Secure Data Management, Willem Jonker; Milan Petkovi?

Автор: Ting Yu; Sushil Jajodia
Название: Secure Data Management in Decentralized Systems
ISBN: 1489996702 ISBN-13(EAN): 9781489996701
Издательство: Springer
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Цена: 23058.00 р.
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Описание: 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.

Автор: Milan Petkovic; Willem Jonker
Название: Security, Privacy, and Trust in Modern Data Management
ISBN: 3642089267 ISBN-13(EAN): 9783642089268
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services.

Автор: Joaquin Garcia-Alfaro; Guillermo Navarro-Arribas;
Название: Data Privacy Management and Autonomous Spontaneous Security
ISBN: 3642112064 ISBN-13(EAN): 9783642112065
Издательство: Springer
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Цена: 9781.00 р.
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Описание: 4th International Workshop DPM 2009 and Second International Workshop SETOP 2009 St Malo France Sep. .

Автор: Plattner Hasso
Название: Course in in-Memory Data Management
ISBN: 3642552692 ISBN-13(EAN): 9783642552694
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management.

Автор: Joaquin Garcia-Alfaro; Guillermo Navarro-Arribas;
Название: Data Privacy Management, Cryptocurrencies and Blockchain Technology
ISBN: 3319678159 ISBN-13(EAN): 9783319678153
Издательство: Springer
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Цена: 9781.00 р.
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Описание: A Proof Calculus for Attack Trees in Isabelle.- Confidentiality of Interactions in Concurrent Object-Oriented Systems.- Using Oblivious RAM in Genomic Studies.- Towards Efficient and Secure Encrypted Databases: Extending.- Message-Locked Encryption in Three-Party Model.- Searchable Encrypted Relational Databases: Risks and Countermeasures.- Private verification of access on medical data: an initial study.- Default Privacy Setting Prediction by Grouping User's Attributes and Settings Preferences.- Bounding Privacy Leaks in Privacy Preserving Data Mining.- Threshold Single Password Authentication.- Towards A Toolkit for Utility and Privacy-Preserving Transformation of Semi-structured Data Using Data Pseudonymization.- Enforcement of External Anonymization.- DLoc: Distributed Auditing for Data Location Compliance in Cloud.- Inonymous: Anonymous Invitation-Based System.- Order-Preserving Encryption Using Approximate Integer Common Divisors.- Privacy-Preserving Deterministic Automata Evaluation with Encrypted Data Blocks.- Securing Proof-of-Stake Blockchain Protocols.- Merged Mining: Curse or Cure?.- Atomically Trading with Roger: Gambling on the success of a hardfork.- Smart Contracts and Blockchain Identity.- In Code We Trust? Measuring the Control Flow Immutability of All.- Smart Contracts Deployed on Ethereum.- Who Am I? Secure Identity Registration on Distributed Ledgers.- User-centric System for Verified Identities on the Bitcoin Blockchain.- Towards a Concurrent and Distributed Route Selection for Payment Channel Networks.- Graphene: A New Protocol for Block Propagation Using Set Reconciliation.- Revisiting Difficulty Control for Blockchain Systems.- Secure Event Tickets on a Blockchain.

Автор: Marek R. Ogiela; Urszula Ogiela
Название: Secure Information Management Using Linguistic Threshold Approach
ISBN: 1447150155 ISBN-13(EAN): 9781447150152
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book details linguistic threshold schemes for information sharing. It examines the opportunities of using these techniques to create new models of managing strategic information shared within a commercial organisation or a state institution.

Автор: Hu & Kaabouch
Название: Big Data Management, Technologies, And Applications
ISBN: 1466646993 ISBN-13(EAN): 9781466646995
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.

Автор: Wang
Название: Biomedical Data Management and Graph Online Querying
ISBN: 3319415751 ISBN-13(EAN): 9783319415758
Издательство: Springer
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Цена: 6988.00 р.
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Описание:

Information Retrieval and Data Analytics for Electronic Medical Records.- Vector Space Model for Encoding and Retrieving Longitudinal Medical Records Data.- The Study of the Compatibility Rules of Traditional Chinese Medicine Based on Apriori and HMETIS Hypergraph Partitioning Algorithm.- Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Texts.- Data Management and Visualization of Medical Data.- Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and Clinical Profile.- Secure Similarity Queries: Enabling Precision Medicine with Privacy.- Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System.- Biomedical Data Sharing and Integration.- Challenges of Reasoning with Multiple Knowledge Sources in the Context of Drug Induced Liver Injury.- BiobankCloud: a Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets.- Medical Imaging Analytics.- Three-Dimensional Data Analytics for Pathology Imaging.- Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC.- SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies.- Big-Graphs Online Querying.- Social Network Analytics: Beyond the Obvious.- S2X: Graph-Parallel Querying of RDF with GraphX.- The Time Has Come: Traversal and Reachability in Time-Varying Graphs.- Robust Cardinality Estimation for Subgraph Isomorphism Queries on Property Graphs.

Автор: Spyros Blanas; Rajesh Bordawekar; Tirthankar Lahir
Название: Data Management on New Hardware
ISBN: 3319561103 ISBN-13(EAN): 9783319561103
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016.

Автор: Fusheng Wang; Lixia Yao; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319577409 ISBN-13(EAN): 9783319577401
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.

Автор: Chiara Francalanci; Markus Helfert
Название: Data Management Technologies and Applications
ISBN: 3319629107 ISBN-13(EAN): 9783319629100
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016.

Автор: Edmon Begoli; Fusheng Wang; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319671855 ISBN-13(EAN): 9783319671857
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017.