2021
DOI: 10.1007/s11277-021-08299-1
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Effective Model for Real Time End to End Secure Communication Over GSM Voice Channel

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Cited by 5 publications
(3 citation statements)
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“…However, most of its current modulation technologies are based on the realization of limited ideal environments. If multiple vocoder conversions, actual channel errors, packet loss and other uncertain factors are considered, there is no mature technology to choose from [11,12].…”
Section: Methodsmentioning
confidence: 99%
“…However, most of its current modulation technologies are based on the realization of limited ideal environments. If multiple vocoder conversions, actual channel errors, packet loss and other uncertain factors are considered, there is no mature technology to choose from [11,12].…”
Section: Methodsmentioning
confidence: 99%
“…Deep learning algorithm can be utilized for extracting the important features from audio signal and for authentication [31]. Machine learning algorithm can be developed to predict the channel condition to select the suitable method for a specific channel [14].…”
Section: B Research Opportunitiesmentioning
confidence: 99%
“…Wideband audio provides relaxed bandwidth limitations and transmits within the audio frequency range of 50 Hz to 7 kHz [13]. A GSM channel is an example of a voice communication network that uses Automatic Repeat Request (ARQ) for error detection and correction within the limited bandwidth of 300 to 3400 Hz [14]. GSM voice channels, featuring audio codec compression, Discontinuous Transmission (DTX), and Voice Activity Detection (VAD), selectively transmit signals with speech characteristics.…”
Section: Introductionmentioning
confidence: 99%