LIPIcs.OPODIS.2020.1.pdf
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Big Data Processing: Security and Scalability Challenges (Invited Talk)
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24th International Conference on Principles of Distributed Systems (OPODIS 2020)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Principles of Distributed Systems (OPODIS) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2021-01-25
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Pascal Felber. Big Data Processing: Security and Scalability Challenges (Invited Talk). In 24th International Conference on Principles of Distributed Systems (OPODIS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 184, p. 1:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.OPODIS.2020.1
Abstract
The processing of large amonts of data requires significant computing power and scalable architectures. This trend makes the use of Cloud computing and off-premises data centres particularly attractive, but exposes companies to the risk of data theft. This is a key challenge toward exploiting public Clouds, as data represents for many companies their most valuable asset. In this talk, we will discuss about mechanisms to ensure secure and privacy-preserving Big Data processing on computing architectures supporting horizontal and vertical scalability.
Subject Classification
ACM Subject Classification
- Computer systems organization → Cloud computing
- Security and privacy → Privacy-preserving protocols
Keywords
- Big Data
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