Chaotic Whale Crow Optimization Algorithm for Secure Routing In Iot Environment

IF 4.1 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal on Semantic Web and Information Systems Pub Date : 2022-01-01 DOI:10.4018/ijswis.300824

Meghana G. Raj

{"title":"Chaotic Whale Crow Optimization Algorithm for Secure Routing In Iot Environment","authors":"Meghana G. Raj","doi":"10.4018/ijswis.300824","DOIUrl":null,"url":null,"abstract":"This paper solves the Internet of Things (IoT) security issues by introducing a Chaotic Whale Crow (CWC) optimization, which is the integration of Chaotic Whale Optimization Algorithm (CWOA) in Crow Search Algorithm (CSA). The framework operates on two crucial aspects: one is to select the secure nodes, and the other is to implement secure routing using the selected trusted nodes. First, the selection of trusted nodes is performed based on trust factors like direct, indirect, forwarding rate, integrity, and availability factors. Then, the selected trusted nodes are adapted for trust-based secure routing, which is optimally performed using the proposed CWC, based on the fitness parameters trust and energy. Finally, the proposed CWC is evaluated, which revealed high performance with a minimal delay of 191.46ms, which shows 14.87%, 7.35%, 6.82%, 4.19%, and 5.74% improved performance comapred to existing LaSeR, PM Ipv6, secTrust-RPL RISA, and LSDAR techniques. Similarly, the proposed method obtained the maximal energy of 71.25J, and maximal throughput of 129.77kbps.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"42 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Semantic Web and Information Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4018/ijswis.300824","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 7

Abstract

This paper solves the Internet of Things (IoT) security issues by introducing a Chaotic Whale Crow (CWC) optimization, which is the integration of Chaotic Whale Optimization Algorithm (CWOA) in Crow Search Algorithm (CSA). The framework operates on two crucial aspects: one is to select the secure nodes, and the other is to implement secure routing using the selected trusted nodes. First, the selection of trusted nodes is performed based on trust factors like direct, indirect, forwarding rate, integrity, and availability factors. Then, the selected trusted nodes are adapted for trust-based secure routing, which is optimally performed using the proposed CWC, based on the fitness parameters trust and energy. Finally, the proposed CWC is evaluated, which revealed high performance with a minimal delay of 191.46ms, which shows 14.87%, 7.35%, 6.82%, 4.19%, and 5.74% improved performance comapred to existing LaSeR, PM Ipv6, secTrust-RPL RISA, and LSDAR techniques. Similarly, the proposed method obtained the maximal energy of 71.25J, and maximal throughput of 129.77kbps.

查看原文本刊更多论文

物联网环境下安全路由的混沌鲸鱼乌鸦优化算法

本文通过引入混沌鲸鱼乌鸦算法(CWC)来解决物联网安全问题，该算法是混沌鲸鱼优化算法(CWOA)与乌鸦搜索算法(CSA)的集成。该框架在两个关键方面进行操作:一个是选择安全节点，另一个是使用所选的可信节点实现安全路由。首先，基于直接、间接、转发率、完整性和可用性等信任因素进行可信节点的选择。然后，将选择的可信节点适配到基于信任的安全路由中，并基于适应度参数信任和能量，使用所提出的CWC进行最优执行。最后，对CWC进行了评估，结果表明，该CWC具有较高的性能，最小延迟为191.46ms，与现有的LaSeR、PM Ipv6、secTrust-RPL RISA和LSDAR技术相比，性能分别提高了14.87%、7.35%、6.82%、4.19%和5.74%。同样，该方法的最大能量为71.25J，最大吞吐量为129.77kbps。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal on Semantic Web and Information Systems 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.50%

发文量

审稿时长

20 months

期刊介绍： The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.