Privacy, Security, and Trust in KDD

Privacy, security, and trust in data mining are crucial and related issues that havecapturedthe attentionofmany researchers,administrators,andlegislators. Consequently, data mining for improved security and the study of suitable trust models, as well as data mining side-e?ects on privacy, have rapidly become a hot and lively research area. The issues are rooted in the real-worldand concern academia, industry, government, and society in general. The issues are global, andmanygovernmentsarestrugglingtosetnationalandinternationalpolicieson privacy, security, and trust for data mining endeavors. In industry, this is made evident by the fact that major corporations, many of which are key suppo- ers of knowledge discovery and data mining (KDD) including IBM, Microsoft, and Yahoo!, are allocating signi?cant resources to study and develop comm- cial products that address these issues. For example, at last year s PinKDD workshop, researchers from Yahoo! Research won the best paper awardfor their analysisof privacy issues in search queries. Beyondresearch,IBM has sponsored 1 2 aPrivacyInstitute and developed products, such as Hippocratic Databases . These e?orts have only scratched the surface of the problem, and there remain many open research issues for further investigation. For instance, the National Science Foundationrecently funded the multi-institutional Teamfor Researchin 3 SecureTechnologies (TRUST)whereprivacy-preservingdataminingisaprin- pal focus of researchers workin areasranging from healthcare to wirelesssensor networks. The analysis of the security, privacy, and trust aspects of data mining has begun, but they are still relatively new concepts and require workshops to promote public awareness and to present emerging research.