Notice of Violation of IEEE Publication Principles: Distributed changing neighbors k-secure sum protocol for secure multiparty computation

Notice of Violation of IEEE Publication Principles

"Distributed Changing Neighbors k-Secure Sum Protocol for Secure Multiparty Computation"
by A. Neha Pathak and B. Shweta Pandey
in the Proceedings of the 2013 Nirma University Conference on Engineering (NUiCONE)

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.

This paper contains significant portions of text from the paper cited below that were paraphrased without attribution.

"A Distributed k-Secure Sum Protocol for Secure Multi-Party Computations"
by R. Sheikh, B. Kumar, D.K. Mishra,
in the Journal of Computing, Vol 2 Issue 3 March 2010

"Changing Neighbors k-Secure Sum Protocol for Secure Multi-Party Computation"
by R. Sheikh, B. Kumar, and D.K. Mishra
in the International Journal of Computer Science and Information Security, Vol 7, No 1, 2010.


Privacy preservation is an important area of the data mining because it allows the sharing of data between multiple parties. Various techniques are available to give privacy between multiple parties. In recent years, privacy preserving data mining has become more important because of the increasing ability to store personal data on the internet. In this paper, we discuss a novel protocol to compute the sum of an individual's data given by parties with zero leakage probability. We break the data blocks into segments and redistribute the segments among all the parties. After redistribution neighbors also changed their place. This is a scenario where it is impossible to know the private data of some other party.