Data Privacy Foundations New Developments And The Big Data Challenge

Download Data Privacy Foundations New Developments And The Big Data Challenge full books in PDF, epub, and Kindle. Read online Data Privacy Foundations New Developments And The Big Data Challenge ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Data Privacy: Foundations, New Developments and the Big Data Challenge

Author : Vicenç Torra
Publisher : Springer
ISBN 13 : 3319573586
Total Pages : 269 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Data Privacy: Foundations, New Developments and the Big Data Challenge by : Vicenç Torra

Download or read book Data Privacy: Foundations, New Developments and the Big Data Challenge written by Vicenç Torra and published by Springer. This book was released on 2017-05-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.

Big Data Analytics for Large-Scale Multimedia Search

Author : Stefanos Vrochidis
Publisher : John Wiley & Sons
ISBN 13 : 1119376971
Total Pages : 372 pages
Book Rating : 4.1/5 (193 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis

Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Handbook of Research on Big Data and the IoT

Author : Kaur, Gurjit
Publisher : IGI Global
ISBN 13 : 1522574336
Total Pages : 568 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Big Data and the IoT by : Kaur, Gurjit

Download or read book Handbook of Research on Big Data and the IoT written by Kaur, Gurjit and published by IGI Global. This book was released on 2019-03-29 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Guide to Data Privacy

Author : Vicenç Torra
Publisher : Springer Nature
ISBN 13 : 3031128370
Total Pages : 323 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Guide to Data Privacy by : Vicenç Torra

Download or read book Guide to Data Privacy written by Vicenç Torra and published by Springer Nature. This book was released on 2022-11-04 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data privacy technologies are essential for implementing information systems with privacy by design. Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement—among other models—differential privacy, k-anonymity, and secure multiparty computation. Topics and features: Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications) Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users Offers characterization of privacy models, comparing their differences, advantages, and disadvantages Describes some of the most relevant algorithms to implement privacy models Includes examples of data protection mechanisms This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview. Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.

Research Anthology on Privatizing and Securing Data

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799889556
Total Pages : 2188 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Research Anthology on Privatizing and Securing Data by : Management Association, Information Resources

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-04-23 with total page 2188 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Data Privacy Management, Cryptocurrencies and Blockchain Technology

Author : Joaquin Garcia-Alfaro
Publisher : Springer
ISBN 13 : 3030003051
Total Pages : 442 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Data Privacy Management, Cryptocurrencies and Blockchain Technology by : Joaquin Garcia-Alfaro

Download or read book Data Privacy Management, Cryptocurrencies and Blockchain Technology written by Joaquin Garcia-Alfaro and published by Springer. This book was released on 2018-09-06 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 2nd International Workshop on Cryprocurrencies and Blockchain Technology, CBT 2018, and the 13thInternational Workshop on Data Privacy Management, DPM 2018, on conjunction with the 23nd European Symposium on Research in Computer Security, ESORICS 2018, held in Barcelona, Spain, in September 2018. From the CBT Workshop 7 full and 8 short papers out of 39 submissions are included. The selected papers cover aspects of identity management, smart contracts, soft- and hardforks, proof-of-works and proof of stake as well as on network layer aspects and the application of blockchain technology for secure connect event ticketing. The DPM Workshop received 36 submissions from which 11 full and 5 short papers were selected for presentation. The papers focus on challenging problems such as translation of high-level buiness goals into system level privacy policies, administration of sensitive identifiers, data integration and privacy engineering.

Challenges in the IoT and Smart Environments

Author : Reza Montasari
Publisher : Springer Nature
ISBN 13 : 3030871665
Total Pages : 322 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Challenges in the IoT and Smart Environments by : Reza Montasari

Download or read book Challenges in the IoT and Smart Environments written by Reza Montasari and published by Springer Nature. This book was released on 2021-11-26 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an invaluable reference for those operating within the fields of Cyber Security, Digital Forensics, Digital Policing, Computer Science and Artificial Intelligence. The Internet of Things (IoT) ecosystem presents a wide range of consumer, infrastructure, organisational, industrial and military applications. The IoT technologies such as intelligent health-connected devices; unmanned aerial vehicles (UAVs); smart grids; cyber-physical and cyber-biological systems; and the Internet of Military/Battlefield Things offer a myriad of benefits both individually and collectively. For example, implantable devices could be utilised to save or enhance patients’ lives or offer preventative treatments. However, notwithstanding its many practical and useful applications, the IoT paradigm presents numerous challenges spanning from technical, legal and investigative issues to those associated with security, privacy and ethics. Written by internationally-renowned experts in the field, this book aims to contribute to addressing some of these challenges. Lawyers, psychologists and criminologists could also find this book a very valuable resource at their disposal, and technology enthusiasts might find the book interesting. Furthermore, the book is an excellent advanced text for research and master’s degree students as well as undergraduates at their final years of studies in the stated fields.

