報告主題: Linking Big Data and Behavior Analytics to Cybersecurity
報告專家：支誌雄教授
報告時間：12月28日（周三）13:30
報告地點：行政樓912
主講人介紹🧛🏽：
支誌雄，現任澳大利亞聯邦科學與工業組織（CSIRO）Data61研究所，雲計算和傳感數據安全組的科研組長✊🏽。在加入CSIRO之前💪🏼，他從普渡大學獲得博士學位，先後在Philips Research、IBM Poughkeepsie🎥、中國香港大學🌺、新加坡國立大學、清華大學任職，並擔任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等會議主席，已在國際知名會議和期刊上發表論文超過250篇，擁有6項已經產業化的美國專利。他目前的研究領域包括行為信息學和分析學，網絡安全，物聯網🪙，雲計算、服務計算和社交網絡🦫。
內容介紹：
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.
