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Könyv Personalized Privacy Protection in Big Data Mohammad Reza Nosouhi

Personalized Privacy Protection in Big Data

Szerző: Mohammad Reza Nosouhi, Lei Cui
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer Verlag, Singapore
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
25 625 Ft
This book presents the data privacy protection which has been extensively applied in our current era...

Információk a könyvről

Szerző
Mohammad Reza Nosouhi, Lei Cui
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2021
oldal
139
EAN
9789811637490
ISBN
9811637490
Enbook ID
36529442
Kiadó
Springer Verlag, Singapore
Súly
378
Méretek
243 x 159 x 15

Teljes leírás

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.

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