Secure Data Management : Third VLDB Workshop, SDM 2006, Seoul, Korea, September 10-11, 2006, Proceedings / edited by Willem Jonker, Milan Petkovic.

Format:

Book

Contributor:

Jonker, Willem, 1962- editor.

Petković, Milan, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 4165.

Information Systems and Applications, incl. Internet/Web, and HCI ; 4165

Language:

English

Subjects (All):

Data structures (Computer science).

Database management.

Information storage and retrieval.

Computer networks.

Data encryption (Computer science).

Operating systems (Computers).

Data Structures and Information Theory.

Database Management.

Information Storage and Retrieval.

Computer Communication Networks.

Cryptology.

Operating Systems.

Local Subjects:

Data Structures and Information Theory.

Database Management.

Information Storage and Retrieval.

Computer Communication Networks.

Cryptology.

Operating Systems.

Physical Description:

1 online resource (X, 185 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

Recent developments in computer, communication, and information techno- gies, along with increasingly interconnected networks and mobility have est- lished new emerging technologies, such as ubiquitous computing and ambient intelligence, as a very important and unavoidablepartof everydaylife. However, this development has greatly in?uenced people's security concerns. As data is accessible anytime from anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. As another consequence, the use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information and endanger people's privacy. Therefore, research in the area of secure data management is of growing imp- tance, attracting the attention of both the data management and security - search communities. The interesting problems range from traditional ones such asaccesscontrol(withallvariations,likerole-basedand/orcontext-aware),da- base security, operations on encrypted data, and privacy preserving data mining to cryptographic protocols. The call for papers attracted 33 papers both from universities and ind- try. The program committee selected 13 research papers for presentation at the workshop. These papers are also collected in this volume, which we hope will serve you as useful research and reference material.

Contents:

Privacy Protection

Indistinguishability: The Other Aspect of Privacy

Sovereign Information Sharing Among Malicious Partners

Temporal Context Lie Detection and Generation

Secure Anonymization for Incremental Datasets

Privacy Preserving Data Management

Difference Set Attacks on Conjunctive Keyword Search Schemes

Off-Line Keyword Guessing Attacks on Recent Keyword Search Schemes over Encrypted Data

Privacy Preserving BIRCH Algorithm for Clustering over Vertically Partitioned Databases

Access Control

Conflict of Interest in the Administrative Role Graph Model

Two Phase Filtering for XML Access Control

Hybrid Authorizations and Conflict Resolution

Database Security

Analysis of a Database and Index Encryption Scheme - Problems and Fixes

Information Disclosure by XPath Queries

SPIDER: An Autonomic Computing Approach to Database Security Management.

Other Format:

Printed edition:

ISBN:

978-3-540-38987-3

9783540389873

Access Restriction:

Restricted for use by site license.