EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain-Reference-Cited by-同舟云学术

EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Li Bo¹,He Qiang¹,Yuan Liang¹,Chen Feifei²,Lyu Lingjuan³,Yang Yun¹

Affiliation:

1. Swinburne University of Technology, Melbourne, VIC, Australia

2. Deakin University, Melbourne, VIC, Australia

3. Sony AI, Tokyo, Japan

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539104

Reference41 articles.

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2. Provable data possession at untrusted stores

3. Auto-Split: A General Framework of Collaborative Edge-Cloud AI

4. Efficient Algorithms for Pairing-Based Cryptosystems

5. Provable Multicopy Dynamic Data Possession in Cloud Computing Systems

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