Traffic analysis attacks can counteract end-to-end encryption and use the leaked communication metadata to reveal information about the communicating parties. With an ever-increasing amount of traffic by an ever-increasing amount of networked devices, this undermines communication privacy and goes against the uptrend of limiting personal data collection. Therefore, Anonymous Communication Systems (ACSs) are proposed to protect the users' privacy by hiding the relationship between transmitted messages and their senders and receivers, providing privacy properties known as anonymity, unlinkability and unobservability. This article aims to review the research in the ACSs field based on its applicability in real-world scenarios. First, we present an overview of the underlying principles of ACSs and different methods. Then, we focus on Dining Cryptographers Networks (DCNs) and the methods for anonymous communication that are based on them. We investigate the alignment of ACSs with the privacy terminologies. Most notably, the DCN-based methods are information-theoretically secure and thus provide unconditional unobservability guarantees. Their initial adoption for anonymous communications was hindered initially as their computational and communication overhead was deemed too significant at that time and scalability problems occurred. However, several more recent contributions such as the possibility to transmit arbitrary length messages, efficient handling of disruptors and improvements in overhead made the integration of modern DCN-based methods more realistic. Previous surveys on ACSs did not cover the most recent research advances in this area or did not focus on DCN-based methods. This comprehensive investigation of modern ACSs and DCN-based systems closes this gap.
翻译:因此,匿名通信系统(ACS)建议保护用户隐私,隐藏传送的信息与其发件人和接收人之间的关系,提供匿名、不可连接和不可观测的隐私特性。这篇文章的目的是根据ACS在现实世界情景中的可应用性,审查ACS领域的研究。首先,我们概述了ACS的基本原则和不同方法。然后,我们侧重于Dining Captors网络(DCNs)和基于这些网络的匿名通信方法。我们调查ACS系统与隐私术语之间的关系,特别是基于信息的基于信息的信息安全性、不可连接性和不可观测性。DCN领域最初采用的匿名通信系统在现实世界情景中的可应用性方面有碍于其应用性。在近期的计算和通信领域,由于对最新数据流数据的处理效率的提高,DCSS的这一现代成本性研究领域没有发生如此重大的改进。