ISSN 2658-3593 (Print) · ISSN 2713-1564 (Online) · DOI 10.15688/NBIT.jvolsu

NBI Technologies Nano / Bio / Innovation Technologies

RESEARCH ON THE PRINCIPLES OF DIGITAL DATA SCRAMBLING

 

Nadezhda N. Ermakova

Senior Lecturer, Department of Telecommunications Systems,

Volgograd State University
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Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation

 

Abstract. Modern telecommunications are fundamental to society, transmitting vast amounts of data daily. Information reliability and security are crucial for all users. Digital transmission faces challenges: signal distortion, synchronization loss, and unauthorized access. Digital scrambling enhances transmission stability and correctness. A key trend is integrating scrambling with cryptographic mechanisms for layered defense. This research investigates digital scrambling principles and their role in information security. Objectives include reviewing scrambling fundamentals and classifying algorithm types, analyzing modern integrated data protection approaches, and comparatively evaluating algorithm effectiveness, stability, and applicability. Theoretical analysis is supplemented by experimental studies comparing method performance effectiveness. Results are applicable in designing control and telemetry systems for industrial and distributed networks requiring high reliability, synchronization, and interference resistance. Implemented scrambler schemes provide a foundation for future research into optimizing coding algorithms and securing digital channels against evolving threats. The work bridges theoretical scrambling analysis with practical security implementation, addressing current needs for robust data integrity and confidentiality in critical infrastructure. Scrambling transforms data sequences to eliminate patterns, preventing synchronization failure and reducing error propagation. This property is essential for modern high-speed networks. The comparative evaluation focuses on parameters like autocorrelation, balance, and linear complexity. Experimental modeling assesses bit error rate performance under various channel conditions. The conclusion defines optimal scrambling applications within broader cryptographic system architectures.

 

Key words: digital scrambling, data protection, additive scramblers, block scramblers, efficiency, errors and resilience.

 

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