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Preserving Privacy In On Line Analytical Processing Olap


Preserving Privacy In On Line Analytical Processing Olap
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Preserving Privacy In On Line Analytical Processing Olap


Preserving Privacy In On Line Analytical Processing Olap
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Author : Lingyu Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-06

Preserving Privacy In On Line Analytical Processing Olap written by Lingyu Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-06 with Computers categories.


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.



Privacy In Statistical Databases


Privacy In Statistical Databases
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Author : Josep Domingo-Ferrer
language : en
Publisher: Springer Nature
Release Date : 2022-09-14

Privacy In Statistical Databases written by Josep Domingo-Ferrer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Computers categories.


​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.



Security And Privacy Assurance In Advancing Technologies New Developments


Security And Privacy Assurance In Advancing Technologies New Developments
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Author : Nemati, Hamid
language : en
Publisher: IGI Global
Release Date : 2010-11-30

Security And Privacy Assurance In Advancing Technologies New Developments written by Nemati, Hamid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-30 with Computers categories.


"This book provides a comprehensive collection of knowledge from experts within the field of information security and privacy and explores the changing roles of information technology and how this change will impact information security and privacy"--Provided by publisher.



Privacy Respecting Intrusion Detection


Privacy Respecting Intrusion Detection
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Author : Ulrich Flegel
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-28

Privacy Respecting Intrusion Detection written by Ulrich Flegel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-28 with Computers categories.


Computer and network security is an issue that has been studied for many years. The Ware Report, which was published in 1970, pointed out the need for c- puter security and highlighted the di?culties in evaluating a system to determine if it provided the necessary security for particular applications. The Anderson Report, published in 1972, was the outcome of an Air Force Planning Study whose intent was to de?ne the research and development paths required to make secure computers a reality in the USAF. A major contribution of this report was the de?nition of the reference monitor concept, which led to security kernel architectures. In the mid to late 1970s a number of systems were designed and implemented using a security kernel architecture. These systems were mostly sponsored by the defense establishment and were not in wide use. Fast forwarding to more recent times, the advent of the world-wide web, inexp- sive workstations for the o?ce and home, and high-speed connections has made it possible for most people to be connected. This access has greatly bene?ted society allowing users to do their banking, shopping, and research on the Int- net. Most every business, government agency, and public institution has a public facing web page that can be accessed by anyone anywhere on the Internet. - fortunately, society’s increased dependency on networked software systems has also given easy access to the attackers, and the number of attacks is steadily increasing.



Privacy Preserving Machine Learning


Privacy Preserving Machine Learning
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Author : J. Morris Chang
language : en
Publisher: Simon and Schuster
Release Date : 2023-05-02

Privacy Preserving Machine Learning written by J. Morris Chang and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-02 with Computers categories.


Keep sensitive user data safe and secure, without sacrificing theaccuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Differential privacy techniques and their application insupervised learning Privacy for frequency or mean estimation, Naive Bayes classifier, and deep learning Designing and applying compressive privacy for machine learning Privacy-preserving synthetic data generation approaches Privacy-enhancing technologies for data mining and database applications Privacy Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You'll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels and seniorities will benefit from incorporating these privacy-preserving practices into their model development.



Encyclopedia Of Data Warehousing And Mining Second Edition


Encyclopedia Of Data Warehousing And Mining Second Edition
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2008-08-31

Encyclopedia Of Data Warehousing And Mining Second Edition written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-31 with Computers categories.


There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.



Vulnerability Analysis And Defense For The Internet


Vulnerability Analysis And Defense For The Internet
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Author : Abhishek Singh
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-24

Vulnerability Analysis And Defense For The Internet written by Abhishek Singh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-24 with Computers categories.


Vulnerability analysis, also known as vulnerability assessment, is a process that defines, identifies, and classifies the security holes, or vulnerabilities, in a computer, network, or application. In addition, vulnerability analysis can forecast the effectiveness of proposed countermeasures and evaluate their actual effectiveness after they are put into use. Vulnerability Analysis and Defense for the Internet provides packet captures, flow charts and pseudo code, which enable a user to identify if an application/protocol is vulnerable. This edited volume also includes case studies that discuss the latest exploits.



Encyclopedia Of Business Analytics And Optimization


Encyclopedia Of Business Analytics And Optimization
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2014-02-28

Encyclopedia Of Business Analytics And Optimization written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.


As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.



Secure Data Management In Decentralized Systems


Secure Data Management In Decentralized Systems
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Author : Ting Yu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-11

Secure Data Management In Decentralized Systems written by Ting Yu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-11 with Computers categories.


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.



Big Data


Big Data
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2015-09-15

Big Data written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with Computers categories.


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. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.