Privacy and Security Issues in Data Mining and Machine Learning : International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers

by Dimitrakakis, Christos; Gkoulalas-divanis, Aris; Mitrokotsa, Aikaterini; Vassilios, S. Verykios

• ISBN13: 9783642198953
• ISBN10: 3642198953
• Format: Paperback
• Copyright: 2011-07-25
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010.The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior incomputer systems.

Table of Contents

Edit Constraints on Microaggregation and Additive Noise	p. 1
Preserving Privacy in Data Mining via Importance Weighting	p. 15
Quadratic Error Minimization in a Distributed Environment with Privacy Preserving	p. 22
Secure Top-k Subgroup Discovery	p. 36
ASAP: Automatic Semantics-Aware Analysis of Network Payloads	p. 50
Temporal Defenses for Robust Recommendations	p. 64
SBAD: Sequence Based Attack Detection via Sequence Comparison	p. 78
Classifier Evasion: Models and Open Problems	p. 92
Large Margin Multiclass Gaussian Classification with Differential Privacy	p. 99
Privacy Preserving Protocols for Eigenvector Computation	p. 113
Content-Based Filtering in On-Line Social Networks	p. 127
Author Index	p. 141
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