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Data Privacy Management Cryptocurrencies And Blockchain Technology Esorics 2019 International Workshops Dpm 2019 And Cbt 2019 Luxembourg September 2627 2019 Proceedings 1st Ed 2019 Cristina Prezsol

  • SKU: BELL-10800636
Data Privacy Management Cryptocurrencies And Blockchain Technology Esorics 2019 International Workshops Dpm 2019 And Cbt 2019 Luxembourg September 2627 2019 Proceedings 1st Ed 2019 Cristina Prezsol
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Data Privacy Management Cryptocurrencies And Blockchain Technology Esorics 2019 International Workshops Dpm 2019 And Cbt 2019 Luxembourg September 2627 2019 Proceedings 1st Ed 2019 Cristina Prezsol instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 22.75 MB
Author: Cristina Pérez-Solà, Guillermo Navarro-Arribas, Alex Biryukov, Joaquin Garcia-Alfaro
ISBN: 9783030314996, 9783030315009, 3030314995, 3030315002
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Data Privacy Management Cryptocurrencies And Blockchain Technology Esorics 2019 International Workshops Dpm 2019 And Cbt 2019 Luxembourg September 2627 2019 Proceedings 1st Ed 2019 Cristina Prezsol by Cristina Pérez-solà, Guillermo Navarro-arribas, Alex Biryukov, Joaquin Garcia-alfaro 9783030314996, 9783030315009, 3030314995, 3030315002 instant download after payment.

This book constitutes the refereed conference proceedings of the 14th International Workshop on Data Privacy Management, DPM 2019, and the Third International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2019, held in conjunction with the 24th European Symposium on Research in Computer Security, ESORICS 2019, held in Luxembourg in September 2019.

For the CBT Workshop 10 full and 8 short papers were accepted out of 39 submissions. The selected papers are organized in the following topical headings: lightning networks and level 2; smart contracts and applications; and payment systems, privacy and mining. The DPM Workshop received 26 submissions from which 8 full and 2 short papers were selected for presentation. The papers focus on privacy preserving data analysis; field/lab studies; and privacy by design and data anonymization.

Chapter 2, “Integral Privacy Compliant Statistics Computation,” and Chapter 8, “Graph Perturbation as Noise Graph Addition: a New Perspective for Graph Anonymization,” of this book are available open access under a CC BY 4.0 license at link.springer.com.


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