Enhancing Workflow Security in Multi-cloud Environments Through Monitoring and Adaptation upon Cloud Service and Network Security Violations

Nafiseh Soveizi*, Dimka Karastoyanova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Cloud computing has emerged as a crucial solution for handling data- and compute-intensive workflows, offering scalability to address dynamic demands. However, ensuring the secure execution of workflows in the untrusted multi-cloud environment poses significant challenges, given the sensitive nature of the involved data and tasks. The lack of comprehensive approaches for detecting attacks during workflow execution, coupled with inadequate measures for reacting to security and privacy breaches has been identified in the literature. To close this gap, in this work, we propose an approach that focuses on monitoring cloud services and networks to detect security violations during workflow executions. Upon detection, our approach selects the optimal adaptation action to minimize the impact on the workflow. To mitigate the uncertain cost associated with such adaptations and their potential impact on other tasks in the workflow, we employ adaptive learning to determine the most suitable adaptation action. Our approach is evaluated based on the performance of the detection procedure and the impact of the selected adaptations on the workflows.

Original languageEnglish
Title of host publicationCooperative Information Systems - 29th International Conference, CoopIS 2023, Proceedings
EditorsMohamed Sellami, Walid Gaaloul, Maria-Esther Vidal, Boudewijn van Dongen, Hervé Panetto
PublisherSpringer Science and Business Media Deutschland GmbH
Pages157-175
Number of pages19
ISBN (Print)9783031468452
DOIs
Publication statusPublished - 25-Oct-2023
Event29th International Conference on Cooperative Information Systems, CoopIS 2023 - Groningen, Netherlands
Duration: 30-Oct-20233-Nov-2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Conference on Cooperative Information Systems, CoopIS 2023
Country/TerritoryNetherlands
CityGroningen
Period30/10/202303/11/2023

Keywords

  • Adaptation Recommendation
  • Cloud Service Monitoring
  • Cloud-based workflows
  • Security-aware workflows
  • Violation detection
  • Workflow Adaptation

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