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Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing

Vikas K Soman1, V Natarajan2

  • 1Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chromepet, Chennai 44, India. vikassoman@gmail.com.

Scientific Reports
|January 18, 2025
PubMed
Summary
This summary is machine-generated.

A new method, Crayfish Optimization based Pixel Selection using Block Scrambling Based Encryption Approach (CFOPS-BSBEA), enhances cloud computing security for digital images. This technique integrates steganography and encryption for robust data protection against cyberattacks.

Keywords:
Cloud ComputingCrayfish optimizationImage encryptionPixel selectionSalp swarm algorithmSteganography

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Information Technology

Background:

  • Cloud Computing (CC) offers on-demand network resources but faces significant security challenges.
  • Traditional encryption methods are insufficient for protecting sensitive digital images in CC environments.
  • The increasing use of cloud for image storage and transmission necessitates advanced security measures.

Purpose of the Study:

  • To introduce a novel technique, Crayfish Optimization based Pixel Selection using Block Scrambling Based Encryption Approach (CFOPS-BSBEA), for enhanced cloud security.
  • To improve the protection of digital images against unauthorized access and cyber threats in cloud environments.
  • To leverage steganography and encryption for a robust and secure image protection solution.

Main Methods:

  • A three-stage process involving optimal pixel selection for steganography using Crayfish Optimization algorithm.
  • Encoding secret images via Block Scrambling Based Encryption.
  • Embedding the encrypted secret images into cover images to minimize detection.

Main Results:

  • The CFOPS-BSBEA technique demonstrates superior security performance compared to existing models.
  • Experimental results validate the effectiveness of integrating steganography and encryption for digital image protection.
  • The method ensures minimal detection of embedded secret images through optimized pixel selection.

Conclusions:

  • The CFOPS-BSBEA technique offers a secure and effective solution for digital image protection in cloud environments.
  • The approach has significant implications for secure cloud storage and transmission of sensitive image data.
  • This novel method has the potential to drive further research in robust cloud computing security measures.