MANTIS多属性网络恐怖主义识别系统对抗圣战的神经范式

S. Coerr
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引用次数: 0

摘要

本提案的目的是证明创建一类创新的多属性行为签名的可行性和重要性。这些行为特征将为作战人员提供宝贵的工具,用于预测、识别、探测、跟踪和预测跨国恐怖组织成员的活动,无论是国家支持的还是独立的行为者。实现这一目标的主要手段是查明特定的国内和国际行为,然后将这种行为与世界范围的恐怖主义活动联系起来。然后,可以将新识别的行为签名应用于可搜索的、多属性的、网络化的恐怖主义识别系统(以下简称“MANTIS”)。这种应用将是可搜索的、可替代的、可扩展的和响应的,从而利用不同的数据流和知识基础,并允许预测敌人的活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MANTIS Multi-Attribute Networked Terrorism Identification System; A Neural Paradigm for Fighting the Jihad
The objective of this proposal is to demonstrate the feasibility and importance of creating an innovative class of multi-attribute behavior signatures. These behavior signatures will provide an invaluable tool to the warfighter for predicting, identifying, detecting, following, and anticipating the activities of members of transnational terrorist groups, whether state- sponsored or independent actors. The primary means of accomplishing this objective is through the identification of particular domestic and international behavior, followed by a correlation of this conduct to worldwide terrorist activities. The newly identified behavior signatures may then be applied to a searchable, multi-attribute, networked terrorism identification system (hereafter "MANTIS"). An application of this kind will be searchable, fungible, scalable and responsive, thereby leveraging disparate data streams and bases of knowledge and allowing the anticipation of enemy activities.
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