计算机网络和信息集成教育部重点实验室(东南大学)

 
   



2015年学术报告


--- 2015年学术报告
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How to Classify Crimes and Investigations and A New Crime

时间: 地点:九龙湖校区计算机学院313室

报告简介:

  The Internet has become the primary battlefield of the cyber war and the prevalent environment of cybercrimes. We want to understand cybercrime in order to predict them, prevent them, detect them and respond to them. It is also critical to understand state-of-art cyber crime investigation to educate a quality cyber operation workforce. In this talk, we introduce our models to this end. We model cybercrimes as a combination of three basic crime strategies and cybercrime investigations as computerized techniques and traditional forensic technique. We also build a web based cybercrime and investigation database for easy search of cases of interest. To demonstrate the threats from cybercrimes, we also introduce a new type of cybercrime, the n-gram language model based attacks that are able to recognize text inputs such as emails on touch-enabled devices, and raise mobile security and privacy awareness.

报告人简介:

   Dr. Xinwen Fu is an associate professor in the Department of Computer Science, University of Massachusetts Lowell. He received B.S. (1995) and M.S. (1998) in Electrical Engineering from Xi'an Jiaotong University, China and University of Science and technology of China respectively. He obtained Ph.D. (2005) in Computer Engineering from Texas A&M University. Dr. Fu's current research interests are in computer security and privacy. He has been publishing papers in conferences such as IEEE Symposium on Security and Privacy (S&P), ACM Conference on Computer and Communications Security (CCS), ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), journals such as ACM/IEEE Transactions on Networking (ToN), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Computers (TC), and IEEE Transaction on Mobile Computing (TMC), book and book chapters. He spoke at various technical security conferences including Black Hat. His research was reported by various Media including CNN, Wired, Huffington Post, Forbes, Yahoo, MIT Technology Review, PC Magazine and aired on CNN and CCTV.
   

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