行为模式识别与航空安全

B. Seymour
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引用次数: 4

摘要

航空安全面临的新威胁和不断演变的威胁需要创新和主动的解决方案。波士顿洛根国际机场(Logan International Airport)正在采用以色列过去30年来开发的技术为基础的新方法来筛查乘客。行为模式识别是一种基于可疑和欺骗行为而不是基于种族或宗教的乘客特征分析形式。这项技术正在与其他航空安全措施一起使用,试图形成一种更积极主动的方法,以防止未来在美国机场发生恐怖袭击。
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Behavior Pattern Recognition and Aviation Security
Abstract New and evolving threats to aviation security require innovative and proactive solutions. Boston's Logan International Airport is adopting new methods to screen passengers based on techniques developed in Israel over the past 30 years. Behavior pattern recognition is a form of profiling passengers based not on race or religion but on suspicious and deceitful behavior. This technique is being used in addition to other aviation security measures in an attempt to form a more proactive approach to preventing future terrorist attacks at American airports.
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