Data Security Data Mining And Data Management

Data Security  Data Mining  and Data Management PDF Book Detail:
Author: Serge O'Byrne
Publisher: Nova Science Pub Incorporated
ISBN: 9781624175824
Size: 26.11 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 81
View: 3989

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Book Description: In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include clustering algorithms in radiobiology and DNA damage quantification; data mining for searching genomic information; data management in the semantic web; and how fragile data security can be when the system architecture, authorization and validation is founded on a personal identification number (PIN).

Data Security Data Mining And Data Management

Data Security  Data Mining and Data Management PDF Book Detail:
Author: Serge O'Byrne
Publisher: Novinka Books
ISBN: 9781624175831
Size: 37.17 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 92
View: 944

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Book Description: In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include clustering algorithms in radiobiology and DNA damage quantification; data mining for searching genomic information; data management in the semantic web; and how fragile data security can be when the system architecture, authorization and validation is founded on a personal identification number (PIN).

Developing And Securing The Cloud

Developing and Securing the Cloud PDF Book Detail:
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1439862923
Size: 29.78 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 730
View: 7222

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Book Description: Although the use of cloud computing platforms and applications has expanded rapidly, most books on the subject focus on high-level concepts. There has long been a need for a book that provides detailed guidance on how to develop secure clouds. Filling this void, Developing and Securing the Cloud provides a comprehensive overview of cloud computing technology. Supplying step-by-step instruction on how to develop and secure cloud computing platforms and web services, it includes an easy-to-understand, basic-level overview of cloud computing and its supporting technologies. Presenting a framework for secure cloud computing development, the book describes supporting technologies for the cloud such as web services and security. It details the various layers of the cloud computing framework, including the virtual machine monitor and hypervisor, cloud data storage, cloud data management, and virtual network monitor. It also provides several examples of cloud products and prototypes, including private, public, and U.S. government clouds. Reviewing recent developments in cloud computing, the book illustrates the essential concepts, issues, and challenges in developing and securing today’s cloud computing platforms and applications. It also examines prototypes built on experimental cloud computing systems that the author and her team have developed at the University of Texas at Dallas. This diverse reference is suitable for those in industry, government, and academia. Technologists will develop the understanding required to select the appropriate tools for particular cloud applications. Developers will discover alternative designs for cloud development, and managers will understand if it’s best to build their own clouds or contract them out.

Data Management Technologies And Applications

Data Management Technologies and Applications PDF Book Detail:
Author: Markus Helfert
Publisher: Springer
ISBN: 3319301624
Size: 62.37 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 155
View: 120

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Book Description: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2015, held in Colmar, France, in July 2015. The 9 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.

Database And Applications Security

Database and Applications Security PDF Book Detail:
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1135489106
Size: 44.76 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 656
View: 123

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Book Description: This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications. It provides directions for data and application security, including securing emerging applications such as bioinformatics, stream information processing and peer-to-peer computing. Divided into eight sections,

Advances In Knowledge Discovery And Data Mining

Advances in Knowledge Discovery and Data Mining PDF Book Detail:
Author: Wee Keong Ng
Publisher: Springer
ISBN: 3540332073
Size: 12.64 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 879
View: 1143

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Book Description: This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.

Data Security And Security Data

Data Security and Security Data PDF Book Detail:
Author: Lachlan MacKinnon
Publisher: Springer Science & Business Media
ISBN: 3642257038
Size: 28.89 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 155
View: 6091

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Book Description: This book constitutes the thoroughly refereed post-conference proceedings of the 27th British National Conference on Databases, BNCOD 27, held in Dundee, UK, in June 2010. The 10 revised full papers and 6 short papers, presented together with 3 invited papers, 1 best paper of the associated event on Teaching, Learning and Assessment of Databases (TLAD), and 2 PhD forum best papers were carefully reviewed and selected from 42 submissions. Special focus of the conference has been "Data Security and Security Data" and so the papers cover a wide range of topics such as data security, privacy and trust, security data, data integration and interoperability, data management for ubiquitous and mobile computing, data mining and information extraction, data modelling and architectures, data provenance, dataspaces, data streaming, databases and the grid, distributed information systems, electronic commerce, enterprise systems, heterogeneous databases, industrial applications, infrastructures and systems, intermittently connected data, file access methods and index structures, managing legacy data, new applications and processes, parallel and distributed databases, peer-to-peer data management, performance modelling of ubiquitous data use, personal data management, query and manipulation languages, query processing and optimisation, scientific applications, semantic Web and ontologies, semi-structured data, metadata and xml, user interfaces and data visualisation, Web data management and deep Web, Web services, and workflow support systems.

Secure Data Provenance And Inference Control With Semantic Web

Secure Data Provenance and Inference Control with Semantic Web PDF Book Detail:
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1466569433
Size: 80.90 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 478
View: 5414

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Book Description: With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment of derivations to update data, and provide attribution of the data source. Secure Data Provenance and Inference Control with Semantic Web supplies step-by-step instructions on how to secure the provenance of your data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, you can easily apply the methods presented in the book to a range of other domains. The book describes the design and implementation of a policy engine for provenance and demonstrates the use of Semantic Web technologies and cloud computing technologies to enhance the scalability of solutions. It covers Semantic Web technologies for the representation and reasoning of the provenance of the data and provides a unifying framework for securing provenance that can help to address the various criteria of your information systems. Illustrating key concepts and practical techniques, the book considers cloud computing technologies that can enhance the scalability of solutions. After reading this book you will be better prepared to keep up with the on-going development of the prototypes, products, tools, and standards for secure data management, secure Semantic Web, secure web services, and secure cloud computing.

Intelligence And Security Informatics

Intelligence and Security Informatics PDF Book Detail:
Author: Hsinchun Chen
Publisher: Springer
ISBN: 3540333622
Size: 63.76 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 188
View: 6115

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Book Description: This book constitutes the refereed proceedings of the International Workshop on Intelligence and Security Informatics, WISI 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining. The 32 papers presented together with the abstract of the keynote talk were carefully reviewed. The papers are organized in sections on Web and text mining for terrorism informatics, cybercrime analysis, network security, and crime data mining.

Emerging Technologies In Data Mining And Information Security

Emerging Technologies in Data Mining and Information Security PDF Book Detail:
Author: Ajith Abraham
Publisher: Springer
ISBN: 9811314985
Size: 43.58 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 885
View: 1072

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Book Description: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.