Semi-trusted collaborative framework for multi-party computation

Kok Seng Wong, Myung Ho Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Data sharing is an essential process for collaborative works particularly in the banking, finance and healthcare industries. These industries require many collaborative works with their internal and external parties such as branches, clients, and service providers. When data are shared among collaborators, security and privacy concerns becoming crucial issues and cannot be avoided. Privacy is an important issue that is frequently discussed during the development of collaborative systems. It is closely related with the security issues because each of them can affect the other. The tradeoff between privacy and security is an interesting topic that we are going to address in this paper. In view of the practical problems in the existing approaches, we propose a collaborative framework which can be used to facilitate concurrent operations, single point failure problem, and overcome constraints for two-party computation. Two secure computation protocols will be discussed to demonstrate our collaborative framework.

Original languageEnglish
Pages (from-to)411-427
Number of pages17
JournalKSII Transactions on Internet and Information Systems
Issue number3
Publication statusPublished - Jun 30 2010
Externally publishedYes


  • Collaborative computation
  • Data sharing
  • Privacy preserving
  • Secure computation protocol

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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