An Algorithm for Forming an Adaptive Speech-Like Interference to Protect Confidential Speech Information in Office Spaces

Relevant. Current trends in information security research are driven by the growing number of threats associated with the leakage of speech information from premises via acoustic and vibroacoustic channels. Current methods of passive and active protection of premises, based on noise generation and the use of libraries of pre-recorded audio signals, do not always achieve the required level of protection due to a lack of adaptation to the parameters of real speech and the acoustic environment in the premises, as well as due to disregard for regulatory requirements regarding indoor noise levels. All this has necessitated the development of new algorithms for the active protection of office premises from leakage, particularly via acoustic-vibrational channels, based on the use of speech signals from participants in negotiations.

The aim of the study is to ensure the required verbal intelligibility coefficient at the boundary of a controlled office area by improving active information protection systems through the development and application of an algorithm for generating speech-like interference that is adaptive to changes in the speech parameters of negotiators, the office environment, and noise level regulations. Information theory and digital signal processing methods were used to solve these problems.

In result an algorithm for generating adaptive speech-like interference for use in active information protection systems in offices has been developed. The proposed algorithm for generating adaptive speech-like interference allows it to be generated from the speech signals of negotiators only when they are present, thereby enhancing the interference's masking properties.

The novelty of the study lies in the introduction of multichannel procedures for generating adaptive speech-like interference.

The theoretical significance of this research lies in expanding our understanding of methods, models, and techniques for adaptive acoustic masking of speech information and developing an algorithm for generating speech-like interference based on speech parameter analysis.

Practical significance. The developed algorithm can be implemented using standard computing devices and acoustic systems. This makes it applicable to both current and future active speech protection systems.

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