学术报告
时间: 2014-05-26 发布者: 文章来源: 欧洲杯买足球软件 审核人: 浏览次数: 664

报告题目:Trust Management in Social Networks, Web Services and E-Commerce Applications

报告人:王岩副教授(Macquarie University)

时间:2014年5月28日(星期三)15:30

地点:天赐庄校区理工大楼504室

报告摘要:Social networks have become the platforms for a variety of rich activities which include the selection of trustworthy targets via the recommendation of other participants. This requires mechanisms for the trust inference between non-adjacent participants, which are also expected to deliver trustworthy computation results. This talk will introduce the complex social network structures that take more information with influence on trust evaluation into account, and the heuristic algorithms for the NP-Complete multi-constrained optimal social trust path(s) selection problem.
Trust evaluation is also important in service-oriented applications. While existing single-trust-value mechanisms can provide good but simple information to service customers, more trust information should be computed to indicate the trust level of a service provider more comprehensively. In addition, trust computation requires the accumulation of trust data for a long serving period. This raises the requirement of trust data analysis so as to use a small dataset to represent a large set of trust ratings. This talk will introduce a trust vector approach and a trust vector based approach for trust data aggregations to satisfy these requirements.
Moreover, trust is a critical issue in e-commerce environments. In contrast to most existing trust evaluation methods that compute a single trust value, in this talk, a trust vector approach will be introduced. The computation of trust values in the trust vector is associated with both past transactions and a forthcoming transaction, and takes transaction context into account. The computed trust results can outline the reputation profile of a seller, predict the trustworthiness of the seller in a forthcoming transaction, help identify the value imbalance problem and avoid huge monetary losses of buyers.

报告人简介:Dr Yan Wang is an Associate Professor and HDR (Higher Degree Research) Director in the Department of Computing, Macquarie University (MQ), Australia. He received his B. Eng, M. Eng and Doctorate Degree of Engineering in computer science and technology from Harbin Institute of Technology (HIT), P.R. China. Prior to joining Macquarie University in 2003, he was a Postdoctoral Fellow/Research Fellow in the Department of Computer Science, School of Computing, National University of Singapore (NUS).
Dr Yan Wang has been the Chief Investigator of 2 ARC (Australia Research Council) Discovery projects and 1 ARC Linkage project. He has published a number of research papers in prestigious international journals and conferences. His research interests cover trust management, social computing, services computing, electronic commerce, and computer security.
Dr. Yan Wang is now serving on the editorial boards of Service-Oriented Computing & Applications journal (SOCA), Springer, Human-centric Computing and Information Sciences (HCIS), Springer, and International Journal of Services Computing. He served as the guest co-editor of the special issue on e-commerce of IEEE Internet (2008). He has served as the General co-Chair of IEEE ATC-2014, IEEE ATC-2013, and the Program co-Chair of IEEE MS2014, IEEE SCC2011 and ATC2011. He has been the PC member of over 50 conferences and the reviewer of over 25 international journals.
Dr. Yan"s research team received the Best Paper Award from prestigious IEEE SCC2010 and IEEE TrustCom 2012 respectively. His PhD students received the nomination of Australasian Distinguished Doctoral Dissertation in 2011 and 2013 respectively, and received 2009 and 2011 Chinese Government Awards for Outstanding Self-financed Students Aboard by China Scholarship Council (CSC).