基于网络制造测试平台的网络制造攻击综合分析

Romesh Prasad, Y. Moon
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引用次数: 1

摘要

具有讽刺意味的是,网络制造系统(CMS)很容易受到网络制造攻击,因为它非常有益的进步:与信息和操作实体的无缝集成。除了传统的网络攻击实践之外,针对CMS的攻击者有更大的攻击向量来渗透CMS,并且具有更广泛的最终后果。尽管这个新问题的重要性开始被广泛认识,但实际发生的网络制造攻击(可以提供有用的经验数据)相对较少。此外,最近的研究重点是开发防止或检测网络制造攻击的解决方案。但是,如果首先彻底了解各种攻击的性质,则可以更有效地设计此类解决方案。为了开发针对网络制造攻击的有效解决方案,了解攻击者的动机、攻击行为、攻击模式以及这些攻击的影响是至关重要的。通过对网络制造攻击进行深入调查,识别攻击造成的漏洞,并在受控的CMS环境中进行攻击实验,可以实现对网络制造攻击的全面分析。本研究提出了如何利用网络制造试验台来实现上述目标。它通过完成四项任务来实现这一目标。首先,建立了网络制造系统试验台。其次,在设计的测试台上识别攻击面,并对可以渗透到已建立的测试台上的网络攻击进行了深入的调查。在第二个任务的基础上,它开发了一个排名系统。最后,基于排名系统,在网络制造测试平台上对高影响攻击场景进行了识别、论证和分析。
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Comprehensive Analysis of Cyber-Manufacturing Attacks Using a Cyber-Manufacturing Testbed
Cyber-Manufacturing Systems (CMS) are vulnerable to cyber-manufacturing attacks ironically because of its very beneficial advance: seamless integration with informational and operational entities. Beyond traditional cyber-attack practices, attackers against CMS have an enlarged attack vectors to penetrate CMS through and have a broader spectrum of eventual consequences. Although the significance of this new problem started being widely recognized, actual occurrences of cyber-manufacturing attacks — that can provide useful empirical data — have been relatively of a low number. Furthermore, recent research has been focused on developing solutions to prevent or detect cyber-manufacturing attacks. However, such solutions can be more effectively devised if a thorough understanding of the nature of various attacks is achieved first. To develop effective solutions against cyber-manufacturing attacks, it is of utmost important to understand motivations of the attacker, behaviors of the attacks, patterns of the attack, and impacts of these attacks. The comprehensive analysis of cyber-manufacturing attacks can be achieved by conducting an in-depth investigation of the attacks, identifying vulnerabilities caused by the attacks, and experimenting the attacks in a controlled CMS environment. This research presents how a cyber-manufacturing testbed can be utilized to achieve the above goal. It contributes toward the goal by accomplishing four tasks. First, it established a cyber-manufacturing system testbed. Second, the research identified attack surfaces in the designed testbed and performed an in-depth investigation for cyber-attacks that can infiltrate the established testbed. Based on the second task, it developed a ranking system. Finally, based on the ranking system, high-impact attack scenarios have been identified, demonstrated and analyzed on the cyber-manufacturing testbed.
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