Universal privacy-preserving platform for SecaaS services
PBN-AR
Instytucja
Wydział Informatyki, Elektroniki i Telekomunikacji (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
International Journal of Network Management (15pkt w roku publikacji)
ISSN
1055-7148
EISSN
1099-1190
Wydawca
Chichester, Sussex : John Wiley \& Sons
DOI
Rok publikacji
2017
Numer zeszytu
5, art. no. 1994
Strony od-do
1--17
Numer tomu
27
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1.21
Autorzy
Słowa kluczowe
EN
decision tree
privacy
SecaaS
Streszczenia
Język
EN
Treść
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 secu- rity 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 cus- tomer'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.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:110126
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