| Lecturer Profile |
Jian Ren received the BS and MS degrees both in mathematics from Shaanxi Normal University, in 1988 and 1991 respectively. He received the Ph.D. degree in EE from Xidian University in 1994. From 1997 to 1998, he worked as a technical advisor and security architect at Racal Datacom, Fort Lauderdale, Florida. He was a security architect from 1998 to 2002, first with Lucent Technology and then with Avaya, Holmdel, NJ. Currently, he is an Associate Professor in the Department of ECE at Michigan State University, East Lansing, MI. His most recent research interests include network security, cost-aware security protocol design, privacy-preserving communications, cloud computing and smart home/grid. His group recently developed a hardware secure access gateway to enable remote managing and monitoring of ZigBee enabled devices using a mobile phone, protected through one-time login and one-time password based secure access control. Dr. Ren has been the principle investigator of eight NSF funded projects, including the US National Science Foundation Faculty Early Career Development (CAREER) award in 2009. He is a senior member of the IEEE. He served as the TPC co-chairs for IEEE Trustcom 2014 and Chinacom 2011. He is serving as the TPC Chair of IEEE ICNC 2017 and will serve as the General Chair for IEEE ICNC 2018. |
| Lecture Abstract |
Mobile computing is increasingly becoming an integral part of our daily life, and Mobile cloud computing (MCC) is a unique combination of Cloud computing and multimedia mobile services. It is being viewed as the future of mobile which makes it possible that the available resources for mobile devices are no longer limited. The existing mobile applications today still conduct most of the data processing and storage on the mobile devices, primarily due to lack of infrastructure and security mechanisms. For MCC, security is much more than just a technical issue; instead, it is an enabler and prerequisite. In this talk, we will investigate cost-aware secure mobile computation outsourcing and introduce our recent work in three interconnected areas. First, we will discuss the general cost-aware computational problem outsourcing, as well as outsourcing of the computationally intensive cryptographic operations. Second, for location-based applications, we will discuss a security and privacy protection problem formulation, and our proposed secure problem outsourcing solutions. Finally, we will discuss the optimal storage outsourcing in terms of storage efficiency and reliable data recovery under hostile attacks. |
