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Keynote Speaker - Bhavani Thuraisingham
Title
Privacy, Security and Trust for Data Mining
Extended Abstract
There has been much interest recently on using data mining for counter-terrorism applications. For example, data mining can be used to detect unusual patterns, terrorist activities and fraudulent behavior. While all of these applications of data mining can benefit humans, there is also a negative side to this technology, since it could be a threat to the privacy of individuals. This is because data mining tools are available on the web or otherwise and even na•ve users can apply these tools to extract information from the data stored in various databases and files and consequently violate the privacy of the individuals. In this presentation we will discuss the relationships between data mining and PST (privacy, security and trust).
Much of the recent research that relates data mining with PST has focused on privacy preserving data mining as well as on data mining applications for both national security and cyber security. With privacy preserving data mining, the challenge is to carry out data mining but at the same time protect the sensitive values. There is also some work on the inference problem that could arise due to data mining. For example, by associating unclassified pieces of data one can infer some top secret data. Our research has focused on developing inference controllers to ensure that users do not acquire information that they are not authorized to know. We have proved that the general inference problem is unsolvable and have examined special cases of the inference problem and provided solutions.
Trust aspects related to data mining have received little attention. For example, how cam you trust the results of the data miner? How can you trust the data that is being used for data mining? In the latter case we can use data quality tools to determine the trustworthiness of the data. In the former case we need to assure that the software used to carry out mining is trustworthy. Therefore we need to apply software and information assurance techniques for data mining. Another aspect with trust is that do we trust the individuals to receive the results of data mining? We need to investigate the applications of trust related research for data mining.
This presentation will provide an overview of the relationships of data mining to PST and then explore various solutions to the problems. We will also provide directions. As we have stated in our papers and presentations, it is critical that policy makers, legal analysts, technologists, security experts and privacy advocates work together to develop flexible and practical solutions for data mining.
Biography
Prof. Bhavani Thuraisingham joined The University of Texas at Dallas (UTD) in October
2004 as a Professor of Computer Science and Director of the Cyber Security Research Center in the
Erik Jonsson School of Engineering and Computer Science. She is an elected Fellow of three
professional organizations: the IEEE (Institute for Electrical and Electronics Engineers), the AAAS
(American Association for the Advancement of Science) and the BCS (British Computer Society) for her
work in data security. She received the IEEE Computer Society's prestigious 1997 Technical
Achievement Award for "outstanding and innovative contributions to secure data management." Her
current research areas include assured information sharing and trustworthy semantic web, secure
geospatial information management, and security, surveillance and privacy technologies. Prior to
joining UTD, Dr. Thuraisingham worked for the MITRE Corporation for 16 years which included an IPA
(Intergovernmental Personnel Act) at the National Science Foundation as Program Director for Data and
Applications Security. At MITRE she conducted research in secure data management and data mining and
was also a department head in Information and Data Management as well as served as a consultant to
the DoD, Intelligence Community and the Treasury. Her work in information security and information
management has resulted in over 80 journal articles, over 200 refereed conference papers, and three
US patents. She is the author of eight books in data management, data mining and data security and
teaches courses in data security and digital forensics. She is actively involved in promoting Math
and Science for women and underrepresented minorities and gives talks at SWE, WITI and Career
Communications Inc. Thuraisingham was educated in the United Kingdom both at the University of
Bristol and the University of Wales.
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14 July 2008
Invited Session
We will have an invited session on
Geospatial Privacy Protection. Invited speakers:
Peter Christen and
Franco Turini.
5 July 2008
Accepted Papers
A list of accepted papers can be found here.
30 May 2008
Deadline Extension
Paper submission deadline is extended to June 6, 2008.
15 May 2008
Paper Publication
This year's post-workshop proceedings will be published as a volume
in Lecture Notes in Computer Science www.springer.com/lncs.
7 May 2008
Invited Speaker
Bhavani Thuraisingham
will be PinKDD08 Keynote Speaker.
19 March 2008
PinKDD08 Workshop
The Second ACM SIGKDD International Workshop on Privacy,
Security, and Trust in KDD (PinKDD08) has been accepted as full-day
workshop, to be held in conjunction with the 14th ACM SIGKDD conference on August
24-27, 2008 in Las Vegas, Nevada.
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