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

Author Pascal Felber

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Document Identifiers

Author Details

Pascal Felber
  • University of Neuchâtel, Switzerland

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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)


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
  • Big Data


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