Privacy, Security, and Trust in Kdd: Second ACM Sigkdd International Workshop, Pinkdd 2008, Las Vegas, Nevada, August 24, 2008, Revised Selected Paper

ISBN-13: 9783642017179 / Angielski / Miękka / 2009 / 127 str.

Francesco Bonchi

Opis

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.

Spis treści

Invited Paper.- Data Mining for Security Applications and Its Privacy Implications.- Geocode Matching and Privacy Preservation.- Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project.- Contributed Papers.- Data and Structural k-Anonymity in Social Networks.- Composing Miners to Develop an Intrusion Detection Solution.- Malicious Code Detection Using Active Learning.- Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods.- Strategies for Effective Shilling Attacks against Recommender Systems.

Blurb

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008, held in Las Vegas, NV, USA, in March 2008 in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008.

The 5 revised full papers presented together with 1 invited keynote lecture and 2 invited panel sessions were carefully reviewed and selected from numerous submissions. The papers are extended versions of the workshop presentations and incorporate reviewers' comments and discussions at the workshop and represent the diversity of data mining research issues in privacy, security, and trust as well as current work on privacy issues in geographic data mining.