A puzzle-solver-based speech descrambling method

Yu Xiang Zhao, Mu Chun Su, Zhong Lie Chou, Jonathan Lee

Research output: Contribution to journalArticlepeer-review

Abstract

The security problem of speech communication has always been a demanding problem in military and business areas. A common approach to realizing end-to-end security is the use of a scrambler. Most of the scramblers are based on permutation of speech signals in the time domain and/or frequency domain. On the other hand, descramblers are used to eavesdrop information from scrambled speech signals. In this paper we propose a new approach to implement a descrambler. We treat the descrambling problem as a puzzle solving problem. In this considered puzzle problem, each piece is a rectangular-shaped gray scaled image puzzle. We propose two different methods to assemble puzzles. While the first method is based on human heuristics, the second method is based on the Ant Colony System (ACS) algorithm. Twenty images were used to test the proposed methods.

Original languageEnglish
Pages (from-to)725-732
Number of pages8
JournalWSEAS Transactions on Computers
Volume6
Issue number5
StatePublished - May 2007

Keywords

  • Ant colony system
  • Optimization algorithm
  • Puzzle
  • Speech scrambling
  • Swarm intelligence

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