报告主题: Linking Big Data and Behavior Analytics to Cybersecurity
报告专家：支志雄教授
报告时间：12月28日（周三）13:30
报告地点：行政楼912
主讲人介绍：
支志雄，现任澳大利亚联邦科学与工业组织（CSIRO）Data61研究所，云计算和传感数据安全组的科研组长。在加入CSIRO之前，他从普渡大学获得博士学位，先后在Philips Research、IBM Poughkeepsie、中国香港大学、新加坡国立大学、清华大学任职，并担任WCW 2004, AWCC 2004, IEEE SOSE 2006, ICSOC 2009, SCC 2009, SIE 2010, EDOC 2011, EDOC 2012, CWI 2012, SCC 2014, ICICS2016, and ICBE 2016等会议主席，已在国际知名会议和期刊上发表论文超过250篇，拥有6项已经产业化的美国专利。他目前的研究领域包括行为信息学和分析学，网络安全，物联网，云计算、服务计算和社交网络。
内容介绍：
Under the fourth compute paradigm, the data intensive scientific discovery, there have been lot of discussions on the potentials of combining Big Data, Internet-of-Things (IoT) and user/event driven behavior analytics technologies together for cybersecurity. Maturity of hardware such as sensors and surveillance cameras, together with information sharing in the cyberspace and advance in data mining techniques, result in the potentials to understand the detail behaviors of human/things/events in the early stages of the cyber kill chain for pro-active security measures. However, realizing this data driven approach in practical cybersecurity solutions is still a challenge because of its multi-disciplinary nature, in particular those related to human. In this talk, we would like to first give our own view on big data and behavior analytics using the sense-relate-clone-think-act model. Then we will discuss the challenges and potentials of how to apply this model to address security issues in cyberspace today.
