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An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm.

M Baritha Begum1, N Deepa2, Mueen Uddin3

  • 1Department of Electronics and Communication Engineering, Saranathan College of Engineering, Tiruchirapalli, 620012, Tamil Nadu, India.

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|July 17, 2023
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Summary
This summary is machine-generated.

This study introduces a novel method for simultaneous data compression and encryption using a secret key. The technique achieves a compression ratio near 90%, enhancing data security and efficiency.

Keywords:
Burrows-wheeler transformEncryptionKeyed scramblingMove-to-front transformRun-length encoding (RLE)

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Area of Science:

  • Computer Science
  • Information Security
  • Data Compression

Background:

  • Data redundancy necessitates compression for storage and transmission efficiency.
  • Encryption is crucial for data confidentiality and integrity, often requiring secret keys.
  • Simultaneously compressing and encrypting data presents a challenge in maintaining the efficacy of both processes.

Purpose of the Study:

  • To develop an efficient and secure method for compressing and encrypting data concurrently.
  • To integrate secret key control within the compression process without compromising security or compression effectiveness.

Main Methods:

  • Data is first scrambled using a generated secret key.
  • The scrambled data undergoes the Burrows-Wheeler Transform (BWT).
  • The BWT output is further compressed using Move-To-Front Transform and Run-Length Encoding.

Main Results:

  • The proposed technique achieves a compression ratio close to 90%.
  • Experimental results indicate superior performance compared to other compression techniques.
  • Security analysis confirms susceptibility to secret key and plaintext, measured by unicity distance.

Conclusions:

  • The method effectively combines compression and encryption, enhancing data security and efficiency.
  • The technique offers robust encryption and significant data compression.
  • The approach demonstrates a practical solution for secure data handling.