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A Big Picture of Integrity Verification of Big Data in Cloud Computing

  • Chang LiuEmail author
  • Rajiv Ranjan
  • Xuyun Zhang
  • Chi Yang
  • Jinjun Chen
Chapter

Abstract

Big data is attracting more and more interests from numerous industries. Afewexamples are oil and gas mining, scientific research (biology, chemistry, physics), online social networks (Twitter, Facebook), multimedia data, and business transactions. With mountains of data collected from increasingly efficient data collecting devices as well as stored on fast-growing storage hardware, people are keen to find solutions to store and process the data more efficiently, and to discover more values from the mass at the same time. When referring to big data research problems, people often brings the 4 v’s—volume, velocity, variety, and value. These pose various brand-new challenges to computer scientists nowadays.

Keywords

Cloud Computing Signature Scheme Integrity Verification Public Verifiability Public Audit 
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 Science+Business Media New York 2015

Authors and Affiliations

  • Chang Liu
    • 1
    Email author
  • Rajiv Ranjan
    • 2
  • Xuyun Zhang
    • 1
  • Chi Yang
    • 1
  • Jinjun Chen
    • 1
  1. 1.Faculty of Engineering and ITUniversity of Technology SydneySydneyAustralia
  2. 2.Computational InformaticsCSIROMarsfieldAustralia

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