Security and Privacy Preservation of Evidence in Cloud Accountability Audits

Conference paper

DOI: 10.1007/978-3-319-29582-4_6

Part of the Communications in Computer and Information Science book series (CCIS, volume 581)
Cite this paper as:
Rübsamen T., Pulls T., Reich C. (2016) Security and Privacy Preservation of Evidence in Cloud Accountability Audits. In: Helfert M., Méndez Muñoz V., Ferguson D. (eds) Cloud Computing and Services Science. CLOSER 2015. Communications in Computer and Information Science, vol 581. Springer, Cham


Cloud accountability audits are promising to strengthen trust in cloud computing by providing reassurance about the processing data in the cloud according to data handling and privacy policies. To effectively automate cloud accountability audits, various distributed evidence sources need to be considered during evaluation. The types of information range from authentication and data access logging to location information, information on security controls and incident detection. Securing that information quickly becomes a challenge in the system design, when the evidence that is needed for the audit is deemed sensitive or confidential information. This means that securing the evidence at-rest as well as in-transit is of utmost importance. In this paper, we present a system that is based on distributed software agents which enables secure evidence collection with the purpose of automated evaluation during cloud accountability audits. We thereby present the integration of Insynd as a suitable cryptographic mechanism for securing evidence. We present our reasoning for choosing Insynd by showing a comparison of Insynd properties with requirements imposed by accountability evidence collection as well as an analysis how security threats are being mitigated by Insynd. We put special emphasis on security and privacy protection in our system analysis.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thomas Rübsamen
    • 1
  • Tobias Pulls
    • 2
  • Christoph Reich
    • 1
  1. 1.Cloud Research LabFurtwangen UniversityFurtwangenGermany
  2. 2.Department of Mathematics and Computer ScienceKarlstad UniversityKarlstadSweden

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