Panel 1: Collaborative Autonomic Trust Management: End of Privacy?
Date: October 15, 2012: 3:35 pm to 5:15 pm
Location: Symphony Ballroom
Moderator:
Mohamed Eltoweissy, Egypt-Japan University of Science and Technology, Egypt and Virginia Tech, USA
Panelists (confirmed):
- Calton Pu, Georgia Tech, USA
- Taieb Znati, University of Pittsburgh, USA
- Peng Liu: Pennsylvania State University, USA
Panel Statement
Next generations distributed cyberspace technologies, such as cloud computing, social networking and mobile applications, are expected to evolve a global marketplace in cyberspace for a wide variety of resources and services. In such an extreme-scale marketplace, user entities in the roles of providers, brokers or consumers, are largely autonomous with vastly diverse trust profiles, requirements and capabilities. Managing trust relations for effective and efficient transactions at such unprecedented scale would require collaboration and automation from data gathering, storage and analysis, to trust computation and decision making. At the same time, our growing dependence on such collaborative and autonomic trust management systems and the newly-emerging challenges in protecting huge amounts of data that such infrastructures have to store, process and share have generated enormous concerns related to privacy. Breach or compromise of privacy has the potential to inflict tremendous socioeconomic damages to humans, organizations and societies. Hence, the goal of effective and efficient management of trust, and that of preserving privacy may appear as being at odds with each other. This panel will focus on discussing privacy issues against the goal of collaborative and autonomic management of trust to streamline transactions and collaborations across the resources, services and user/organization levels. In particular, the panel will focus on answering the following key questions:
- Is collaborative autonomic management of trust in extreme-scale distributed environments fundamentally in conflict with privacy goals? The panelists will present views regarding how collaboration and automation may facilitate trust management while on the other hand might make it difficult to preserve privacy, and how enforcing privacy might severely reduce the ability to effectively and efficiently manage trust relations at a global scale with hugef diversity.
- What holistic approaches/paradigms exist or are needed towards ensuring that we significantly enhance the balance between the need for collaborative and autonomic management of trust and the need for privacy preservation?
The panelists will discuss their views regarding what theory, approaches, paradigms, systems and policies are crucial to address the growing challenges in collaboration, automation, trust and privacy management more effectively and what paradigm shift is needed, if any. In particular, the panel will motivate the need for both evolutionary progress as well as revolutionary developments that may be needed to address the collaborative autonomic trust management versus privacy preservation issues.
About the Moderator
Dr. Mohamed Eltoweissy is a Professor and Department Head of the Computer Science and Engineering Department at Egypt-Japan University of Science and Technology. He is also affiliated with The Bradley Department of Electrical and Computer Engineering at Virginia Tech and The Electrical and Computer Engineering Department at the University of Arizona. Prior to joining E-JUST, Eltoweissy was Chief Scientist for Cyber Security Research at the Pacific Northwest National Laboratory, USA. Eltoweissy's current research interests crosscut the areas of cyber resilience and security, cooperative autonomic systems, and networking architecture and protocols for large-scale ubiquitous cyber-physical systems, infrastructures and clouds. Eltoweissy has over 150 publications in archival journals, books and conference proceedings and a funding record exceeding $15M. Eltoweissy received his PhD in Computer Science from Old Dominion University, 1993 and MS and BS in Computer Engineering and Automatic Control from Alexandria University, Egypt, 1989 and 1986 respectively. Eltoweissy serves on the editorial board of IEEE Transactions on Computers (the flagship and oldest Transactions of the IEEE Computer Society), as well as other reputable journals. In addition, he is active in professional leadership activities and as an invited speaker at both the national and international level. Eltoweissy is a senior member of IEEE and a senior member of ACM. Eltoweissy received several professional and service awards and was nominated for the Virginia SCHEV Outstanding Faculty Awards, the highest honor for faculty.