Security and Artificial Intelligence

Author : Lejla Batina
Publisher : Springer Nature
ISBN 13 : 3030987957
Total Pages : 365 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Security and Artificial Intelligence by : Lejla Batina

Download or read book Security and Artificial Intelligence written by Lejla Batina and published by Springer Nature. This book was released on 2022-04-07 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised.

Group Privacy

Author : Linnet Taylor
Publisher : Springer
ISBN 13 : 3319466089
Total Pages : 237 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Group Privacy by : Linnet Taylor

Download or read book Group Privacy written by Linnet Taylor and published by Springer. This book was released on 2016-12-28 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3030237567
Total Pages : 1392 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Author : Cengiz Kahraman
Publisher : Springer Nature
ISBN 13 : 3030511561
Total Pages : 1701 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Intelligent and Fuzzy Techniques: Smart and Innovative Solutions by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques: Smart and Innovative Solutions written by Cengiz Kahraman and published by Springer Nature. This book was released on 2020-07-10 with total page 1701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer Nature
ISBN 13 : 3030879860
Total Pages : 536 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer Nature. This book was released on 2021-10-04 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 12854 and 12855 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021, held in Zakopane, Poland, in June 2021. Due to COVID 19, the conference was held virtually. The 89 full papers presented were carefully reviewed and selected from 195 submissions. The papers included both traditional artificial intelligence methods and soft computing techniques as well as follows: · Neural Networks and Their Applications · Fuzzy Systems and Their Applications · Evolutionary Algorithms and Their Applications · Artificial Intelligence in Modeling and Simulation · Computer Vision, Image and Speech Analysis · Data Mining · Various Problems of Artificial Intelligence · Bioinformatics, Biometrics and Medical Applications

Privacy, Big Data, and the Public Good

Author : Julia Lane
Publisher : Cambridge University Press
ISBN 13 : 1107067359
Total Pages : 343 pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Privacy, Big Data, and the Public Good by : Julia Lane

Download or read book Privacy, Big Data, and the Public Good written by Julia Lane and published by Cambridge University Press. This book was released on 2014-06-09 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

Personal Analytics and Privacy. An Individual and Collective Perspective

Author : Riccardo Guidotti
Publisher : Springer
ISBN 13 : 331971970X
Total Pages : 159 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Personal Analytics and Privacy. An Individual and Collective Perspective by : Riccardo Guidotti

Download or read book Personal Analytics and Privacy. An Individual and Collective Perspective written by Riccardo Guidotti and published by Springer. This book was released on 2017-12-04 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.

Metaheuristics and Nature Inspired Computing

Author : Bernabé Dorronsoro
Publisher : Springer Nature
ISBN 13 : 3030942163
Total Pages : 230 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Metaheuristics and Nature Inspired Computing by : Bernabé Dorronsoro

Download or read book Metaheuristics and Nature Inspired Computing written by Bernabé Dorronsoro and published by Springer Nature. This book was released on 2022-02-21 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqally held online. The 16 papers were thoroughly reviewed and selected from the 53 submissions. They are organized in the topical sections on combinatorial optimization; continuous optimization; optimization and machine learning; applications.

Big Data Challenges

Author : Anno Bunnik
Publisher : Springer
ISBN 13 : 1349948853
Total Pages : 140 pages
Book Rating : 4.3/5 (499 download)

DOWNLOAD NOW!

Book Synopsis Big Data Challenges by : Anno Bunnik

Download or read book Big Data Challenges written by Anno Bunnik and published by Springer. This book was released on 2016-05-13 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

Privacy in Statistical Databases

Author : Josep Domingo-Ferrer
Publisher : Springer Nature
ISBN 13 : 3030575217
Total Pages : 371 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Privacy in Statistical Databases by : Josep Domingo-Ferrer

Download or read book Privacy in Statistical Databases written by Josep Domingo-Ferrer and published by Springer Nature. This book was released on 2020-09-16 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.