Big Data Processing: Security and Scalability Challenges (Invited Talk)

Felber, Pascal

doi:10.4230/LIPIcs.OPODIS.2020.1

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Big Data Processing: Security and Scalability Challenges (Invited Talk)

Author Pascal Felber

Part of: Volume: 24th International Conference on Principles of Distributed Systems (OPODIS 2020)
Part of: Series: Leibniz International Proceedings in Informatics (LIPIcs)
Part of: 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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LIPIcs.OPODIS.2020.1.pdf

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Document Identifiers

DOI: 10.4230/LIPIcs.OPODIS.2020.1
URN: urn:nbn:de:0030-drops-134863

Subject Classification

ACM Subject Classification

Computer systems organization → Cloud computing
Security and privacy → Privacy-preserving protocols

Keywords

Big Data

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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.

Cite As Get BibTex

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

Author Details

Pascal Felber

University of Neuchâtel, Switzerland

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