About the Panelists
Dr. Calton Pu is a Professor and John P. Imlay, Jr. Chair in Software at the College of Computing, Georgia Institute of Technology. Calton was born in Taiwan and grew up in Brazil. He received his PhD from University of Washington in 1986 and served on the faculty of Columbia University and Oregon Graduate Institute. His contributions to systems research include program specialization and software feedback in the Synthesis, Synthetix, and Infosphere projects. His contributions to database research include extended transaction models and their implementation such as Epsilon Serializability and Reflective Transaction Framework. His recent research has focused on event processing (Continual Queries over the Internet), automated system management (Elba project) and services computing (dependable systems software). His collaborations include applications of these techniques in scientific research on macromolecular structure data, weather data, environmental data, and health care.
Dr. Taieb Znati is a Professor in the Department of Computer Science, with a joint appointment in Telecommunications in the Department of Information Science, and a joint appointment in Computer Engineering at the School of Engineering. He served as the Director of the Computer and Network Systems Division at the National Science Foundation. Dr. Znati also served as a Senior Program Director for networking research at the National Science Foundation. In this capacity, Dr. Znati led the Information Technology Research (ITR) Initiative, a cross-directorate research program, and served as the Committee Chair of the NSF Information Technology Research Initiative. Dr. Znati's main research interests are in the design and analysis of evolvable, secure and resilient network architectures and protocols for wired and wireless communication networks. He is also interested in bio-inspired approaches to address complex computing and communications design issues that arise in large-scale heterogeneous wired and wireless networks. Dr. Znati has served as the General Chair of several main conferences, including GlobeCom 2010, IEEE INFOCOM 2005, SECON 2004, the first IEEE conference on Sensor and Ad Hoc Communications and Networks, the Annual Simulation Symposium, and the Communication Networks and Distributed Systems Modeling and Simulation Conference. He also served or currently serves as a member of Editorial Boards of a number of networking, distributed system and security journals and transactions.
Dr. Peng Liu is a Professor of Information Sciences and Technology, founding director of the Center for Cyber-Security, Information Privacy, and Trust, and founding director of the Cyber Security Lab at Penn State University. His research interests are in all areas of computer and network security. He has published a monograph and over 200 refereed technical papers. Liu received his B.S. and M.S. degrees from the University of Science and Technology of China, and his Ph.D. degree from George Mason University in 1999. He is the Steering Committee Chair of SECURECOMM. He is the program co-chair of ACM ASIACCS 2010 and SECURECOMM 2008, General Chair of DBSEC 2011 and SECURECOMM 2009, Proceeding Chairs of ACM CCS 2003 and CCS 2004, co-organizers of the first and the second US Army Research Office Workshops on Cyber Situation Awareness, and the founding program co-chair of the ACM Workshop on Survivable and Self-Regenerative Systems. He is a program committee member of over 90 international conferences, including CCS, INFOCOM, and WWW. He is the Editor-in-Chief of ICST Transactions on Security and Safety. He is a referee for over twenty journals, including ACM Transactions on Information and Systems Security and IEEE Transactions on Dependable and Secure Computing. He is or has served on several editorial boards, including Elsevier Computers & Security. He is a member of the Advisory Board of the IEEE Press Book Series “Information & Communication Networks Security.” His research has been sponsored by DARPA, NSF, AFOSR, ARO, DHS, DOE, AFRL, NSA, TTC, CISCO, and HP (In total, he has secured over 14 million US dollars as a PI or Co-PI). Dr. Liu is the overall PI of the DoD MURI project on “Computer-aided Human Centric Cyber Situation Awareness”. He is a recipient of the DOE Early Career Principal Investigator Award. He has co-led the effort to make Penn State a NSA-certified National Center of Excellence in Information Assurance Research.
Panel 2: BigData – Challenges & Research Directions
Date: October 17, 2012: 10:50 am to 12:20 pm
Location: Symphony Ballroom
Moderator:
James Joshi, University of Pittsburgh, USA
Panelists:
- Krishna Kant, George Mason University, USA
- Lee Giles, Pennsylvania State University, USA
- Alexandros Labrinidis, University of Pittsburgh, USA
Panel Statement
With the huge amounts of data being produced continuously by plethora of computing devices and infrastructures (enterprise data repositories, Internet of Things, monitoring devices such as in healthcare domain and surveillance activities, federated sensor/mobile networks, cyber-physical infrastructures, social networks, etc.), the key data handling tasks such as storing, processing, and analyzing, are increasingly becoming very difficult. BigData has thus emerged as an area representing these growing problems of handling data sets characterized by high volume, high velocity and variety. While large and dynamic data sets that can be easily generated today provide an opportunity for streamlining decision making capabilities, improving business intelligence, mining new knowledge and enabling new and enriched services, current data handling solutions have significant limitations. Solutions that employ collaborative systems, technologies and network infrastructures are crucial for addressing such BigData related challenges.
