Privacy and Data Protection in Software Services, Zhang, Bo Shu, Xujian
Автор: Senigaglia Roberto, Irti Claudia, Bernes Alessandro Название: Privacy and Data Protection in Software Services ISBN: 9811630488 ISBN-13(EAN): 9789811630484 Издательство: Springer Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ahmed Elngar, Ambika Pawar, Prathamesh Churi Название: Data Protection and Privacy in Healthcare ISBN: 0367501082 ISBN-13(EAN): 9780367501082 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare data plays an important role in healthcare management, but the privacy of patient`s records must be of equal concern. This book covers the privacy issues and data protection laws in healthcare industries.
Описание: The projects tackled by the software development industry have grown in scale and complexity. Costs are increasing along with the number of developers. Power bills for distributed projects have reached the point where optimisations pay literal dividends. Over the last 10 years, a software development movement has gained traction, a movement founded in games development. The limited resources and complexity of the software and hardware needed to ship modern game titles demanded a different approach.Data-oriented design is inspired by high-performance computing techniques, database design, and functional programming values. It provides a practical methodology that reduces complexity while improving performance of both your development team and your product. Understand the goal, understand the data, understand the hardware, develop the solution.This book presents foundations and principles helping to build a deeper understanding of data-oriented design. It provides instruction on the thought processes involved when considering data as the primary detail of any project.
Автор: Qu Youyang, Nosouhi Mohammad Reza, Cui Lei Название: Personalized Privacy Protection in Big Data ISBN: 9811637490 ISBN-13(EAN): 9789811637490 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
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: 17074.00 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.
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.
Автор: Qu Название: Personalized Privacy Protection in Big Data ISBN: 9811637520 ISBN-13(EAN): 9789811637520 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Описание: This book constitutes the refereed proceedings of the 12th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2017, held in Zadar, Croatia, in May 2017. The 35 revised full papers presented together with 4 keynote lectures were carefully reviewed and selected from 46 submissions.
Описание: This book constitutes the refereed proceedings of the 34th IFIP TC 11 International Conference on Information Security and Privacy Protection, SEC 2019, held in Lisbon, Portugal, in June 2019. The 26 revised full papers presented were carefully reviewed and selected from 76 submissions.
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.
Описание: This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.
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