STRIPED: A Threat Analysis Method for IoT Systems

Kamakshi Srikumar, Komal Kashish, Kolja Eggers, N. E. D. Ferreyra, Julian Koch, Thorsten Schüppstuhl, R. Scandariato
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Abstract

Currently, IoT systems display a poor level of security, as 50% of IoT devices are vulnerable to severe attacks, according to research. In an attempt to ameliorate the situation, we propose STRIPED, a threat analysis technique that focuses particularly on threat scenarios involving IoT devices that can be physically accessed by attackers. We evaluate STRIPED in a two-pronged way. First, we assess its performance compared to STRIDE (from which STRIPED is derived) in the context of a case study from the manufacturing industry. Second, we gather the feedback of 8 security experts working in a large, multinational company that specializes in secure IoT products for the domains of automotive, industrial, mobile and smart-home applications. These initial evaluation attempts provide encouraging evidence and suggest our method is a step in the right direction of facilitating security-by-design in IoT systems, especially industrial ones.
条纹:物联网系统的威胁分析方法
研究显示,目前物联网系统的安全性很差,因为50%的物联网设备容易受到严重攻击。为了改善这种情况,我们提出了STRIPED,这是一种威胁分析技术,特别关注涉及可被攻击者物理访问的物联网设备的威胁场景。我们以两种方式评估STRIPED。首先,我们在制造业案例研究的背景下评估了它与STRIDE (stripedge衍生自STRIDE)的性能。其次,我们收集了8位安全专家的反馈,他们就职于一家大型跨国公司,专门从事汽车、工业、移动和智能家居应用领域的安全物联网产品。这些初步的评估尝试提供了令人鼓舞的证据,并表明我们的方法是朝着促进物联网系统(特别是工业系统)设计安全的正确方向迈出的一步。
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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