This panel will focus on identifying key BigData related challenges, limitations of current solutions (architectural, storage, algorithmic, etc.) that may be useful, and future research directions in this domain. Some big questions related to BigData, for instance, include:
- How a collaborative cloud computing infrastructure may need to be leveraged to address BigData analytics problems?
- What kind of new network and storage infrastructures may need to be developed?
- How BigData may exacerbate security and privacy (S&P) problems, how it may be leveraged to solve some critical S&P problems?
- What data and met-data modeling approaches are needed (such as for context, structure, multi-modality, quality, dependability, provenance, etc.) to support BigData handling tasks?
- What are the challenges related to analytics and decision making capabilities related to quality and real-time aspect of BigData? How to model Human in the loop aspect of the analytics and decision making challenges?
- etc.
About the Moderator
Dr. James Joshi is an associate professor in the School of Information Sciences at the University of Pittsburgh. He is a founder and the director of the Laboratory of Education and Research on Security Assured Information Systems (LERSAIS). He received his MS in Computer Science and PhD in Computer Engineering degrees from Purdue University in 1998 and 2003, respectively. His research interests include Access Control Models, Security and Privacy of Distributed Multimedia Systems, Trust Management and Information Survivability. He is a recipient of the NSF-CAREER award in 2006. He directors the NSF Scholarship for Service program at the University of Pittsburgh.
About the Panelists
Dr. Krishna Kant is currently a Research Professor at the Center for Secure Information Systems at George Mason University, Fairfax VA. He is also serving as a program director at the National Science Foundation where he runs the Computer Systems Research (CSR) program and is actively involved in driving the foundation wide SEES (Science, Engineering, and Education for Sustainability) program. His current areas of research include robustness in the Internet, cloud computing security, and sustainable computing. He carries 30 years of combined experience in academia, industry, and government. He has published in a wide variety of areas in computer science and has authored a graduate textbook on performance modeling of computer systems. He received his Ph.D. degree in 1981 from University of Texas at Dallas. He has since held positions at Northwestern University, Pennsylvania State University, Bell Labs, Bellcore (Telcordia), Intel, NSF, and GMU.
Dr. C. Lee Giles is the David Reese Professor of Information Sciences and Technology at the Pennsylvania State University, University Park, PA, USA with appointments in the departments of Computer Science and Engineering, and Supply Chain and Information His research interests are in intelligent cyberinfrastructure, web tools, specialty search engines, information retrieval, digital libraries, web services, knowledge and information extraction, data mining, name matching and disambiguation, and social networks. He has published over 300 papers in these areas. He was a cocreator of the popular search engines and tool, CiteSeer (now CiteSeerX) for computer science. He also was a cocreater of an early metasearch engine, Inquirus; ChemXSeer, for chemistry; the first search engine for robots.txt, BotSeer; and the first for academic business, SmealSearch. He is fellow of the ACM, IEEE and INNS.
Dr. Alexandros Labrinidis received his Ph.D degree in Computer Science from the University of Maryland, College Park in 2002. He is currently an associate professor at the Department of Computer Science of the University of Pittsburgh and co-director of the Advanced Data Management Technologies Lab. He is also an adjunct associate professor at Carnegie Mellon University (CS Dept). Dr. Labrinidis' research focuses on user-centric data management for network-centric applications, including web-databases, data stream management systems, sensor networks, and scientific data management (with an emphasis on big data). He has published over 60 papers at peer-reviewed journals, conferences, and workshops; he is the recipient of an NSF CAREER award in 2008. Dr. Labrinidis is currently the Secretary/Treasurer for ACM SIGMOD, and has served as the Editor of SIGMOD Record, and in numerous program committees of international conferences/workshops.
