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NeuronVisor: Defining a Fine-Grained Cloud Root-of-Trust

  • Anbang RuanEmail author
  • Andrew Martin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9473)

Abstract

Security issues have become a significant barrier to the adoption of cloud computing services. Most existing security enhancements lack a well defined Root-of-Trust (RoT). Models for Trusted Clouds have been proposed, which establish RoT inside the cloud and vouch for the trustworthiness of the cloud services. However, these are often impractical due to cloud’s dynamics and complexity. In this paper, we present the NeuronVisor, an abstract Cloud Root-of-Trust (cRoT) framework. NeuronVisor enforces decentralized attestations to capture trust dependency among interacting software components inside the cloud, and determines a single cRoT for each cloud application. This cRoT hides the cloud’s internal by presenting a uniform interface for attesting to the trustworthiness of the entire cloud application and all its dependent services inside the cloud (the Cloud TCB). Our simulations show that, for more than 98 % times, one interrogation to the dynamically formed cRoT is able to identify the properties of more than 90 % of the nodes hosting a cloud application and its cloud TCB. Meanwhile, NeuronVisor achieves higher fault detection rate than the prevalent centralized cloud attestation scheme (CEN). It still achieves the same fault detection rate with CEN even when 90 % of the NeuronVisors are constantly tampered with and maliciously collaborating with each other.

Keywords

Virtual Machine Cloud Service Connection Strength Trust Information Layer Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of OxfordOxfordUK

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