loading page

A Transcendental Number based Random Insertion Method for Privacy Protection
  • +1
  • Ki-Bong Nam,
  • Suk-Geun Hwang,
  • Ki-Suk Lee,
  • Jiazhen Zhou
Ki-Bong Nam
University of Wisconsin-Whitewater
Author Profile
Suk-Geun Hwang
Kyungpook National University
Author Profile
Ki-Suk Lee
KNUE
Author Profile
Jiazhen Zhou
University of Wisconsin-Whitewater

Corresponding Author:[email protected]

Author Profile

Abstract

A transcendental number has the nice property of being random with its digit expansion, but its potential for cryptography and security protocol applications has not been fully explored to date. In this paper, we bring out a random insertion method using the transcendental numbers that can be applied toward new challenges in security and privacy fields like defending machine learning based privacy attacks. To make the random insertion method applicable toward continuous back-and-forth communications, we propose to explore the nice properties of a transcendental number generator that allows low cost for frequent key distributions. We further analyze the security of the encryption method, identify the limits, and bring out a security protocol to overcome the limits.