TWC: Small: Friendsourcing to Detect 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试图保护自己免受网络中间攻击的情况。例子包括审查和网络中立性的侵犯，这属于一个一般类别？网络操纵？这个项目是探索如何检测网络操纵？交友？一种策略，其中个人使用他们的社交网络从他们的朋友那里获得测量结果。该项目正在制定一个框架，通过解决覆盖范围、仪器和合作问题，促进这一基本分析机制。为了获得覆盖，必须能够进行在正确的网络位置找到主机集合的招募。为了部署仪器，必须在这些位置设置能够进行必要测量的软件系统。为了获得合作，有必要依靠朋友来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。后来的研究使用更广泛的覆盖面与理论基础，更多的模块化仪器，较弱的朋友关系，更多的参与者。研究使用理论（覆盖率），软件架构（用于仪器）和社交网络绑定（评估合作水平）的混合。这些研究为理解社交网络和交友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。

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.