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Data Privacy Management, Cryptocurrencies and Blockchain Technology : ESORICS 2021 International Workshops, DPM 2021 and CBT 2021, Darmstadt, Germany, October 8, 2021, Revised Selected Papers / edited by Joaquin Garcia-Alfaro, Jose Luis Muñoz-Tapia, Guillermo Navarro-Arribas, Miguel Soriano.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Security and cryptology ; SL 4, 13140
- Security and Cryptology ; 13140
- Language:
- English
- Subjects (All):
- Data protection.
- Cryptography.
- Data encryption (Computer science).
- Artificial intelligence.
- Operating systems (Computers).
- Computer engineering.
- Computer networks.
- Data and Information Security.
- Cryptology.
- Artificial Intelligence.
- Operating Systems.
- Computer Engineering and Networks.
- Local Subjects:
- Data and Information Security.
- Cryptology.
- Artificial Intelligence.
- Operating Systems.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XIII, 342 pages) : 70 illustrations, 50 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings and revised selected papers from the 16th International Workshop on Data Privacy Management, DPM 2021, and the 5th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2021, which were held online on October 8, 2021, in conjunction with ESORICS 2021. The workshops were initially planned to take place in Darmstadt, Germany, and changed to an online event due to the COVID-19 pandemic. The DPM 2021 workshop received 25 submissions and accepted 7 full and 3 short papers for publication. These papers were organized in topical sections as follows: Risks and privacy preservation; policies and regulation; privacy and learning. For CBT 2021 6 full papers and 6 short papers were accepted out of 31 submissions. They were organized in topical sections as follows: Mining, consensus and market manipulation; smart contracts and anonymity.
- Contents:
- Best Security Measures to Reduce Cyber-incident and Data Breach Risks
- Synthesizing Privacy-Preserving Location Traces Including Co-locations
- Quantitative Rubric for Privacy Policy Analysis
- Rethinking the Limits of Mobile Operating System Permissions
- Interdependent privacy issues are pervasive among third-party applications
- SPGC: An Integrated Framework of Secure Computation and Differential Privacy for Collaborative Learning
- A k-anonymised Federated Learning Framework with Decision Trees
- Anonymizing Machine Learning Models
- A New Privacy Enhancing Beacon Scheme in V2X Communication
- Next Generation Data Masking Engine
- Towards a Formal Approach for Data Minimization in Programs
- Virtual ASICs: Generalized Proof-of-Stake Mining in Cryptocurrencies
- Asymmetric Asynchronous Byzantine Consensus
- Using Degree Centrality to Identify Market Manipulation on Bitcoin
- Augmenting MetaMask to support TLS-endorsed Smart Contracts
- Smart Contracts for Incentivized Outsourcing of Computation
- Anonymous Sidechains
- Filling the Tax Gap via Programmable Money
- Impact of delay classes on the data structure in IOTA
- Secure Static Content Delivery for CDN using Blockchain Technology
- Lattice-Based Proof-of-Work for Post-Quantum Blockchains
- Blockchain-based Two-Factor Authentication for Credit Card Validation
- Homomorphic decryption in blockchains via compressed discrete-log lookup tables.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-93944-1
- 9783030939441
- Access Restriction:
- Restricted for use by site license.
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