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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Personalized Privacy Protection in Big Data

Personalized Privacy Protection in Big Data

Qu, Youyang
Nosouhi, Mohammad Reza
Cui, Lei

Hardcover

Series: Data Analytics

DatabasesProbability & StatisticsComputer Security

ISBN10: 9811637490
ISBN13: 9789811637490
Publisher: Springer Nature
Published: Jul 25 2021
Pages: 139
Weight: 0.86
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
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.

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