Scholarlink

<p>By combining the Levy-Flight Whale Optimization Algorithm (Levy-WOA) with a time-oriented latency approximation-based data encryption scheme (TLADE), this study offers a novel method of improving cloud security. The main goal is to minimize the effects of delay while achieving safe data transmission in cloud environments. The suggested technique chooses the best encryption method for every data packet by dynamically estimating network transmission delays at predetermined timestamps. The system adjusts its encryption levels to balance security robustness and efficiency by evaluating real-time performance indicators including latency, throughput, and traffic. Levy-WOA uses Levy flying patterns in conjunction with a swarm intelligence mechanism inspired by whale foraging behavior to improve the global search capabilities and optimize the selection process. By effectively adjusting encryption parameters, our hybrid optimization ensures low latency without sacrificing security. Because the system is adaptive, it may react to shifting network conditions by choosing stronger encryption levels when security issues are identified and lighter encryption techniques during times of high traffic. In comparison to current methods, experimental evaluations show that the suggested TLADE method, led by Levy-WOA, dramatically lowers encryption and decryption latency while keeping a high security standard. With this hybrid approach, cloud systems’ overall Quality of Service is improved, guaranteeing safe, low-latency data transfer appropriate for real-time applications. The method provides a scalable, effective way to deal with the dual problems of low latency and data security in dynamic cloud environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimized Cloud Security Using Time-Oriented Latency Approximation-Based Data Encryption with Levy-Flight Whale Optimization

  • 期刊论文

  • 发表日期：

    2026年5月20日

查看全文
  • M. Balamurugan,
  • G. Gunasekaran,
  • T. Margaret Mary,
  • R. Kalaiarasi

摘要

By combining the Levy-Flight Whale Optimization Algorithm (Levy-WOA) with a time-oriented latency approximation-based data encryption scheme (TLADE), this study offers a novel method of improving cloud security. The main goal is to minimize the effects of delay while achieving safe data transmission in cloud environments. The suggested technique chooses the best encryption method for every data packet by dynamically estimating network transmission delays at predetermined timestamps. The system adjusts its encryption levels to balance security robustness and efficiency by evaluating real-time performance indicators including latency, throughput, and traffic. Levy-WOA uses Levy flying patterns in conjunction with a swarm intelligence mechanism inspired by whale foraging behavior to improve the global search capabilities and optimize the selection process. By effectively adjusting encryption parameters, our hybrid optimization ensures low latency without sacrificing security. Because the system is adaptive, it may react to shifting network conditions by choosing stronger encryption levels when security issues are identified and lighter encryption techniques during times of high traffic. In comparison to current methods, experimental evaluations show that the suggested TLADE method, led by Levy-WOA, dramatically lowers encryption and decryption latency while keeping a high security standard. With this hybrid approach, cloud systems’ overall Quality of Service is improved, guaranteeing safe, low-latency data transfer appropriate for real-time applications. The method provides a scalable, effective way to deal with the dual problems of low latency and data security in dynamic cloud environments.