软件学院图灵讲坛(第12期):基于大数据和机器学习的分布式拒绝服务攻击检测及应对

发布时间:2018-01-19  阅读次数:3972

活动时间:2018-1-23 13:30
活动地点:济事楼 417

 

基于大数据和机器学习的分布式拒绝服务攻击检测及应对
Distributed Denial of Service Attack Detection and Countermeasures

Using Big Data and Machine Learning 

 

 

李 颉 教授
  •   日本筑波大学   University of Tsukuba, Japan
      a senior member of IEEE and ACM 
      a member of IPSJ    (Information Processing Society of Japan)
 
邀请人:赵生捷教授

Abstract:
The Distributed Denial of Service (DDoS) is a typical cyber-attack that takes network resources unavailable by overwhelming it with large traffic from multiple sources. In a typical DDoS attack, there may be millions of fake requests which run out the network resources. Nowadays, the scalability and traffic of networks grow explosively, which make the DDoS attack detection more complicated and challenging. Big data and machine learning can be  tools for dealing with DDoS detections by catching the network traffic features. In this speech, we present some novel DDoS detection and countermeasure methods for large-scale and complicated computer networks including Software-Defined Networks and large-scale Internet using big data framework Spark Streaming and machine learning. We show that the big data and machine learning are powerful in dealing with DDoS.
 
Bio:
Jie Li received the B.E. degree in computer science from Zhejiang University, Hangzhou, China, the M.E. degree in electronic engineering and communication systems from China Academy of Posts and Telecommunications, Beijing, China. He received the Dr. Eng. degree from the University of Electro-Communications, Tokyo, Japan. He is with Faculty of Engineering, Information and Systems, University of Tsukuba, Japan, where he is a Professor. His current research interests are in mobile distributed computing and networking, big data and cloud computing, network security, OS, modeling and performance evaluation of information systems. He was a visiting Professor in Yale University, USA, Inria Sophia Antipolis, France and Inria Grenoble – Rhone-Aples, France. He is a senior member of IEEE and ACM and a member of IPSJ (Information Processing Society of Japan). He serves as an associated editor for many international journals and transactions such as IEEE IoT Journal, IEEE Access Journal, IEEE Trans on TVT, and IEEE Trans on Cloud Computing. He is the founding Chair of IEEE ComSoc Technical Committee on Big Data (TCBD) and the co-chair of IEEE Big Data Technical Community. He has also served on the program committees for several international conferences such as IEEE INFOCOM, IEEE GLOBECOM, and IEEE MASS.
 

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