Methodology for platform IO vulnerability assessment

R.L. zum Brunnen, P. Ciolek, F.T. Beale
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引用次数: 1

Abstract

The Survivability/Lethality Analysis Directorate (SLAD), US Army Research Laboratory (ARL) has been tasked with the responsibility to develop a methodology and program for use in the assessment of the vulnerabilities made possible with the internal integration C4I systems on major weapons platforms e.g.: M1A2 Abrams Main Battle Tank, AH-64 Apache Attack Helicopter, etc. The ultimate goal of this program is to develop an integrated methodology and toolset that can be used to identify and assess vulnerabilities of integrated C4I systems. The information operations vulnerability/survivability assessment (IOVSA) is a process of analytical steps, which the SLAD of the ARL applies to networked automated information systems (INFOSYS) of military interest. The goal of SLAD's information system survivability tools, techniques, and methodology (TTM) development program is to generate predictive computer models that predict, as closely as is reasonably possible, the real world observed behavior of specific information processor properties caused by various real world stimuli using an agreed upon set of metrics. These stimuli range from normal network operations to the stressing stimuli caused by various software errors, hardware errors, and the multitude of the different forms of intentional or unintentional misuse and hostile attacks to which an information processor may be subjected.
平台IO漏洞评估方法
美国陆军研究实验室(ARL)生存性/杀伤力分析局(SLAD)已被委以责任,开发一种方法和程序,用于主要武器平台(如M1A2“艾布拉姆斯”主战坦克、AH-64“阿帕奇”攻击直升机等)上的内部集成C4I系统的脆弱性评估。该项目的最终目标是开发一种集成的方法和工具集,可用于识别和评估集成C4I系统的漏洞。信息作战脆弱性/生存能力评估(IOVSA)是一个分析步骤的过程,ARL的SLAD将其应用于军事利益的网络自动化信息系统(INFOSYS)。SLAD的信息系统生存能力工具、技术和方法(TTM)开发项目的目标是生成预测计算机模型,这些模型尽可能接近于使用商定的一组度量标准,预测由各种现实世界刺激引起的特定信息处理器属性的实际观察行为。这些刺激的范围从正常的网络操作到各种软件错误、硬件错误以及信息处理器可能遭受的多种不同形式的有意或无意的误用和恶意攻击所引起的压力刺激。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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