TWC: Small: Friendsourcing to Detect Network Manipulation

TWC：小型：通过友好外包来检测网络操纵

• 批准号: 1223967
• 负责人: Carl Gunter
• 金额: $ 50万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1223967&HistoricalAwards=false
• 关键词: TWC; Small; Friendsourcing; Detect; Network

Traditionally, security on the Internet has been concerned with threats posed by edge nodes (hosts) to other hosts and to the middle nodes of the network (routers). However, in recent years,a rising number of instances in which hosts seek to defend themselves against the middle of the network can be seen. Examples include censorship and network neutrality violations, which fall into a general category of ?network manipulation?.This project is exploring how to detect network manipulation through ?friendsourcing?, a strategy in which individuals use their social networks to get measurements from their friends. The project is developing a framework to facilitate this basic mechanism of analysis by addressing coverage, instrumentation, and co-operation. To obtain coverage, it must be possible to carry out recruitment that finds a collection of hosts in the right network locations. To deploy instrumentation, a software system capable of making the necessary measurements must be set up in such locations. To gain co-operation, it is necessary to rely on friending to get the help needed to realize the coverage and use the instrumentation.Initial studies use limited coverage based on close friending and manual instrumentation. Later studies use broader coverage with theoretical underpinnings, more modular instrumentation, weaker friending ties, and more participants. Studies use a blend of theory (of coverage), software architecture (for instrumentation) and social network binding (to assess levels of cooperation). These studies provide better foundations for understanding the capacity of social networks and friendsourcing to measure Internet behavior and address network manipulation.

传统上，互联网上的安全一直关注边缘节点（主机）对其他主机和网络中间节点（路由器）构成的威胁。然而，近年来，可以看到越来越多的主机寻求保护自己免受网络中间攻击的实例。例子包括审查和违反网络中立性，这属于一般类别？网络操纵?。这个项目正在探索如何通过“朋友源”来检测网络操纵。这是一种个人利用社交网络从朋友那里获得衡量标准的策略。该项目正在开发一个框架，通过处理覆盖、仪器和合作来促进分析的基本机制。为了获得覆盖，必须有可能进行招聘，在正确的网络位置找到一组主机。为了部署仪器，必须在这些位置建立一个能够进行必要测量的软件系统。为了获得合作，有必要依靠朋友获得实现覆盖和使用仪器所需的帮助。最初的研究使用基于亲密朋友和手动仪器的有限覆盖。后来的研究使用了更广泛的理论基础、更模块化的工具、更弱的朋友关系和更多的参与者。研究使用了理论（覆盖范围）、软件架构（用于工具）和社会网络绑定（用于评估合作水平）的混合。这些研究为理解社交网络和朋友来源的能力提供了更好的基础，以衡量互联网行为和解决网络操纵问题。