Statistical cryptanalysis of DFT-based speech scramblers

Wen-Whei Chang*, Jeng Yih Wang, Tan Hsu Tan

*Corresponding author for this work

Research output: Contribution to journalConference article

Abstract

This paper presents an automated attack for crypt-analysis of transform-based analog speech scramblers. In this system, the key estimate is recovered by imbedding the discrete key in a continuous set and maximizing the statistical likelihood function over the continuous keyspace. Furthermore, a novel likelihood maximization algorithm has been developed to account for the doubly stochastic constraint of the underlying keyspace. It is shown that the proposed statistical cryptanalysis appears useful in breaking the scrambled speech under a ciphertext only attack.

Original languageEnglish
Pages (from-to)1191-1195
Number of pages5
JournalNational Conference Publication - Institution of Engineers, Australia
Volume2
Issue number94 /9
StatePublished - 1 Dec 1994
EventProceedings of the International Symposium on Information Theory & Its Applications 1994. Part 1 (of 2) - Sydney, Aust
Duration: 20 Nov 199424 Nov 1994

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