D-Mash: A framework for privacy-preserving data-as-a-service mashups

IEEE International Conference on Cloud Computing, CLOUD

Volumn , Issue , 2014, Pages 498-505

  Arafati, Mahtab ^a   Dagher, Gaby G ^a   Fung, Benjamin C M ^b   Hung, Patrick C K ^c  

^a Concordia University ^*  (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

anonymization; data mashup; data mining; data privacy; web services

Indexed keywords

DATA INTEGRATION; DATA MINING; DATA PRIVACY; LARGE DATASET; WEB SERVICES;

ANONYMIZATION; CLOUD-BASED; DATA MASH-UP; MULTIPLE SOURCE; ON DEMANDS; PRIVACY PRESERVING; REAL LIFE DATA; SENSITIVE INFORMATIONS;

DATA AS A SERVICE (DAAS);

EID: 84919799137     PISSN: 21596182     EISSN: 21596190     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2014.73     Document Type: Conference Paper

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