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Privacy and Data Protection Challenges in the Distributed Era, Politou


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Автор: Politou
Название:  Privacy and Data Protection Challenges in the Distributed Era
ISBN: 9783030854454
Издательство: Springer
Классификация:

ISBN-10: 3030854450
Обложка/Формат: Soft cover
Страницы: 185
Вес: 0.33 кг.
Дата издания: 07.11.2022
Серия: Learning and Analytics in Intelligent Systems
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 10 illustrations, color; xix, 185 p. 10 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten, on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.
Дополнительное описание: Chapter 1: Introduction.- Chapter 2: Privacy and personal data protection.- Chapter 3: The General Data Protection Regulation.- Chapter 4: The “Right to be Forgotten” in the GDPR: Implementation challenges and potential solutions.- Chapter 5: State-of-the



Privacy and Data Protection Challenges in the Distributed Era

Автор: Politou Eugenia, Alepis Efthimios, Virvou Maria
Название: Privacy and Data Protection Challenges in the Distributed Era
ISBN: 3030854426 ISBN-13(EAN): 9783030854423
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.

Legal and Ethical Challenges of Artificial Intelligence from an International Law Perspective

Автор: Tzimas
Название: Legal and Ethical Challenges of Artificial Intelligence from an International Law Perspective
ISBN: 3030785874 ISBN-13(EAN): 9783030785871
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book focuses on the legal regulation, mainly from an international law perspective, of autonomous artificial intelligence systems, of their creations, as well as of the interaction of human and artificial intelligence.

Big Health Data and the GDPR

Название: Big Health Data and the GDPR
ISBN: 0367077140 ISBN-13(EAN): 9780367077143
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book examines health and big data questions in light of the GDPR and the EU`s general data privacy legal framework. It addresses the opportunities and challenges of big health data and considers the GDPR`s responses to these from a variety of disciplines and perspectives.

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Personalized Privacy Protection in Big Data

Автор: Qu
Название: Personalized Privacy Protection in Big Data
ISBN: 9811637520 ISBN-13(EAN): 9789811637520
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic. In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

Security and Privacy Preserving for IoT and 5G Networks

Автор: Abd El-Latif
Название: Security and Privacy Preserving for IoT and 5G Networks
ISBN: 3030854302 ISBN-13(EAN): 9783030854300
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

Privacy and Data Protection in Software Services

Автор: Zhang, Bo Shu, Xujian
Название: Privacy and Data Protection in Software Services
ISBN: 9811630518 ISBN-13(EAN): 9789811630514
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The aim of the book is to create a bridge between two `lands` that are usually kept separate: technical tools and legal rules should be bound together for moulding a special `toolbox` to solve present and future issues.

Personalized Privacy Protection in Big Data

Автор: Qu Youyang, Nosouhi Mohammad Reza, Cui Lei
Название: Personalized Privacy Protection in Big Data
ISBN: 9811637490 ISBN-13(EAN): 9789811637490
Издательство: Springer
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Цена: 9083.00 р.
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Описание: - Chapter 1: Introduction

o Privacy research landscape

o Personalized privacy overview

o Contribution of this book

o Remainder of the book

- Chapter 2: Current Methods of Privacy Protection

o Cryptography based methods

o Differential privacy methods

o Anonymity-based methods

o Clustering-base methods

o Machine learning and AI methods

- Chapter 3: Privacy Attacks

o Attack classification

o Rationale of the attacks

o The comparison of attacks

- Chapter 4: Personalize Privacy Defense

o Personalized privacy in cyber-physical systems

o Personalized privacy in social networks

o Personalized privacy in smart city

o Personalized privacy in location-based services

o Personalized privacy on the rise

- Chapter 5: Future Directions

o Trade-off optimization

o Decentralized privacy protection

o Privacy-preserving federated learning

o Federated generative adversarial nets

- Chapter6: Summary and Outlook

ICT Systems Security and Privacy Protection

Автор: Lech Jan Janczewski; Miros?aw Kuty?owski
Название: ICT Systems Security and Privacy Protection
ISBN: 3030076369 ISBN-13(EAN): 9783030076368
Издательство: Springer
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Цена: 14674.00 р.
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Описание: This book constitutes the refereed proceedings of the 33rd IFIP TC 11 International Conference on Information Security and Privacy Protection, SEC 2018, held at the 24th IFIP World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018.

The 27 revised full papers presented were carefully reviewed and selected from 89 submissions. The papers present novel research on theoretical and practical aspects of security and privacy protection in ICT systems. They are organized in the following topical sections: authentication, failures of security management, security management/forensic, and software security/attacks.
Cybersecurity, Privacy and Freedom Protection in the Connected World: Proceedings of the 13th International Conference on Global Security, Safety and

Автор: Jahankhani Hamid, Jamal Arshad, Lawson Shaun
Название: Cybersecurity, Privacy and Freedom Protection in the Connected World: Proceedings of the 13th International Conference on Global Security, Safety and
ISBN: 3030685330 ISBN-13(EAN): 9783030685331
Издательство: Springer
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 1. Artificial Intelligence and the International Information and Psychological Security.- 2. Blockchain Medicine Administration Records (BMAR): Reflections and Modelling Blockchain with UML.- 3. An Investigation into an Approach to Updating the Governance of Satellite Communications to Enhance Cyber Security.- 4. Enhancing Smart Home Threat Detection with Artificial Intelligence.- 5. Cybercrime Predicting in the Light of Police Statistics.- 6. Prediction of Cyber Attacks During Coronavirus Pandemic by Classification Techniques and Open Source Intelligence.- 7. Missed Opportunities in Digital Investigation.- 8. Cyber-disability Hate Cases in the UK: The Documentation by the Police and Potential Barriers to Reporting.- 9. Smart Secure USB SSU-256.- 10. The Application of Technology in Combating Human Trafficking.- 11. Countering Adversarial Inference Evasion Attacks Towards ML-based Smart Lock in Cyber-physical System Context.- 12. Software License Audit and Security Implications.

Security and Privacy Preserving for Iot and 5g Networks: Techniques, Challenges, and New Directions

Автор: Abd El-Latif Ahmed A., Abd-El-Atty Bassem, Venegas-Andraca Salvador E.
Название: Security and Privacy Preserving for Iot and 5g Networks: Techniques, Challenges, and New Directions
ISBN: 3030854272 ISBN-13(EAN): 9783030854270
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

The Responsibility to Protect and a Cosmopolitan Approach to Human Protection

Автор: Samuel James Wyatt
Название: The Responsibility to Protect and a Cosmopolitan Approach to Human Protection
ISBN: 3030007006 ISBN-13(EAN): 9783030007003
Издательство: Springer
Рейтинг:
Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book conceptualizes Responsibility to Protect doctrine (R2P) as part of a global cosmopolitan agenda, drawing on the work of J?rgen Habermas, and argues that R2P is reflective of a shift towards a more cosmopolitan approach to human protection. The author also proposes a framework of analysis that includes a strong legal dimension in order to advance reforms to the international legal, political and military structures in order to better prevent humanitarian crises and protect civilians in times of conflict. The volume explores the cosmopolitan, moral and legal progress that has occurred—and could yet occur—under R2P as the approach to human protection transitions in the Post-Cold War era.


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