@inproceedings{5b3a625e93b54ae9976c8cdb3e9e3399,
title = "Use of Blockchain for Ensuring Data Integrity in Cloud Databases.",
abstract = "This paper proposes a novel method for using a PoW-based Blockchain to ensure data integrity in cloud database management systems. The use of cloud platforms for storing data or even hosting databases is incredibly huge, and in many cases, there is no convenient way for a client to check the integrity of the data stored in the cloud database. To solve this, we propose a technique based on an interaction between the cloud platform and a PoW-based Blockchain. This interaction exploits a Distributed Hash Table and lightweight software agents, which are monitoring changes done to cloud database storage nodes. Data update operations are published by the agents as Blockchain log/audit transactions that propagate deep into the Blockchain network until they become immutably and cryptographically protected by it. The proposed method enables the Cloud Provider to manage metadata so that it will be able to easily detect deliberate or accidental corruptions of transactions and to recover the transactions in case such a data corruption incident occurs.",
keywords = "PoW-based Blockchain, Data integrity, Cloud database",
author = "Yakov Vainshtein and Ehud Gudes",
note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021 ; Conference date: 08-07-2021 Through 09-07-2021",
year = "2021",
month = jul,
day = "1",
doi = "10.1007/978-3-030-78086-9_25",
language = "English",
isbn = "978-3-030-78085-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Cham : Springer International Publishing : Imprint: Springer",
pages = "325--335",
editor = "{Dolev }, { S} and {Margalit }, O and {Pinkas }, B and A Schwarzmann",
booktitle = "Cyber Security Cryptography and Machine Learning. CSCML 2021.",
}