CRMar 19, 2014

Chaos Based Mixed Keystream Generation for Voice Data Encryption

arXiv:1403.4782v138 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need to protect sensitive voice signals from unauthorized access in applications like military and VoIP, though it appears incremental as it builds on existing chaotic encryption methods.

The paper tackles securing voice data in communication by proposing a mixed keystream generator based on high-dimensional chaotic systems, achieving effectiveness in encryption as demonstrated through experimental analyses like auto-correlation and key sensitivity.

In this paper, a high dimensional chaotic systems based mixed keystream generator is proposed to secure the voice data. As the voice-based communication becomes extensively vital in the application areas of military, voice over IP, voice-conferencing, phone banking, news telecasting etc. It greatly demands to preserve sensitive voice signals from the unauthorized listening and illegal usage over shared/open networks. To address the need, the designed keystream generator employed to work as a symmetric encryption technique to protect voice bitstreams over insecure transmission channel. The generator utilizes the features of high dimensional chaos like Lorenz and Chen systems to generate highly unpredictable and random-like sequences. The encryption keystream is dynamically extracted from the pre-treated chaotic mixed sequences, which are then applied to mask the voice bitstream for integrity protection of voice data. The experimental analyses like auto-correlation, signal distribution, parameter residual deviation, key space and key-sensitivity demonstrate the effectiveness of the proposed technique for secure voice communication.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes