Security, Privacy, and Data Protection for Trusted Cloud Computing

by Professor Kai Hwang University of Southern California

Talk Abstract

Cloud computing and virtualization have been regarded as the cutting-edge computing technologies that may change the course of computing in the future. In this talk, Dr. Hwang will address the security, trust managment, 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 in using virtualized datacenter resources. The purpose is to build a trusted cloud environment for business applications (such as CRM) and for HTC (high-throughput Computing)  applications in the cloud.

About Kai Hwang

Kai Hwang is a Professor of Electrical Engineering and Computer Science at the University of Southern California. He is also an IV-endowed visiting 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 Internet applications. He was awarded an IEEE Fellow in 1986 for making significant contributions in these areas.

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, and copyright protection. He has delivered 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.

Organized by Indiana University
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