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The Use of Signals Intelligence in Offensive Cyberspace Operations: An Anticipatory Ethical Analysis

机译:在攻击性网络空间运算中使用信号智能:预期的道德分析

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This paper discusses the anticipatory ethical and social issues associated with the use of signals intelligence in support of offensive cyberspace operations. Real time raw signals intelligence analytics is quickly becoming an imperative to defending forward in cyberspace (that is, to predict, detect, and deter cyber threats before they reach their intended targets). Signals intelligence analytics in support of offensive cyberspace operations requires, however, the development and integration of a wide variety of new artificial intelligence and machine learning technologies capable of handling data across networks and at different levels of classification. In this article we pose that understanding how signals intelligence collection and processing technologies will be developed, how they will work, and how they will transform the future of offensive cyberspace operations are anticipatory ethical considerations that need further attention by multiple stakeholders--to include military/government, industry and academia involved in development of said technologies--of NATO member states. These stakeholders will need to address an increasing number of anticipatory ethical dillemmas, especially given the sensitivities and complex social ramifications of government entities employing signals intelligence analytics in support of offensive cyberspace operations.
机译:本文讨论了与使用信号智能相关联的预期道德和社会问题,以支持攻击性网络空间运营。实时原始信号智能分析迅速成为在网络空间中辩护的必要条件(即预测,检测,检测和阻止网络威胁在达到预期目标之前)。然而,信号智能分析支持进攻网络空间运营,需要开发和整合各种新的人工智能和机器学习技术,能够跨网络处理数据和不同的分类。在本文中,我们构成了了解如何开发信号情报收集和处理技术,如何运作,以及如何改变进攻网络空间运营的未来是预期的道德考虑因素,这些考虑因素需要多个利益相关者进一步关注 - 包括军队/政府,工业和学术界参与所述技术的发展 - 北约成员国。这些利益攸关方将需要解决越来越多的预期道德探险,特别是鉴于采用信号智能分析的政府实体的敏感性和复杂的社会后果,以支持攻击性网络空间运营。

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