活动/讲座时间：2011-06-10 下午16:00-17:30

活动/讲座地点：九里校区逸夫馆4405A

活动/讲座嘉宾：左雁军博士

嘉宾介绍：

Yanjun Zuo received an PhD degree in Computer Science from the University of Arkansas， Fayetteville， AR， USA in 2005. He also holds a master degree in Computer Science (2003) from the University of Arkansas and a master degree in Business Administration (2000) from the University of North Dakota， Grand Forks， ND， USA. Currently， he is an associate professor of computer information systems/computer science and the director of cyber security research group at the University of North Dakota. His research interests include RFID security and privacy， survivable and trustworthy systems， and information privacy protection.

Dr. Zuo has published numerous articles in refereed journals and conference proceedings including IEEE Transactions on Secure and Dependable Computing， IEEE Transactions on Systems， Man and Cybernetics， International Journal of Computer and Information Security， Decision Support Systems， ACM International Conference on Wireless Communication Security， ACM Symposium on Applied Computing， IEEE International Conference on Information and Intelligence Systems， etc. He is the members of Association for Information Systems (AIS)， Association of Information Technology Professionals (AITP)， and Association for Computing Machinery (ACM).

Dr. Zuo actively participates international conferences and journal reviews. He is the associate editor-in-chief of Internal Journal of Handheld Computing Research and Chair of Computer Security Track of 2009 Internal Conference of Information Technology. He is the members of the technical committees of several conferences including ACM Symposium on Applied Computing， IEEE International Conference on RFID， and International Conference on Information Technology.

主要内容：

Radio Frequency Identification (RFID) is a wireless technology for automatic item identification and data capture. It has been applied in various areas including supply chains, logistics, healthcare and crisis management, and is expected to play a more important role in future ubiquitous computing. In this research, we study survivability of RFID systems. Survivability refers to a system’s ability to withstand malicious attacks and support the system’s mission even when parts of the system have been damaged. We first present an RFID survivability experiment and quantitatively measure the degree of survivability of an RFID system under varying attacks. To quantify the degree of survivability of an RFID system, we use stochastic process algebras to represent the interactions between the system and the adversary. By modeling different malicious scenarios, we show the different effects of those attacks on an RFID system’s ability to provide critical services even when some components have been damaged. Our model relates its statistic to the attack strategies and security recovery. The model is the first of its kind to formally represent and simulate attacks on RFID systems from a survivability perspective and to measure the degree of survivability of an RFID system under different attacks.