A Novel Framework for Preventing Inference Attacks in Collaborative Data Publishing

Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Data Management
Format: PDF
Disclosure of sensitive data is the problem in collaborative data publishing. Collaborative data publishing involves multiple parties where data privacy is very important. There are number of threats to the privacy of data. For instance, there is possibility for insider attacks to obtain identity of real world objects. The data sources provided by multiple parties for collaborative publishing are to be protected from disclosure attacks. Moreover, the sensitive details are to be protected from being disclosed. To overcome this problem, many anonymization techniques came into existence.

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