Spence Aaron, Bangay Shaun
School of Information TechnologyDeakin UniversityGeelongVIC3216Australia.
IEEE J Transl Eng Health Med. 2020 Oct 6;8:4900213. doi: 10.1109/JTEHM.2020.3028996. eCollection 2020.
Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data is analysed in non-trivial ways to recover subtle, hidden or unexpected information. Practical examples of side-channel sensing are well known in domains such as cybersecurity (CYB), but are not formally recognised within the domain of medical diagnostics and monitoring (MDM). This article reviews side-channel usage within CYB and MDM, identifying techniques and methodologies applicable to both domains. We establish a systematic structure for the use of side-channel sensing in MDM that is comparable to existing structures in CYB, and promote cross-domain transferability of knowledge, mindsets, and techniques.
系统中的信息可以通过侧信道提取;侧信道是指那些会泄露信息的非预期通信渠道。本文探讨了侧信道感知的概念,即通过非平凡的方式分析传感器数据,以恢复微妙、隐藏或意外的信息。侧信道感知的实际例子在网络安全(CYB)等领域广为人知,但在医学诊断与监测(MDM)领域尚未得到正式认可。本文回顾了CYB和MDM领域中侧信道的使用情况,确定了适用于这两个领域的技术和方法。我们为MDM中侧信道感知的使用建立了一个系统结构,该结构与CYB中的现有结构相当,并促进知识、思维模式和技术的跨领域可转移性。