Toward resilient stream processing on clouds using moving target defense

Chaturvedi, S and Simmhan, Y (2019) Toward resilient stream processing on clouds using moving target defense. In: 22nd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2019, 7 May 2019-9 May 2019, Valencia, pp. 134-142.

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Abstract

Big data platforms have grown popular for real-time stream processing on distributed clusters and clouds. However, execution of sensitive streaming applications on shared computing resources increases their vulnerabilities, and may lead to data leaks and injection of spurious logic that can compromise these applications. Here, we adopt Moving Target Defense (MTD) techniques into Fast Data platforms, and propose MTD strategies by which we can mitigate these attacks. Our strategies target the platform, application and data layers, which make these reusable, rather than the OS, virtual machine, or hardware layers, which are environment specific. We use Apache Storm as the canonical distributed stream processing platform for designing our MTD strategies, and offer a preliminary evaluation that indicates the feasibility and evaluates the performance overheads. © 2019 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings - 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Computation theory; Computer software reusability; Distributed computer systems; Distributed parameter control systems, Computing resource; Data platform; Distributed clusters; Distributed stream processing; Moving target defense; Real-time streams; Stream processing; Streaming applications, Network security
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	28 Dec 2022 04:58
Last Modified:	28 Dec 2022 04:58
URI:	https://eprints.iisc.ac.in/id/eprint/78593

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