Surveillance, Analysis and Modeling of Chatroom Communities

聊天室社区的监控、分析和建模

• 批准号: 0442154
• 负责人: Bulent Yener
• 金额: --
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0442154&HistoricalAwards=false
• 关键词: Surveillance; Analysis; Modeling; Chatroom; Communities

The aim of this proposal is to develop new techniques for information gathering, analysis and modeling of chatroom communications. First, the investigator and his colleague consider graph-less models to capture the structure of chatroom communications. In particular, the investigators study how to develop a multidimensional singular value decomposition approach for component analysis of chatroom communication data. Second, the investigators develop new visualisation techniques to display the structural information found in the first step.Internet chatrooms provide an interactive and public forum of communication for participants with diverse objectives. Two properties of chatrooms make them particularly vulnerable for exploitation by malicious parties. First, the real identities of the participants are decoupled from their chatroom nicknames. Second, multiple threads of communication can co-exist concurrently. Although human-monitoring of each chatroom to determine "who-is-chatting-with-whom" is possible, it is very time consuming, hence not scalable. Thus, it is very easy to conceal malicious behavior in Internet chatrooms and use them for covert communications (e.g., adversary using a teenager chatroom to plan a terrorist act). This project aims at a fully automated surveillance system for data collection and analysis in Internet chatrooms to discover hidden groups. The surveillance is done in the form of statistical profiling for a particular chatter, a group of chatters, or for the entire chatroom. The statistical profiles are used to devise algorithms to determine chatters and their partners and answer to queries including (i) "in which chatrooms topic A is discussed", (ii) "who is chatting about topic A in chatroom X", (iii) "is topic A is a hot one in chatroom X" etc. Thus, the proposed system could aid the intelligence community to discover hidden communities and communication patterns in chatrooms without human intervention.This award is supported jointly by the NSF and the Intelligence Community. The Approaches to Terrorism program in the Directorate for Mathematics and Physical Sciences supports new concepts in basic research and workforce development with the potential to contribute to national security.

该建议的目的是开发新技术，以进行聊天室通信的信息收集，分析和建模。 首先，调查员和他的同事考虑无形的模型来捕捉聊天室通信的结构。特别是，研究人员研究了如何开发多维奇异价值分解方法，以分析聊天室通信数据的组件分析。 其次，调查人员开发了新的可视化技术，以显示第一步中发现的结构信息。Internet聊天室为具有多种目标的参与者提供了一个互动和公共的沟通论坛。聊天室的两种特性使它们特别容易受到恶意聚会的剥削。 首先，参与者的真实身份与他们的聊天室昵称分离出来。其次，多个通信线程可以同时共存。 尽管每个聊天室的人监控可以确定“谁与谁一起聊天”，但这是非常耗时的，因此无法扩展。 因此，在互联网聊天室中隐藏恶意行为并将其用于秘密通信非常容易（例如，使用青少年聊天室计划恐怖分子行为的对手）。 该项目旨在针对一个全自动的监视系统，用于互联网聊天室中的数据收集和分析，以发现隐藏的组。监视是针对特定聊天，一组chat不休或整个聊天室的统计分析的形式进行的。统计配置文件用于设计算法来确定chatters及其伙伴以及对疑问的答案，包括（i）“在哪个聊天室中讨论聊天室主题a”。由NSF和情报界共同。 数学和物理科学局中恐怖主义计划的方法支持基础研究和劳动力发展中的新概念，有可能为国家安全做出贡献。