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基于鱼优化的像素选择,使用基于区块混的加密来实现安全的云计算环境.

Vikas K Soman1, V Natarajan2

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

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此摘要是机器生成的。

一种新的方法,基于Crayfish优化的像素选择,使用基于区块编码的加密方法 (CFOPS-BSBEA),增强了数字图像的云计算安全性. 这种技术结合了隐形图和加密,以提供强大的数据保护,防止网络攻击.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 信息技术 信息技术 信息技术

背景情况:

  • 云计算 (CC) 提供按需的网络资源,但面临着重大安全挑战.
  • 传统的加密方法不足以保护CC环境中的敏感数字图像.
  • 越来越多地使用云来存储和传输图像,需要采取先进的安全措施.

研究的目的:

  • 为了引入一种新的技术,基于Crayfish优化的像素选择,使用基于区块编码的加密方法 (CFOPS-BSBEA),以提高云安全性.
  • 提高数字图像在云环境中免受未经授权的访问和网络威胁的保护.
  • 为了利用隐形图像和加密来提供强大而安全的图像保护解决方案.

主要方法:

  • 一个三阶段的过程,涉及使用鱼优化算法选择最佳的像素以进行石摄影.
  • 通过基于区块编码的加密编码秘密图像.
  • 将加密的秘密图像嵌入封面图像中,以尽量减少检测.

主要成果:

  • 与现有模型相比,CFOPS-BSBEA技术显示出更高的安全性能.
  • 实验结果验证了将隐形图像和加密集成为数字图像保护的有效性.
  • 该方法通过优化的像素选择确保了嵌入式秘密图像的最小检测.

结论:

  • CFOPS-BSBEA技术为云环境中的数字图像保护提供了安全有效的解决方案.
  • 这种方法对安全的云存储和传输敏感图像数据有重大影响.
  • 这种新的方法有可能推动对强大的云计算安全措施的进一步研究.