| Lecturer Profile |
Dr. Xiaojiang (James) Du is a tenured associate professor in the Department of Computer and Information Sciences at Temple University, Philadelphia, USA. Dr. Du received his B.S. and M.S. degree in electrical engineering from Tsinghua University, Beijing, China in 1996 and 1998, respectively. He received his M.S. and Ph.D. degree in electrical engineering from the University of Maryland College Park in 2002 and 2003, respectively. His research interests are wireless communications, wireless networks, security, and systems. He has authored over 180 journal and conference papers in these areas, as well as a book published by Springer. Dr. Du has been awarded more than $5 million US dollars research grants from the US National Science Foundation (NSF), Army Research Office, Air Force, NASA, the State of Pennsylvania, and Amazon. He won the best paper award at IEEE GLOBECOM 2014 and the best poster runner-up award at the ACM MobiHoc 2014. He serves on the editorial boards of three international journals. Dr. Du served as the lead Chair of the Communication and Information Security Symposium of the IEEE International Communication Conference (ICC) 2015, and a Co-Chair of Mobile and Wireless Networks Track of IEEE Wireless Communications and Networking Conference (WCNC) 2015. He is (was) a Technical Program Committee (TPC) member of several premier ACM/IEEE conferences such as INFOCOM (2007 - 2016), IM, NOMS, ICC, GLOBECOM, WCNC, BroadNet, and IPCCC. Dr. Du is a Senior Member of IEEE and a Life Member of ACM. |
| Lecture Abstract |
Wireless sensor networks have applications in many areas, such as military, homeland security, health care, environment, agriculture, manufacturing, and so on. Security is critical for sensor networks deployed in hostile environments, e.g., military battlefields. Previous research on sensor network security mainly considered homogeneous sensor networks, where all sensor nodes have the same (or similar) capabilities. Research has shown that homogeneous ad hoc networks have poor fundamental performance limits and scalability. To achieve better performance and security, we adopt a Heterogeneous Sensor Network (HSN) model.
Key management is an essential cryptographic primitive upon which other security operations are built. Most existing key management schemes are designed to establish shared keys for all pairs of neighbor sensors, no matter whether these nodes communicate with each other or not, and this causes large overhead. The many-to-one traffic pattern dominates in typical sensor networks, where a large number of sensor nodes send data to one sink. Due to the special traffic pattern, a sensor node may only communicate with a small portion of its neighbors. Based on this fact, we proposed a novel routing-driven key management scheme for HSNs, which only establishes shared keys for neighbor sensors that communicate with each other. Our performance evaluation and security analysis showed that the scheme can significantly reduce communication and computation overheads, sensor storage requirement, and energy consumption while achieving better security than a popular sensor key management scheme.
In this research, we also studied the number of communication neighbors (denoted as c) for ensuring a certain routing reliability, and we obtained the lower and upper bounds of c. |
