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<p>This paper proposes a cutting-edge approach to data security and compression for secure data transmission in sensor networks. Combining advanced algorithms with encryption, it optimizes data flow and security. Real-time processing with cameras, sensors, and Microcontroller Units (MCUs) enables reliable handling, supporting low-latency applications like environmental monitoring, smart cities, and industrial automation. The method uses scrambled Burrows-Wheeler Transform (BWT) compression followed by Huffman coding. It also applies reduced array encryption through a sequential process. Compression ratios range from 90% to 95%, significantly reducing overall size. The implementation undergoes thorough security analysis, yielding high Unicity Distance metrics and superior Data Integrity. It protects against possible vulnerabilities. The method balances efficiency with improved security measures, ensuring seamless execution and reliable performance under fluctuating conditions. It provides optimum connectivity for large-scale operations.</p>

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Real-time Security in Sensor Networks in Sequential Approach with BWT Compression, Huffman Coding and Reduced Array Encryption

  • 期刊论文

  • 发表日期：

    2025年5月12日

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  • M. Baritha Begum

摘要

This paper proposes a cutting-edge approach to data security and compression for secure data transmission in sensor networks. Combining advanced algorithms with encryption, it optimizes data flow and security. Real-time processing with cameras, sensors, and Microcontroller Units (MCUs) enables reliable handling, supporting low-latency applications like environmental monitoring, smart cities, and industrial automation. The method uses scrambled Burrows-Wheeler Transform (BWT) compression followed by Huffman coding. It also applies reduced array encryption through a sequential process. Compression ratios range from 90% to 95%, significantly reducing overall size. The implementation undergoes thorough security analysis, yielding high Unicity Distance metrics and superior Data Integrity. It protects against possible vulnerabilities. The method balances efficiency with improved security measures, ensuring seamless execution and reliable performance under fluctuating conditions. It provides optimum connectivity for large-scale operations.