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Biological membranes show uneven distribution of different types of lipids in the inner and outer layers, resulting in transverse asymmetric membranes. The treatment of the erythrocyte membrane with the enzyme phospholipase confirmed the asymmetric nature of the lipid bilayer. The enzyme hydrolyzes lipids into fatty acids and hydrophilic groups. The phospholipase acts only on the outer layer of the membrane, while the inner layer remains intact. The phospholipase treatment resulted in 80%...
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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Data Management And Data Science
  9. Query Processing And Optimisation
  11. Enhancing Cloud Security And Deduplication Efficiency With Saligp And Cryptographic Authentication.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Data Management And Data Science
  9. Query Processing And Optimisation
  11. Enhancing Cloud Security And Deduplication Efficiency With Saligp And Cryptographic Authentication.

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Enhancing cloud security and deduplication efficiency with SALIGP and cryptographic authentication.

J K Periasamy1, S Prabhakar2, A Vanathi3

  • 1Department of Computer Science and Engineering, Sri Sai Ram Engineering College, Chennai, India. jkperiasamy.cse@sairam.edu.in.

Scientific Reports
|August 17, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a post-quantum cloud security method that enhances data deduplication efficiency using Genetic Programming and blockchain. The SALIGP method with Cryptographic Deduplication Authentication Scheme (CDAS) improves cloud security and storage efficiency.

Keywords:
Bloom filterCloud computingCryptographic deduplication authentication schemeData deduplication

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Cloud computing offers scalability and resource pooling but faces challenges in data security, resource management, and data duplication.
  • Data duplication in the cloud leads to inefficient storage, increased costs, and potential privacy risks.
  • Existing cloud security measures struggle with decentralized oversight and dynamic environments.

Purpose of the Study:

  • To propose a post-quantum mechanism for enhancing cloud security and data deduplication efficiency.
  • To address the challenges of data duplication and security in distributed cloud environments.
  • To introduce a novel method for secure and efficient data management in cloud computing.

Main Methods:

  • The SALIGP method, leveraging Genetic Programming and a Geometric Approach with Bloom Filters for deduplication detection.
Improved genetic programming
Life Cycle Assessment
Secure active learning
Security
  • Integration of the Cryptographic Deduplication Authentication Scheme (CDAS) using blockchain for secure file storage and retrieval.
  • Pre-encryption of user data before outsourcing to enhance privacy during deduplication.

    • Main Results:

    • Significant reduction in computation and communication times across network nodes, especially in key generation and group operations.
    • Enhanced privacy protection through pre-encryption of user data before cloud outsourcing.
    • Demonstrated improvements in cloud data security, reliability, and storage efficiency.

    Conclusions:

    • The proposed SALIGP method with CDAS offers a scalable and secure framework for modern cloud computing.
    • The dual-layered approach effectively resolves redundant data issues in dynamic, distributed cloud environments.
    • The system provides substantial improvements in cloud data security, reliability, and storage efficiency.