用;同时支持采用可视化仿真编排引擎通过界面配置即可实现对自定义的网络协议、服务或应用的仿真能力。通过部署虚假的服务和应用,吸引攻击者进行攻击,在虚假环境中对攻击者行为进行抓取和存储,基于对攻击者的行为分析来实现攻击预警、威胁分析和溯源取证;工具加入了云情报分享激励计划,通过情报和仿真模板的分享用户还可以获得丰厚的奖励。

  • Updated May 5, 2022

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 Oct 18, 2021
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