Privacy and Data Protection in Software Services, Zhang, Bo Shu, Xujian
Автор: Fabian Richard Название: Data-Oriented Design: Software Engineering for Limited Resources and Short Schedules ISBN: 1916478700 ISBN-13(EAN): 9781916478701 Издательство: Неизвестно Цена: 40220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Ninghui Li, Min Lyu, Dong Su, Weining Yang Название: Differential Privacy: From Theory to Practice ISBN: 1681732211 ISBN-13(EAN): 9781681732213 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks.This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice. We focus on empirical accuracy performances of algorithms rather than asymptotic accuracy guarantees. At the same time, we try to explain why these algorithms have those empirical accuracy performances. We also take a balanced approach regarding the semantic meanings of differential privacy, explaining both its strong guarantees and its limitations.We start by inspecting the definition and basic properties of DP, and the main primitives for achieving DP. Then, we give a detailed discussion on the the semantic privacy guarantee provided by DP and the caveats when applying DP. Next, we review the state of the art mechanisms for publishing histograms for low-dimensional datasets, mechanisms for conducting machine learning tasks such as classification, regression, and clustering, and mechanisms for publishing information to answer marginal queries for high-dimensional datasets. Finally, we explain the sparse vector technique, including the many errors that have been made in the literature using it.The planned Volume 2 will cover usage of DP in other settings, including high-dimensional datasets, graph datasets, local setting, location privacy, and so on. We will also discuss various relaxations of DP.
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: 60550.00 T 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: 130430.00 T 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.
Автор: Tzimas Название: Legal and Ethical Challenges of Artificial Intelligence from an International Law Perspective ISBN: 3030785874 ISBN-13(EAN): 9783030785871 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 60550.00 T 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.
Автор: Politou Название: Privacy and Data Protection Challenges in the Distributed Era ISBN: 3030854450 ISBN-13(EAN): 9783030854454 Издательство: Springer Рейтинг: Цена: 130430.00 T 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.
Автор: Ji?? H?eb??ek; Ralf Denzer; Gerald Schimak; Tom?? Название: Environmental Software Systems. Computer Science for Environmental Protection ISBN: 3030078973 ISBN-13(EAN): 9783030078973 Издательство: Springer Рейтинг: Цена: 109940.00 T Наличие на складе: Поставка под заказ. 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.
Автор: Gurpreet Dhillon; Fredrik Karlsson; Karin Hedstr?m Название: ICT Systems Security and Privacy Protection ISBN: 3030223116 ISBN-13(EAN): 9783030223113 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Поставка под заказ. 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. The papers present novel research on theoretical and practical aspects of security and privacy protection in ICT systems. They are organized in topical sections on intrusion detection, access control, organizational and behavioral, crypto and encryption, and integrity.
Автор: Lech Jan Janczewski; Miros?aw Kuty?owski Название: ICT Systems Security and Privacy Protection ISBN: 3030076369 ISBN-13(EAN): 9783030076368 Издательство: Springer Рейтинг: Цена: 97830.00 T Наличие на складе: Поставка под заказ. 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.
Автор: Dhillon Gurpreet, Karlsson Fredrik, Hedstrцm Karin Название: Ict Systems Security and Privacy Protection: 34th Ifip Tc 11 International Conference, SEC 2019, Lisbon, Portugal, June 25-27, 2019, Proceedings ISBN: 3030223140 ISBN-13(EAN): 9783030223144 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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: 46570.00 T 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.
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