Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix

@inproceedings{Almutairi2018ThirdPD,
  title={Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix},
  author={Nawal Almutairi and Frans Coenen and Keith Dures},
  booktitle={DaWaK},
  year={2018}
}
The increasing demand for Data Mining as a Service, using cloud storage, has raised data security concerns. Standard data encryption schemes are unsuitable because they do not support the mathematical operations that data mining requires. Homomorphic and Order Preserving Encryption provide a potential solution. Existing work, directed at data clustering, has demonstrated that using such schemes provides for secure data mining. However, to date, all proposed approaches have entailed some degree… 
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