事故前法医分析的法律和道德问题。

I. Sutherland, Matthew Bovee, K. Xynos, H. Read
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摘要

搜索数字证据的调查人员可能会遇到各种不同的物联网设备。这些设备及其环境中的数据可能很有价值,但也非常不稳定。为了符合最佳做法,并以快速和法医合理的方式处理这些设备,调查人员应该有一个预先确定的计划。制定这样的计划需要通过对“目标”设备的探索和实验来开发先验知识。物联网设备的种类、数量和普及程度不断扩大,这意味着对事件前分析的需求越来越大,以确保取证工具和技术能够适当地获取、保存和记录证据。这些物联网设备中的许多都具有专有的文件和操作系统,并可能采用限制或阻止研究人员访问的机制来保护知识产权。设备的拆卸和规避这些机制可能受到合同、最终用户许可协议(EULA)或有关知识产权的立法的限制。在某些司法管辖区,安全研究存在立法排除,允许合法分析。对硬件进行事件前分析以建立取证过程与漏洞和安全研究有一些相似之处,但两者的最终目标存在明显差异。本文讨论了针对物联网硬件进行事件前取证分析时可能遇到的法律和道德问题。它强调了特别关注的领域,确定了文献中提出的最佳实践和需要未来工作的主题,然后为法医调查员处理这些类型的设备提供了一系列建议。
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Legal and ethical issues of pre-incident forensic analysis.
Investigators searching for digital evidence may encounter a variety of different IoT (Internet of Things) devices. Data in such devices and their environments can be both valuable, but also highly volatile. To meet best practices and to process these devices in an expeditious and forensically-sound manner, an investigator should have a predefined plan. Developing such plans requires prior knowledge developed through the exploration and experimentation of the “target” devices. The expanding variety, number, and pervasiveness of IoT devices means there is an increasing need for pre-incident analysis to ensure forensic tools and techniques acquire, preserve and document evidence appropriately. Many of these IoT devices have proprietary file- and operating-systems and may employ mechanisms to protect intellectual property by limiting or preventing access by researchers. Disassembly of the device and circumventing these mechanisms may be restricted by contract, end-user licence agreement (EULA) or legislation regarding intellectual-property rights. Legislative exclusions exist for security research, in some jurisdictions, permitting legitimate analyses. The pre-incident analyses of hardware to establish a forensic process bear some similarity to vulnerability and security research, however there are distinct differences in their end goals. This paper discusses the legal and ethical issues that may be encountered when conducting pre-incident forensics analyses focussing on IoT hardware. It highlights areas of particular concern, identifies best practice and subjects requiring future work as presented in the literature before providing a series of recommendations for forensics investigators processing these types of devices.
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