The Automated Cryptanalysis of DFT-Based Speech Scramblers

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概要

• 論文の詳細を見る

• An automated method for cryptanalysis of DFT-based analog speech scramblers is presented through statistical estimation treatments. In the proposed system, the ciphertext only attack is formulated as a combinatorial optimization problem leading to a search for the most likely key estimate. For greater efficiency, we also explore the benefits of genetic algorithm to develop an estimation method which takes into account the doubly stochastic characteristics of the underlying keyspace. Simulation results indicate that the global explorative properties of genetic algorithms make them very effective at estimating the most likely permutation and by using this estimate significant amount of the intelligibility can be recovered from the ciphertext following the attack on DFT-based speech scramblers.

• 社団法人電子情報通信学会の論文
• 2000-12-25

著者

• Hsu Heng-iang

  The Department Of Communication Engineering National Chiao-tung University

• Chang W‐w

  The Department Of Communication Engineering National Chiao-tung University

• Chang Wen-whei

  The Department Of Communication Engineering National Chiao-tung University

関連論文

• Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model
• The Automated Cryptanalysis of DFT-Based Speech Scramblers

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