Publication:
Information Flow Control for Secure Cloud Computing

Thumbnail Image

Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE)
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Bacon, Jean, David Eyers, Thomas F. J.-M. Pasquier, Jatinder Singh, Ioannis Papagiannis, and Peter Pietzuch. 2014. “Information Flow Control for Secure Cloud Computing.” IEEE Transactions on Network and Service Management 11 (1) (March): 76–89. doi:10.1109/tnsm.2013.122313.130423.

Research Data

Abstract

Security concerns are widely seen as an obstacle to the adoption of cloud computing solutions. Information Flow Control (IFC) is a well understood Mandatory Access Control methodology. The earliest IFC models targeted security in a centralised environment, but decentralised forms of IFC have been designed and implemented, often within academic research projects. As a result, there is potential for decentralised IFC to achieve better cloud security than is available today. In this paper we describe the properties of cloud computing— Platform-as-a-Service clouds in particular—and review a range of IFC models and implementations to identify opportunities for using IFC within a cloud computing context. Since IFC security is linked to the data that it protects, both tenants and providers of cloud services can agree on security policy, in a manner that does not require them to understand and rely on the particulars of the cloud software stack in order to effect enforcement. Index Terms—Cloud, data security, information flow, informa- tion flow control (IFC).

Description

Other Available Sources

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Referenced By

Related Stories