CloudMonitor: Data flow filtering as a service

Fahad Alqahtani, Frederick Sheldon

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

3 Scopus citations

Abstract

The primary concern of cloud service consuming organizations is the kind of control that they may have over their data. Companies are legally required to monitor a subset of the data that is crucial both to their business and customers. Conversely, the cloud service providers are not showing commitment towards securely handling enterprise data, and this may put sensitive data at risk. Hence, consumers are expected to maintain control over their sensitive data both at their local infrastructure and in the cloud. To achieve this, companies are practicing methods that would typically block access to cloud service that stores sensitive data at the network level. However, such restrictions may limit employee performance, and at the same time may not combat the malicious activities of bad employees. In this paper, we propose a model that allows consumers and providers the ability to transparently track the data in the cloud environment. The model allows consumers to have control over their data and conduct an audit to the treatment of their data by third-party services, while employees are allowed to use the cloud service.

Original languageEnglish
Title of host publicationProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1454-1457
Number of pages4
ISBN (Electronic)9781728155845
DOIs
StatePublished - Dec 2019
Event6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019 - Las Vegas, United States
Duration: 5 Dec 20197 Dec 2019

Publication series

NameProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019

Conference

Conference6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019
Country/TerritoryUnited States
CityLas Vegas
Period5/12/197/12/19

Keywords

  • Cloud security
  • Data tracking
  • Information flow tracking
  • Privacy

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