Secure Data Management in Decentralized Systems

The field of database security has expanded greatly, with the rapid development of global inter-networked infrastructure. This book identifies and addresses these new challenges and more, offering solid advice for practitioners and researchers in industry.

The field of database security has expanded greatly, due to the rapid development of the global inter-networked infrastructure. Databases are no longer stand-alone systems accessible only to internal users of organizations. Today, many businesses must allow selective access from different security domains. New data services emerge every day, which brings new and more complex challenges to those whose job is to protect data security. The internet and the web offer means for collecting and sharing data with unprecedented flexibility and convenience, and presents threats and challenges of its own. This book identifies and addresses these new challenges and more. This volume presents a wide range of active areas, closely related to database security by distinguished leaders within this field. Solutions are included. Secure Data Management in Decentralized Systems is designed for a professional audience of practitioners and researchers in industry. This book is suitable for graduate-level students in computer science as well.

Presents a wide range of active areas, closely related to database security Topics include relational databases, XML and object-oriented database authorization and enforcement, distributed trust management, privacy protection, security in new data services Includes solutions Ting Yu is a member of the Cyber Defense Laboratory at North Carolina State University Sushil Jajodia is professor of information technology and the director of the Center for Secure Information Systems at George Mason University, USA Includes supplementary material: sn.pub/extras

Klappentext

The research scope of database security has expanded greatly, due to the rapid development of the global inter-networked infrastructure. Databases are no longer stand-alone systems that are only accessible to internal users of organizations. Instead, allowing selective access from different security domains has become a must for many business practices.

New data services are emerging every day, which also brings new challenges to protect data security. The internet and the web offer means for collecting and sharing data with unprecedented flexibility and convenience. Secure Data Management in Decentralized Systems identifies and addresses these new challenges. This volume presents a wide range of active areas, closely related to database security by distinguished leaders within this field. Solutions are included.

Secure Data Management in Decentralized Systems is designed for a professional audience composed of practitioners and researchers in industry. This book is suitable for graduate-level students in computer science as well.

Inhalt
Foundation.- Basic Security Concepts.- Access Control Policies and Languages in Open Environments.- Trusted Recovery.- Access Control for Semi-Structured Data.- Access Control Policy Models for XML.- Optimizing Tree Pattern Queries over Secure XML Databases.- Distributed Trust Management.- Rule-based Policy Specification.- Automated Trust Negotiation in Open Systems.- Building Trust and Security in Peer-to-Peer Systems.- Privacy in Cross-Domain Information Sharing.- Microdata Protection.- ?-Anonymity.- Preserving Privacy in On-line Analytical Processing Data Cubes.- Security in Emerging Data Services.- Search on Encrypted Data.- Rights Assessment for Relational Data.