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Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2019 Interna Cristina Pérez-Solà,Guillermo Navarro-Arribas,Joa

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發(fā)表于 2025-3-21 19:21:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Privacy Management, Cryptocurrencies and Blockchain Technology
副標(biāo)題ESORICS 2019 Interna
編輯Cristina Pérez-Solà,Guillermo Navarro-Arribas,Joaq
視頻videohttp://file.papertrans.cn/263/262999/262999.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2019 Interna Cristina Pérez-Solà,Guillermo Navarro-Arribas,Joa
描述.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..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; authentication; blockchain; cryptocurrency systems; cryptography; data mining; da
版次1
doihttps://doi.org/10.1007/978-3-030-31500-9
isbn_softcover978-3-030-31499-6
isbn_ebook978-3-030-31500-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Integral Privacy Compliant Statistics Computationanges in the input dataset. Here, stability is explained by the relative frequency of different generators (re-samples of data) that lead to the same data analysis results. In this work, we compare the results of integrally private statistics with respect to different theoretical data distributions
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Card-Based Cryptographic Protocols with the Minimum Number of Rounds Using Private Operations committed-input, committed-output logical XOR protocol using four cards. Then we show new two-round committed-input, committed-output logical AND and copy protocols using six cards. This paper then shows the relationship between the number of rounds and available private operations. Even if private
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Payment Networks as Creation Games graph and clique) and determine for each one of them the constraints (fee value) under which they constitute a Nash equilibrium, given a fixed fee policy. Last, we show that the star is a Nash equilibrium when each channel party can freely decide the channel fee. On the other hand, we prove the com
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An Efficient Micropayment Channel on Ethereumcity of 1000 micropayments. In this paper, we improve even more and propose a protocol that scales logarithmically with the channel capacity. Furthermore, by utilizing a variant of Merkle tree, our protocol does not require the payer to lock the entire balance at the channel creation which is an int
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