Secure authentication and key management based on hierarchical enhanced identity based digital signature in heterogeneous wireless sensor network

IF 2.1 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-05-06 DOI:10.1007/s11276-024-03745-x
Siddiq Iqbal, B. R. Sujatha
{"title":"Secure authentication and key management based on hierarchical enhanced identity based digital signature in heterogeneous wireless sensor network","authors":"Siddiq Iqbal, B. R. Sujatha","doi":"10.1007/s11276-024-03745-x","DOIUrl":null,"url":null,"abstract":"<p>Nowadays, secured data transmission has become the most desired need for all networks. Ensuring secure authentication and data transmission in the network is a significant and important task in a heterogeneous wireless sensor network (HWSN). Even though several models are adopted in the network, offering secure authentication and sustaining the energy along with key management is still considered a major problem in the research community. Thus, in this paper, a novel energy efficient clustering and routing algorithm is proposed based on the Hierarchical enhanced identity based digital signature (Hierarchical-EIDS) algorithm in HWSN. Initially, an efficient clustering and cluster head (CH) selection are performed using a fuzzy transient search algorithm (FTSA) in order to play a significant role in energy consumption. In the next stage, adaptive Aquila optimization (AAO) has been introduced to define the optimal route for efficient data transmission. To overcome the mutual authentication, bilinear pairings, and public key generation, a Hierarchical-EIDS scheme is applied. Here, the homomorphic equilibrium (HE) algorithm is employed to generate a key for a particular sensor node (SN). The proposed method is implemented in MATLAB, and a comparative analysis has been carried out to determine the efficacy of the model. As a result, the proposed method accomplishes better performance in terms of security strength (0.08 per packet), average energy (AE) consumption (8.861 J), average end-to-end (AEE) delay (0.344 ms), and key length (1900 character). The acquired results outperform the existing models and prove their effectiveness.</p>","PeriodicalId":23750,"journal":{"name":"Wireless Networks","volume":"27 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wireless Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11276-024-03745-x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Nowadays, secured data transmission has become the most desired need for all networks. Ensuring secure authentication and data transmission in the network is a significant and important task in a heterogeneous wireless sensor network (HWSN). Even though several models are adopted in the network, offering secure authentication and sustaining the energy along with key management is still considered a major problem in the research community. Thus, in this paper, a novel energy efficient clustering and routing algorithm is proposed based on the Hierarchical enhanced identity based digital signature (Hierarchical-EIDS) algorithm in HWSN. Initially, an efficient clustering and cluster head (CH) selection are performed using a fuzzy transient search algorithm (FTSA) in order to play a significant role in energy consumption. In the next stage, adaptive Aquila optimization (AAO) has been introduced to define the optimal route for efficient data transmission. To overcome the mutual authentication, bilinear pairings, and public key generation, a Hierarchical-EIDS scheme is applied. Here, the homomorphic equilibrium (HE) algorithm is employed to generate a key for a particular sensor node (SN). The proposed method is implemented in MATLAB, and a comparative analysis has been carried out to determine the efficacy of the model. As a result, the proposed method accomplishes better performance in terms of security strength (0.08 per packet), average energy (AE) consumption (8.861 J), average end-to-end (AEE) delay (0.344 ms), and key length (1900 character). The acquired results outperform the existing models and prove their effectiveness.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
异构无线传感器网络中基于分层增强身份的数字签名的安全认证和密钥管理
如今,安全数据传输已成为所有网络的最大需求。确保网络安全认证和数据传输是异构无线传感器网络(HWSN)的一项重要任务。尽管网络中采用了多种模式,但提供安全认证和维持能量以及密钥管理仍被认为是研究界的一大难题。因此,本文在 HWSN 中提出了一种基于分层增强身份数字签名(Hierarchical-EIDS)算法的新型节能聚类和路由算法。首先,使用模糊瞬态搜索算法(FTSA)进行高效聚类和簇头(CH)选择,以便在能耗方面发挥重要作用。在下一阶段,引入了自适应阿奎拉优化算法(AAO),以确定高效数据传输的最佳路径。为了克服相互验证、双线性配对和公钥生成等问题,我们采用了分层-EIDS 方案。该方案采用同态均衡(HE)算法为特定传感器节点(SN)生成密钥。提出的方法在 MATLAB 中实现,并进行了比较分析,以确定模型的有效性。结果表明,所提出的方法在安全强度(每个数据包 0.08)、平均能量(AE)消耗(8.861 J)、平均端到端(AEE)延迟(0.344 ms)和密钥长度(1900 个字符)方面都有更好的表现。获得的结果优于现有模型,证明了其有效性。
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 去求助
来源期刊
Wireless Networks
Wireless Networks 工程技术-电信学
CiteScore
7.70
自引率
3.30%
发文量
314
审稿时长
5.5 months
期刊介绍: The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.
期刊最新文献
An EEG signal-based music treatment system for autistic children using edge computing devices A DV-Hop localization algorithm corrected based on multi-strategy sparrow algorithm in sea-surface wireless sensor networks Multi-Layer Collaborative Federated Learning architecture for 6G Open RAN Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection Exploiting data transmission for route discoveries in mobile ad hoc networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1