Scholarlink

<p>Internet of Things (IoT) weaves together numerous material objects, reshaping industries such as healthcare, farming, and manufacturing. But there are some problems, such as their rates increasing with the growth of the network connected with the navigation of the data. Most traditional optimization approaches fail to efficiently strike the right chord between performance and security in IoT architectures, particularly when the network is low and computationally constrained. This paper presents GWWAES as a new hybrid optimization approach based on grey wolf optimization (GWO) and the whale optimization algorithm (WOA) for routing and task scheduling in conjunction with the advanced encryption standard (AES). This method tackles two problems related to the IoT wrapper, namely efficient communication within the network and data protection. MATLAB simulation proves that the proposed GWWAES method provides better results than existing methods and successfully minimizes the message delay, increases the throughput, and decreases the overhead in terms of key size and various traffic conditions. In addition to this, the proposed method attains the highest network efficiency (96.68%) by securing data transmission in IoT networks.</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

GWWAES: a hybrid optimization method to secure IoT networks

  • 期刊论文

  • 发表日期：

    2025年4月10日

查看全文
  • Sanjeev Kumar,
  • Sukhvinder Singh Deora

摘要

Internet of Things (IoT) weaves together numerous material objects, reshaping industries such as healthcare, farming, and manufacturing. But there are some problems, such as their rates increasing with the growth of the network connected with the navigation of the data. Most traditional optimization approaches fail to efficiently strike the right chord between performance and security in IoT architectures, particularly when the network is low and computationally constrained. This paper presents GWWAES as a new hybrid optimization approach based on grey wolf optimization (GWO) and the whale optimization algorithm (WOA) for routing and task scheduling in conjunction with the advanced encryption standard (AES). This method tackles two problems related to the IoT wrapper, namely efficient communication within the network and data protection. MATLAB simulation proves that the proposed GWWAES method provides better results than existing methods and successfully minimizes the message delay, increases the throughput, and decreases the overhead in terms of key size and various traffic conditions. In addition to this, the proposed method attains the highest network efficiency (96.68%) by securing data transmission in IoT networks.