建筑物中的幽灵:对自动化建筑物的非侵入性欺骗和隐蔽攻击

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Johnny Bengtsson
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引用次数: 0

摘要

在数字取证的背景下,传感器和执行器事件日志分析对于理解自动化建筑中的事件至关重要,例如在建筑自动化和控制系统(BACS)或家庭自动化系统(HAS)中。从错误、误导或损坏的日志数据中得出的结论可能对犯罪现场的调查和重建产生不利影响。这项工作旨在提高人们对由于来自BACS或HAS事件日志系统的损坏或篡改数据而导致误解的潜在风险的认识。设计并实施了一系列针对此类系统的非侵入式传感器和执行器攻击,以确定以下方法的可行性:1)注入欺骗的热释电红外(PIR)和二氧化碳(CO2)传感器事件日志记录;2)对PIR传感器和二氧化碳传感器不可见;3)模仿执行器的行为,目的是注入欺骗的事件日志记录。该研究还得出结论,传感器融合可以揭示二氧化碳传感器隐藏的活动。此外,本工作讨论了与这些发现相关的网络物理(CPS)领域的对抗性观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ghost in the building: Non-invasive spoofing and covert attacks on automated buildings
Sensor and actuator event log analyses within the context of digital forensics are crucial for understanding events in automated buildings, such as in a building automation and control system (BACS) or a home automation system (HAS). Conclusions drawn from erroneous, misleading, or corrupted log data may adversely affect crime scene investigations and reconstructions. This work aims to raise awareness of the potential risk of misinterpretation due to corrupted or tampered data from BACS or HAS event log systems.
A series of non-invasive sensor and actuator attacks on such systems was designed and conducted to determine the feasibility of: 1) injecting spoofed pyroelectric infrared (PIR) and carbon dioxide (CO2) sensor event log records, 2) becoming invisible to PIR sensor and CO2 sensors, and 3) mimicking the behaviour of an actuator with the aim of injecting spoofed event log records. The study also concludes that sensor fusion can reveal activities that were concealed from CO2 sensors. Furthermore, this work discusses the adversarial perspectives in the cyber-physical (CPS) domain in relation to these findings.
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来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
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