使用行为分析算法在影响关键任务操作之前预测安全威胁

B. Banks, Gary M. Jackson, J. Helly, David N. Chin, T. J. Smith, A. Schmidt, P. Brewer, Roger Medd, D. Masters, Annetta Burger, W. K. Krebs
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引用次数: 6

摘要

这项研究的目的是确定、开发、调整、原型化、集成和演示开放访问部队保护和安全技术和过程。目标是为军事基地提供更多开放的公共娱乐设施和其他不受限制的设施,并利用先进的视频和信号监控来提高基地的整体安全性。在夏威夷考艾岛的太平洋导弹靶场设施(PMRF)建立了一个试验台,以展示服务于这些目标的新颖和创新的安全解决方案。该试验台包括(1)新型传感器(摄像机、射频识别标签、地震、激光雷达、微波和红外传感器),(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,区分“正常”和“异常”行为,以预测和预测威胁,以便在威胁影响关键任务操作或对人员和基础设施造成伤害之前将其拦截。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using behavior analysis algorithms to anticipate security threats before they impact mission critical operations
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.
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