Anonymous Group Communication for Internet Services based on Publish/Subscribe

基于发布/订阅的Internet服务匿名群组通信

• 批准号: 317688284
• 负责人: Professor Dr. Max Mühlhäuser
• 金额: --
• 依托单位: Fachgebiet Telekooperation
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/317688284?language=en
• 关键词: Anonymous; Group; Communication; Internet; Services

Many services on the Internet, like for instance Twitter, or WhatsApp, organize their participants into groups of users who share a common interest, and implement some group communication. Privacy in general, and specifically anonymous communication are increasingly important, in this context. This entails that while the content of some messages may be shared with large groups, the respective meta data of senders, receivers, as well as their interests must be kept secret. This privacy is expected towards 1) other members of the groups, 2) the service providers, and 3) eavesdroppers, like criminals or intelligence agencies of potentially totalitarian nation states. The initial negotiations in for instance dating or car-sharing sites may require that the participants can hide their identity, until some common trust has been established. Investigative journalism, or whistleblowing certainly requires the privacy of the users from service providers and state institutions. The proposed project will investigate anonymous group communication for the above stated applications. Instead of applying server-based approaches, we will research decentralized group communication following the Pub/Sub paradigm, as it allows for setting up multicast groups without any centralized entities.We will focus on three specific aspects: i) the development of algorithms and protocols for efficient pub/sub multicas, ii) the corresponding adversary models, and iii) privacy metrics, and the bounds on the possible privacy of users within such systems. Bringing together groups from Darmstadt and Dresden, we will interleave our respective methods and a) create formal models of user behaviour, adversaries, and the systems, b) develop user and load models as well as simulation models to evaluate the developed systems and the state of the art, and c) integrate the approach into existing friend-to-friend networks, to analyse it under realistic conditions.

互联网上的许多服务，例如Twitter或WhatsApp，将参与者组织成具有共同兴趣的用户组，并实现一些组通信。在这种情况下，隐私，特别是匿名通信变得越来越重要。这就意味着，虽然某些消息的内容可能会与大型群组共享，但发送者、接收者各自的元数据以及他们的兴趣必须保密。这种隐私是对1)组织的其他成员，2)服务提供商和3)窃听者（如罪犯或潜在极权国家的情报机构）的期望。例如，约会网站或汽车共享网站的初始谈判可能要求参与者隐藏自己的身份，直到建立了某种共同的信任。调查性新闻或举报当然需要服务提供商和国家机构保护用户的隐私。拟议的项目将调查上述应用程序的匿名组通信。我们将不采用基于服务器的方法，而是研究遵循Pub/Sub范式的分散组通信，因为它允许在没有任何集中实体的情况下建立多播组。我们将重点关注三个具体方面：i)高效发布/订阅多组的算法和协议的开发，ii)相应的对手模型，以及iii)隐私度量，以及此类系统中用户可能的隐私界限。汇集来自达姆施塔特和德累斯顿的团队，我们将交叉我们各自的方法，a)创建用户行为，对手和系统的正式模型，b)开发用户和负载模型以及仿真模型，以评估开发的系统和最先进的状态，c)将该方法集成到现有的朋友对朋友网络中，在现实条件下进行分析。