 Universal privacy‐preserving platform for SecaaS servicesTytus Kurek, Marcin Niemiec, Artur Lason and Andrzej R. Pach International Journal of Network Management, 2017, vol. 27, issue 5 Abstract: With the rapid growth of the Security‐as‐a‐Service market, concerns about privacy in exposing customer security policies to Cloud Service Providers have become critical. To resolve these issues, several solutions have been proposed over the past few years, each for a different kind of security service. However, as the number of security services outsourced into a cloud continues to grow, the need for a unified solution has become significant. This article introduces and presents a universal privacy‐preserving platform for SecaaS services that is based on a hybrid cloud architecture for maintaining the confidentiality of the customer's security policy. It is shown that this platform can be applied to all security services whose security policies can be represented in the form of a decision tree. This includes the vast majority of existing cloud‐based security services. With the small number of computationally‐expensive operations performed in a private cloud, the solution also does not require the implementation of a performant security engine on the customer's premises, allowing full advantage to be taken of private cloud offloading. It is also shown that the platform achieves better performance results than other existing solutions of this type. These findings were confirmed by experimental results. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:27:y:2017:i:5:n:e1994 Access Statistics for this article More articles in International Journal of Network Management from John Wiley & Sons |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.