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Toward improved software security testing using a cyber warfare opposing force (CW OPFOR): the knowledge base design

机译:使用网络战对抗部队(CW OPFOR)进行改进的软件安全测试:知识库设计

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"Train the way you will fight" has been a guiding principle for military training and has served the warfighter well as evidenced by numerous successful operations over the last decade. This need for realistic training for all combatants has been recognized and proven by the warfighter and continues to guide military training. However, to date, this key training principle has not been applied fully in the arena of cyberwarfare due to the lack of realistic, cost effective, reasonable, and formidable cyberwarfare opponents. Recent technological advances, improvements in the capability of computer-generated forces (CGFs) to emulate human behavior, and current results in research in information assurance and software protection, coupled with increasing dependence upon information superiority, indicate that the cyberbattlespace will be a key aspect of future conflict and that it is time to address the cyberwarfare training shortfall. To address the need for a cyberwarfare training and defensive testing capability, we propose research and development to yield a prototype computerized, semi-autonomous (SAF) red team capability. We term this capability the Cyber Warfare Opposing Force (CW OPFOR). There are several technologies that are now mature enough to enable, for the first time, the development of this powerful, effective, high fidelity CW OPFOR. These include improved knowledge about cyberwarfare attack and defense, improved techniques for assembling CGFs, improved techniques for capturing and expressing knowledge, software technologies that permit effective rapid prototyping to be effectively used on large projects, and the capability for effective hybrid reasoning systems. Our development approach for the CW OPFOR lays out several phases in order to address these requirements in an orderly manner and to enable us to test the capabilities of the CW OPFOR and exploit them as they are developed. We have completed the first phase of the research project, which consisted of developing an understanding of the cyberwarfare environment and categorizing offensive cyberwarfare strategies and techniques. In the second phase of the research project, which is the centerpiece of this paper, we developed and refined the system software architecture and system design and developed and revised a knowledge base design. In the third phase, which will be the subject of future research reports, we will implement a prototype CW OPFOR and test and evaluate its performance within realistic experiments. The second phase of the CW OPFOR research project is a key step; one that will determine the scalability, utility, and maintainability of the CWOPFOR. For the CW OPFOR, software development and knowledge acquisition must be key activities and must be conducted so that the CW OPFOR has the ability to adapt and incorporate research results and cyberbattlespace insights. This paper will discuss the key aspects of these two parallel knowledge base design efforts as well as discuss the CW OPFOR software architecture and design. The paper is organized as follows. Section One presents a discussion concerning the motivation for the CW OPFOR project, the need for the capability, and the expected results. Section Two contains a discussion of background material. Section Three contains an overview discussion of the CW OPFOR knowledge base design and the key design choices and alternatives considered at each choice. Section Four contains a discussion of conclusions and future work.
机译:“以战斗的方式训练”一直是军事训练的指导原则,并为战士提供了良好的服务,过去十年来许多成功的行动证明了这一点。战斗人员已经意识到并证明了对所有战斗人员进行现实训练的需要,并继续指导军事训练。但是,由于缺乏现实,具有成本效益,合理和强大的网络战对手,该关键培训原则迄今尚未在网络战领域得到充分应用。最近的技术进步,计算机生成部队(CGF)模仿人类行为的能力的提高以及信息保证和软件保护方面的研究成果,以及对信息优势的日益依赖,都表明网络战空间将是一个关键方面未来冲突,现在该是解决网络战训练不足的时候了。为了满足对网络战训练和防御测试能力的需求,我们建议进行研发以产生原型计算机化半自动(SAF)红队能力。我们将这种能力称为“网络战对抗部队”(CW OPFOR)。现在有几项技术已经足够成熟,可以首次实现这种强大,有效,高保真度的CW OPFOR的开发。其中包括对网络战攻防知识的改进,对CGF的组装技术的改进,捕获和表达知识的改进技术,允许在大型项目中有效使用有效快速原型的软件技术以及有效的混合推理系统的能力。我们针对CW OPFOR的开发方法分为几个阶段,以便有序解决这些要求,并使我们能够测试CW OPFOR的功能并在开发时加以利用。我们已经完成了研究项目的第一阶段,其中包括对网络战环境的理解以及对进攻性网络战的策略和技术进行分类。在研究项目的第二阶段,这是本文的重点,我们开发和完善了系统软件体系结构和系统设计,并开发和修订了知识库设计。在第三阶段(这将是将来的研究报告的主题),我们将实现CW OPFOR原型,并在实际实验中测试和评估其性能。 CW OPFOR研究项目的第二阶段是关键一步;这将决定CWOPFOR的可伸缩性,实用性和可维护性。对于CW OPFOR,软件开发和知识获取必须是关键活动,并且必须进行,以使CW OPFOR具有适应和整合研究结果和网络战场见解的能力。本文将讨论这两个并行知识库设计工作的关键方面,并讨论CW OPFOR软件体系结构和设计。本文的结构如下。第一节介绍了有关CW OPFOR项目的动机,能力需求和预期结果的讨论。第二部分讨论了背景材料。第三部分包含对CW OPFOR知识库设计以及关键设计选择和每种选择所考虑的替代方案的概述性讨论。第四节讨论结论和未来的工作。

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