KEYNOTE SPEAKER

Security, Privacy, and Data Protection for Trusted Cloud Computing

Prof. Kai Hwang
University of Southern California, USA

Abstract

In this talk, Dr. Hwang will address the security, trust management, and data integrity issues for harnessing a virtualized cloud infrastructure over distributed datacenters. He will assess the role of virtualization technology in protecting cloud resources and datasets used in infrastructure (IaaS), platform (PaaS), and application (SaaS) services in both public and private clouds.
He will present a DHT overlay-based scheme for trust management and security defense against intrusions and worm attacks to provisioned virtual machines over datacenter servers and storage areas. In particular, security mechanisms, privacy protection, data watermarking, and copyright compliance will be discussed. The purpose is to build a trusted cloud environment for business computing applications (such as CRM) and for any HTC (High-Throughput Computing) applications.

Biography of the Keynote Speaker

Kai Hwang is a Professor of Electrical Engineering and Computer Science at the University of Southern California. He is also an IV-endowed chair professor at Tsinghua University in China. He received the Ph.D. in EECS from UC Berkeley in 1972. He has published 8 books and over 210 scientific papers in computer architecture, parallel and distributed computing, network security, and cloud and Internet applications. The citations of his published work have exceeded three thousand. He has been recognized as an IEEE Fellow for making significant contributions in computer architecture and parallel processing.

Dr. Hwang received the 2004 Outstanding Achievement Award from China Computer Federation. He is the founding Editor of the Journal of Parallel and Distributed Computing. His latest research publications cover e-commerce, cloud computing, P2P networks, reputation systems, grid performance, copyright protection and cloud computing. He has delivered over 30 keynote addresses in major IEEE/ACM Conferences. He has also performed advisory and consulting work for IBM, Intel, MIT Lincoln Lab., Academia Sinica, ETL in Japan, and INRIA in France.