Chat assistant for criminal group infiltration
Chat assistant for criminal group infiltration
批准号:
485237-2015
负责人:
Khoury, Richard
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
加拿大泰雷兹研究与技术公司(TRT)总部位于qusamubec市,正在研究开发自然语言处理(NLP)工具的方法,该工具将帮助试图参与暗网上黑客聊天室的渗透特工,目的是提前发现正在讨论的软件漏洞以及即将到来的攻击的目标。公司特有的问题是开发工具,通过监控聊天对话、理解语言和建议回复的想法来帮助渗透代理。这三个步骤中的每一个都代表一个主要的应用问题。首先,监控聊天对话需要解开来自多个同时发生的对话的消息网络,这些对话发生在同一房间中,同时发生在一组动态变化的参与者之间。我们建议通过计算在单个消息的内容和元数据中发现的特征之间的相似性来实现这一点。其次,要理解这些信息,就需要对网上发现的非常规拼写进行规范化,并对其进行解释
英文摘要
Thales Research & Technology Canada (TRT), based in Québec City, is investigating ways to develop natural language processing (NLP) tools that will assist an infiltration agent trying to participate in a hacker chat room on the Dark Web, with the goal of uncovering ahead of time which software vulnerabilities are being discussed and targeted in upcoming attacks. The company-specific problem is to develop tools that will help the infiltration agent by monitoring chat conversations, understanding the language, and suggesting ideas for replies. Each of these three steps represents a major applied problem. Firstly, monitoring chat conversations requires untangling a web of messages from multiple simultaneous conversations taking place in the same room at the same time between a dynamically-changing set of participants. This we propose to do by computing the similarity between features found in the content and metadata of individual messages. Secondly, understanding the messages requires normalizing the unconventional spelling found online and interpreting the
new idioms created by the web community. We have at our disposal a set of state-of-the-art NLP tools that can help in this challenge. Finally, in order to suggest relevant information to the infiltration agent, the system must have access to a database of information it can query, as well as an awareness of the agent's online persona to filter this information and retain useful facts. This part of the system can be based on the virtual assistant technology developed by the applicant's research team. This project will give Thales the ability to learn about and anticipate security attacks before they happen, and will thus give an important boost to software and network security for Canadian companies, banks, government agencies, and individuals.
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