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Related Experiment Videos

An Adaptive Multilevel Security Framework for the Data Stored in Cloud Environment.

Sudha Devi Dorairaj1, Thilagavathy Kaliannan1

  • 1Coimbatore Institute of Technology, Coimbatore 641014, India.

Thescientificworldjournal
|August 11, 2015
PubMed
Summary

Organizations are moving data to cloud for benefits, but security is a challenge. This paper proposes an adaptive multilevel security framework using cryptography to protect classified cloud data effectively.

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Area of Science:

  • Computer Science
  • Information Security

Background:

  • Cloud computing offers on-demand services, resource pooling, and elasticity, driving organizational adoption for massive data and computations.
  • Data security in cloud environments is a significant challenge due to data residing on third-party infrastructure.
  • Uniform security methods are inadequate, either compromising sensitive data or incurring excessive costs, and common methods are vulnerable to pattern-based attacks.

Purpose of the Study:

  • To propose an adaptive multilevel security framework for classified data stored in cloud environments.
  • To address the limitations of uniform and common security approaches in cloud data protection.
  • To provide a customizable and reliable security solution tailored to varying data sensitivity and business needs.

Main Methods:

  • Development of an adaptive multilevel security framework.
  • Integration of cryptography techniques for data protection.
  • Designing a system adaptable to cloud environments and evolving business requirements.

Main Results:

  • The proposed framework offers adequate security for classified data in the cloud.
  • The system is adaptable to the dynamic nature of cloud environments.
  • The security levels are customizable to meet diverse data sensitivity and changing business conditions.

Conclusions:

  • The adaptive multilevel security framework effectively enhances cloud data security.
  • The framework provides a flexible and reliable solution for protecting sensitive information.
  • This approach mitigates risks associated with uniform or common security strategies in cloud computing.