Pp-ddp: a privacy-preserving outsourcing framework for solving the double digest problem

HIGHLIGHTS

• who: Jingwen Suo from the State Key Laboratory University of Posts China have published the research: PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem, in the Journal: (JOURNAL)
• what: The experiments show that PP-DDP can find optional solutions with high success rate towards typical test DDP instances and random DDP instances and PP-DDP takes less running time than DDmap SK05 and GM12 while keeping the of the original DDP data. Work, a nonlinear order-preserving index scheme was proposed and security has been improved. The authors propose a . . .
  

   

  

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