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PART V Cloud Computing and Data Security to securing cloud computing systems e.g., privacy-preserving data mining [3] and privacy- preserving data publishing [4] for traditional relational data are important when the objective of outsourcing/publishing to the cloud comput- ing infrastructure is to provide high-level aggre- gate information (e.g., support for data mining) while suppressing access to individual tuple infor- mation that is sensitive. 359 REFERENCES [1] K. Kant, Data center evolution: a tutorial on state of the art, issues, and challenges. Computer Networks 53(17) (2009) 29392965. [2] L.M. Kaufman, Data security in the world of cloud computing, IEEE Security & Privacy 7(4) (2009) 6164. [3] N. Zhang, W. Zhao, Privacy-preserving data-mining systems, IEEE Computer 40(4) (2007) 5258. [4] B.C.M. Fung, K. Wang, R. Chen, P.S. Yu, Privacy-preserving data publishing: a survey of recent developments, ACM Computing Survey 42(4) (2010) 14:114:53.