Personalized Privacy Protection in Big Data

Personalized Privacy Protection in Big Data

English | 2021 | ISBN: 9811637490 | 150 Pages | PDF EPUB | 16 MB

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.


[Fast Download] Personalized Privacy Protection in Big Data

Related eBooks:
Advances and Trends in Artificial Intelligence. From Theory to Practice
Let's Build Your Bug Out Bag
Survival Myths: The Top 12 Survival Myths That Will Get You Killed And How To Avoid Them
Prepping: Survival Shelter: How To Make a SHTF Shelter for Snow, Desert And Forest Conditions
Survival Guide: Electromagnetic Pulse: How To Survive An EMP Attack (Survivalist)
Energy-Efficient Modular Exponential Techniques for Public-Key Cryptography
Understanding Network Hacks: Attack and Defense with Python
Architecting User-Centric Privacy-as-a-Set-of-Services: Digital Identity-Related Privacy Framework
Ethical Hacking: Footprinting and Reconnaissance [Updated]
Information Security Practice and Experience
ICE Manual of Health and Safety in Construction
Outsourcing US Intelligence : Contractors and Government Accountability
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.