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Using behavior analysis algorithms to anticipate security threats before they impact mission critical operations

机译:使用行为分析算法预测安全威胁,在他们影响关键任务操作之前

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The objective of this research is to identify, develop, adapt, prototype, integrate and demonstrate open access force protection and security technologies and processes. The goal is to provide more open public access to recreational and other non-restricted facilities on military bases and to improve the overall base safety and security utilizing advanced video and signal based surveillance. A testbed was created at the Pacific Missile Range Facility (PMRF), Kauai, Hawaii to demonstrate novel and innovative security solutions that serve these objectives. The testbed consists of (1) novel sensors (video cameras, radio frequency identification tags, and seismic, lidar, microwave, and infrared sensors), (2) a computer, data storage, and network infrastructure, and (3) behavior analysis software. The behavior analysis software identifies patterns of behavior and discriminates “normal” and “anomalous” behavior in order to anticipate and predict threats so that they can be interdicted before they impact mission critical operations or cause harm to people and infrastructure.
机译:本研究的目的是识别,开发,调整,原型,整合和展示开放式访问力保护和安全技术和流程。目标是提供更开放的公众对军事基地的娱乐和其他非限制设施,并利用高级视频和信号监视来改善整体基础安全性和安全性。在太平洋导弹园区设施(PMRF),考艾岛,夏威夷创造了一个试验台,以展示新的和创新的安全解决方案,即服务于这些目标。试验台由(1)新颖的传感器(摄像机,射频识别标签和地震,LIDAR,微波和红外传感器组成),(2)计算机,数据存储和网络基础设施,以及(3)行为分析软件。行为分析软件识别行为模式,并辨别“正常”和“异常”行为,以预测和预测威胁,以便在他们影响任务关键业务或对人和基础设施造成伤害之前可以被禁止。

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