基于密钥提取的加密数据合法访问:分类与调查

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Christian Lindenmeier, Andreas Hammer, Jan Gruber, Jonas Röckl, Felix Freiling
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引用次数: 0

摘要

端到端加密技术的兴起使终端用户能够保护自己的数据,以至于传统的合法访问技术(扣押设备、窃听)变得徒劳无益。尽管人们在热烈讨论如何规范执法部门对终端用户设备的原始访问,但却很少关注如何收集证据的技术设计。这一点在远程监控过程中尤为重要,因为执法部门可能会在较长时间内不受限制地访问终端用户设备。在本文中,我们提出了基于密钥提取的合法拦截(KEX-LI)这一新颖类别,即执法部门不直接访问明文数据,而只从最终用户设备中提取必要的密钥材料,从而最大限度地减少对最终用户设备的数据提取要求。在随后收集加密数据时(如通过窃听),执法部门可以使用这些密钥进行解密。我们构建并调查了最先进的密钥提取技术,从而将 KEX-LI 嵌入到更广泛的设备取证环境中。此外,我们还描述了进行 KEX-LI 的实用解决方案的具体要求,并对当前可用的技术实现进行了评估。我们的研究结果旨在帮助从业人员选择最合适的技术,并找出研究空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key extraction-based lawful access to encrypted data: Taxonomy and survey

The rise of end-to-end encryption has enabled end-users to protect their data to a point that classical techniques of lawful access (seizure of devices, wiretaps) are futile. While there is a heated discussion about regulating the access primitive to end-user devices for law enforcement, little attention is given to the technical design of how evidence should be collected. This is especially critical during remote surveillance, as law enforcement may have unrestricted access to end-user devices over longer periods of time. In this paper, we propose the novel category of key extraction-based lawful interception (KEX-LI), meaning that instead of directly accessing plaintext data, law enforcement only extracts the necessary key material from end-user devices, thus minimizing the requirements of data extraction on end-user devices. When subsequently collecting encrypted data (e.g., via wiretapping), law enforcement can use these keys for decryption. We structure and survey the state-of-the-art of key extraction techniques, thus embedding KEX-LI in the broader context of device forensics. Furthermore, we describe specific requirements for a practical solution to conduct KEX-LI and evaluate currently available technical implementations. Our results are intended to help practitioners select the most suitable techniques as well as to identify research gaps.

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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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