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Cloud Computing Threats and Provider Security Assessment

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Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9532))

Abstract

Cloud computing is an emerging technological paradigm that offers on-demand, scalable, resources and IT-based solutions without the need to invest in new infrastructure or train new personnel. Cloud computing has faced scrutiny regarding security risks involved with allowing sensitive data to be controlled and handled by third-party, off-site vendors. Many businesses with interest in using cloud services do not have a process to assess cloud providers security. In this paper we categorize cloud computing threats into external threats, guest-to-guest threats and cloud-to-guest threats; discuss the new version of the Consensus Assessments Initiative Questionnaire that was developed by the Cloud Security Alliance; propose a Fuzzy Likert Provider Security Measurement prototype that uses fuzzy logic, Likert scales and decision making technologies to assess the cloud service providers’ security.

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Acknowledgments

This work was partially supported by National Science Foundation under the award numbers CNS-0909980 and DUE-1129136.

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Authors and Affiliations

  1. Department of Computer Science, North Carolina A&T State University, Greensboro, USA

    Huiming Yu, Ken Williams & Xiaohong Yuan

Authors
  1. Huiming Yu
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  2. Ken Williams
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  3. Xiaohong Yuan
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Corresponding author

Correspondence to Huiming Yu .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojin Wang

  2. Sch of Information Technologies, Sydney University, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Department of Information and Commu, University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Changsha, China

    Kenli Li

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© 2015 Springer International Publishing Switzerland

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Yu, H., Williams, K., Yuan, X. (2015). Cloud Computing Threats and Provider Security Assessment. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9532. Springer, Cham. https://doi.org/10.1007/978-3-319-27161-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-27161-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27160-6

  • Online ISBN: 978-3-319-27161-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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