عنوان

Privacy-preserving data mining :

0387709916

0387709924

9780387709918

9780387709925

b707780

Privacy-preserving data mining :

[Book]

models and algorithms /

edited by Charu C. Aggarwal and Philip S. Yu.

New York :

Springer,

©2008.

1 online resource (xxii, 513 pages) :

illustrations

Advances in database systems ;

v. 34

Includes bibliographical references and index.

A survey of association rule hiding methods for privacy / Vassilios S. Verykios and Aris Gkoulalas-Divanis -- A survey of statistical approaches to preserving confidentiality of contigency table entries / Stephen E. Fienberg and Aleksandra B. Slavkovic -- A survey of privacy-preserving methods across horizontally partitioned data / Murat Kantarcioglu -- A survey of privacy-preserving methods across vertically partitioned data / Jaideep Vaidya -- A survey of attack techniques on privacy-preserving data perturbation methods / Kun Liu, Chris Giannella, and Hillol Kargupta -- Private data analysis via output perturbation / Kobbi Nissim -- A survey of query auditing techniques for data privacy / Shubha U. Nabar [and others] -- Privacy and the dimensionality curse / Charu C. Aggarwal -- Personalized privacy preservation / Yufei Tao and Xiaokui Xiao -- Privacy-preserving data stream classification / Yabo Xu [and others].

An introduction to privacy-preserving data mining / Charu C. Aggarwal, Philip S. Yu -- A general survey of privacy-preserving data mining models and algorithms / Charu C. Aggarwal, Philip S. Yu -- A survey of inference control methods for privacy-preserving data mining / Josep Domingo-Ferrer -- Measures of anonymity / Suresh Venkatasubramanian -- k-Anonymous data mining : a survey / V. Ciriani [and others] -- A survey of randomization methods for privacy-preserving data mining / Charu C. Aggarwal, Philip S. Yu -- A survey of multiplicative perturbation for privacy-preserving data mining / Keke Chen and Ling Liu -- A survey of quantification of privacy preserving data mining algorithms / Elisa Bertino, Dan Lin and Wei Jiang -- A survey of utility-based privacy-preserving data transformation models / Ming Hua and Jian Pei -- Mining association rules under privacy constraints / Jayant R. Haritsa.

0

0

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume also contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. Privacy Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science. This book is also suitable for practitioners in industry.

Springer

978-0-387-70991-8

Privacy-preserving data mining.

9780387709918

Computer security.

Data mining.

Data protection.

Computer security.

Computer security.

COMPUTERS-- Database Management-- Data Mining.

Data mining.

Data mining.

Data protection.

Data protection.

Informatique.

COM-- 021030

UR

UTN

Aggarwal, Charu C.

Yu, Philip S.

20201207225215.0

pn

[Book]

Y