Data Privacy Management, Cryptocurrencies and Blockchain Technology ESORICS 2019 International Workshops, DPM 2019 and CBT 2019, Luxembourg, September 26-27, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Pérez-Solà, Cristina (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Navarro-Arribas, Guillermo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Biryukov, Alex (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Garcia-Alfaro, Joaquin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Security and Cryptology ; 11737
• Θέματα: Computer security.; Data mining.; Computers and civilization.; Systems and Data Security.; Security Services.; Data Mining and Knowledge Discovery.; Computers and Society.
• Φυσική περιγραφή: XV, 400 p. 636 illus., 62 illus. in color. online resource.
• ISBN: 9783030315009
• DOI: 10.1007/978-3-030-31500-9

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.