Clustering models in secure clustered multiparty computation

Sedigheh Abbasi, Stelvio Cimato, Ernesto Damiani

Research output: Contribution to journalArticlepeer-review


Secure Multiparty Computation (SMC) is well-known to have serious scalability issues. In fact, in spite of many significant achievements reported in SMC literature, SMC protocols are seldom efficiently scalable to real-world applications. In this paper we propose a new scheme, called Secure Clustered Multiparty Computation (SCMC) to improve the efficiency of SMC by reducing the number of participant through clustering. SCMC improves efficiency at the expense of privacy of participants with respect to other members of the same cluster. The paper analyzes different clustering models and presents some protocols suitable for SCMC schemes.

Original languageBritish English
Pages (from-to)63-76
Number of pages14
JournalJournal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
Issue number2
StatePublished - Jun 2013


  • Secure Clustered Multiparty Computation (SCMC)
  • Secure multiparty computation (SMC)
  • Trust-based intra-cluster computation


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