Data Confidentiality Workshop
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WORKSHOP ON DATA CONFIDENTIALITY

September 6-7, 2007 in Arlington, VA

White Paper & Bio


Data misuses and data confidentiality breaches may have severe consequences on individual privacy, businesses, and national security. Even though data privacy and confidentiality have been widely investigated, we today face new challenges because of new data management applications, new software paradigms, new distributed collaborative applications, and requirements to achieve high assurance data sharing processes. In what follows, I elaborate on some challenges.


1) Risk-based Access Control

Today the need for sharing information within the same organization and across organizations is a pressing need. However, sharing data very often incurs risks. Therefore, at the end one has to tradeoff the benefits and the risks of data sharing. Quantifying those benefits and risks is a major challenge. It involves assessing the value of data, the potential damage that may arise if data is improperly disclosed, the benefit deriving from sharing the data for the party owning the data and the party receiving the data. Also one needs to determine in which form data is to be released, for example data can be anonymized or summarized, depending on the data value and the foreseen usage of the data. A party that has to decide about releasing some data to other parties may need to acquire data about these parties in order to make such decision. Policy languages are needed allowing a party to specify its own conditions and requirements for sharing its own data. Confidentiality-preserving protocols are required to manage such data and to verify policy conditions against such data.


2) Assured Information Sharing
Data sharing may occur today in a large variety of forms, such as data shipping, (private) information retrieval, data integration in common repositories, publish-subscribe systems. For each such data sharing approaches, we need to understand which the best data confidentiality
techniques are. Fine-grained access control is also relevant here. We need to understand which assurance level can be provided about the usage of data when released to other parties. Solutions are both technical and organizational. When dealing with collaborative applications, these applications need to come up with a common access control policy; we thus need approaches for fine-grained policy integration. A party acquiring some data may also want assurance on the
origin of the received data and to know the policies under which such data had been disclosed. Those are important for data accountability. A party releasing some data may want to be notified by the receiving party about the use of these data and transfer to third party. However, such
information may be business-confidential for the receiving party and therefore negotiation protocols must be in place.


3) Data Confidentiality in Service-Oriented Architectures (SOA)
Modern middleware and applications will increasingly rely on SOA. We need to understand the implication on data confidentially (and security more in general) of such fragmented and highly dynamic architectures. Another direction is to use SOA to support data confidentiality (and security). We need to understand whether it is possible to provide services for data confidentiality that could be invoked by applications characterized by complex access control requirements.


4) Data Confidentiality and Privacy Requirements for Novel Data Management Systems and Applications
There are several specialized data management systems for which confidentiality has not been much investigated. Notable examples include streaming database systems, and geographical information systems. We need to identify access control and privacy requirements for these
systems. We see also the emergence of the so-called Web 2.0 that embraces new collaborative applications and also indicates a new "social" approach to generating and distributing Web content, characterized by open communication, decentralization of authority, and freedom to share and re-use. Implicit and explicit in many Web 2.0 applications are social networks, through which users share and filter content, collaborate, seek information, and interact socially on the Web. We need to understand the privacy and confidentiality requirements of these new exciting applications.

Elisa Bertino

Purdue University

CS Department and CERIAS

 

Biographical Data

 

Elisa Bertino is professor of Computer Sciences at Purdue University and serves as Research Director of the Center for Education and Research in Information Assurance and Security (CERIAS). Previously she was a faculty member at Department of Computer Science and Communication of the University of Milan where she directed the DB&SEC laboratory. She has
been a visiting researcher at the IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics and Computer Technology Corporation, at Rutgers University, at Telcordia Technologies. Her main research interests include security, privacy, digital identity management systems, database systems, distributed systems, multimedia systems. In those areas, Prof. Bertino
has published more than 250 papers in all major refereed journals, and in proceedings of international conferences and symposia. She is a co-editor in chief of the Very Large Database Systems (VLDB) Journal and serves on the editorial boards of several scientific journals, incuding IEEE Internet Computing, IEEE Security&Privacy, ACM Transactions on Information and System Security. She is a Fellow member of IEEE and a Fellow member of ACM. She received the 2002 IEEE Computer Society Technical Achievement Award for "For outstanding contributions to database systems and database security and advanced data management systems" and the 2005 IEEE Computer Society Tsutomu Kanai Award “For pioneering and innovative research contributions to secure distributed systems”.