TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment

Ban, Xinbo, Ding, Ming, Liu, Shigang, Chen, Chao, Zhang, Jun, and Xiang, Yang (2022) TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment. In: Lecture Notes in Computer Science (13106) p. 218. From: ESORICS 2021: European Symposium on Research in Computer Security, 4-8 October 2021, Virtual.

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The Internet of Things (IoT) networks promote significant convenience in every aspect of our life, including smart vehicles, smart cities, smart homes, etc. With the advancement of IoT technologies, the IoT platforms bring many new features to the IoT devices so that these devices can not only passively monitor the environment (e.g. conventional sensors), but also interact with the physical surroundings (e.g. actuators). In this light, new problems of safety and security arise due to the new features. For instance, the unexpected and undesirable physical interactions might occur among devices, which is known as inter-rule vulnerability. A few work have investigated the inter-rule vulnerability from both cyberspace and physical channels. Unfortunately, only few research papers take advantage of run-time simulation techniques to properly model trigger action environments. Moreover, no simulation platform is capable of modeling primary physical channels and studies the impacts of physical interactions on IoT safety and security. In this paper, we introduce TAESim, a simulation testbed to support reusable simulations in the research of IoT safety and security, especially for the IoT activities in home automation that could involve possibly unexpected interactions. TAESim operates over MATLAB/Simulink and constructs a digital twin for modeling the nature of the trigger-action environment using simulations. It is an open-access platform and can be used by the research community, government, and industry who work toward preventing the safety and security consequences in the IoT ecosystem. In order to evaluate the effectiveness and efficiency of the testbed, we conduct some experiments and the results show that the simulations are completed in a few seconds. We also present two case studies that can report unexpected consequences.

Item ID: 73096
Item Type: Conference Item (Research - E1)
ISBN: 978-3-030-95483-3
Copyright Information: © 2022 Springer Nature Switzerland AG
Date Deposited: 01 Jun 2022 01:02
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4604 Cybersecurity and privacy > 460406 Software and application security @ 100%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220405 Cybersecurity @ 100%
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