Preserving Privacy in On-Line Analytical Processing (OLAP)

Preserving Privacy in On-Line Analytical Processing (OLAP) PDF Author: Lingyu Wang
Publisher: Springer Science & Business Media
ISBN: 0387462740
Category : Computers
Languages : en
Pages : 180

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Book Description
This book addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data.

Preserving Privacy in On-Line Analytical Processing (OLAP)

Preserving Privacy in On-Line Analytical Processing (OLAP) PDF Author: Lingyu Wang
Publisher: Springer Science & Business Media
ISBN: 0387462740
Category : Computers
Languages : en
Pages : 180

Get Book Here

Book Description
This book addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data.

Big Data

Big Data PDF Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 1482240564
Category : Computers
Languages : en
Pages : 478

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Book Description
As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre

Secure Data Management in Decentralized Systems

Secure Data Management in Decentralized Systems PDF Author: Ting Yu
Publisher: Springer Science & Business Media
ISBN: 0387276963
Category : Computers
Languages : en
Pages : 461

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Book Description
The field of database security has expanded greatly, with the rapid development of global inter-networked infrastructure. Databases are no longer stand-alone systems accessible only to internal users of organizations. Today, businesses must allow selective access from different security domains. New data services emerge every day, bringing 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, presenting threats and challenges of their own. This book identifies and addresses these new challenges and more, offering solid advice for practitioners and researchers in industry.

Novel Algorithms and Techniques in Telecommunications and Networking

Novel Algorithms and Techniques in Telecommunications and Networking PDF Author: Tarek Sobh
Publisher: Springer Science & Business Media
ISBN: 9048136628
Category : Technology & Engineering
Languages : en
Pages : 502

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Book Description
Novel Algorithms and Techniques in Telecommunications and Networking includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology and Automation, Telecommunications and Networking. Novel Algorithms and Techniques in Telecommunications and Networking includes selected papers form the conference proceedings of the International Conference on Telecommunications and Networking (TeNe 08) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2008).

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery PDF Author: A Min Tjoa
Publisher: Springer Science & Business Media
ISBN: 354028558X
Category : Business & Economics
Languages : en
Pages : 551

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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2005, held in Copenhagen, Denmark, in August 2005. The 51 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on data warehouses, evaluation and tools, schema transformations, materialized views, aggregates, data warehouse queries and database processing issues, data mining algorithms and techniques, association rules, text processing and classification, security and privacy issues, patterns, and cluster and classification.

Database Technologies: Concepts, Methodologies, Tools, and Applications

Database Technologies: Concepts, Methodologies, Tools, and Applications PDF Author: Erickson, John
Publisher: IGI Global
ISBN: 1605660590
Category : Business & Economics
Languages : en
Pages : 2962

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Book Description
"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.

Algorithms and Architectures for Data Privacy

Algorithms and Architectures for Data Privacy PDF Author: Dilys Thomas
Publisher:
ISBN:
Category :
Languages : en
Pages : 198

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Book Description


Privacy in Statistical Databases

Privacy in Statistical Databases PDF Author: Josep Domingo-Ferrer
Publisher: Springer Nature
ISBN: 3031139453
Category : Computers
Languages : en
Pages : 375

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Book Description
​This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2022, held in Paris, France, during September 21-23, 2022. The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Handbook of Research on Machine and Deep Learning Applications for Cyber Security PDF Author: Ganapathi, Padmavathi
Publisher: IGI Global
ISBN: 1522596135
Category : Computers
Languages : en
Pages : 506

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Book Description
As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Secure Data Management

Secure Data Management PDF Author: Willem Jonker
Publisher: Springer Science & Business Media
ISBN: 3642155456
Category : Business & Economics
Languages : en
Pages : 178

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Book Description
This book constitutes the proceedings of the 7th VLDB Workshop on Secure Data Management held in Singapore in September 17, 2010. The regular papers in the proceedings are grouped into two sections. The first section focuses on privacy. The papers in this section present a balanced mix of theoretical work on anonymity and application-oriented work. The second focuses on data security in open environments. The papers address issues related to the management of confidential data that is stored in or released to open environments, such as, for example, in cloud computing.