TriChain: Kangaroo-Based Intrusion Detection for Secure Multipath Route Discovery and Route Maintenance in MANET Using Advanced Routing Protocol

J. A. Rathod, Manjunath Kotari
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Abstract

– Several practical applications are combined in a new paradigm known as 5G-based mobile ad hoc networks (MANET) with cloud. Numerous existing works perform trust assessment, intrusion detection, and route discovery to improve secure data transmission in MANET. Route maintenance was not carried out in several of the existing works, and the absence of enumerating link status and node reliability during route maintenance results in link failure and increases packet loss. By considering the existing issues, a novel Kangaroo-based intrusion detection system was proposed to eliminate malicious nodes from the network using Bidirectional-Long Short-Term Memory (Bi-LSTM). This increases data transmission security. For graphical user authentication, encryption based on ASCII values of the Reflection tree (E-ART algorithm) is employed. In this paper, a divide well merge algorithm was implemented, which is a better approach for hierarchical clustering. This method consists of two phases: a Division and Merging phase. The effective route identification and route maintenance in MANET are implemented by using an Advanced Ad-hoc On-demand Distance Vector Protocol (Advanced AODV), which discovers the route using the Fire Hawk Optimization Algorithm (FHO) to obtain optimal multipath by contemplating trust, node connectivity, throughput, node degree, bandwidth, energy and distance where this protocol offers loop-free operation and enhance its scalability to numerous numbers of terminals. In this way, route discovery and route maintenance are established to enhance secure data transmission, thereby reducing packet loss. The modified blockchain called TriChain is proposed for enhancing data transmission security. For the Proof of Work based on Reputation (PoWR) consensus algorithm is used to reduce transaction confirmation latency and block creation time thereby increasing security. In this way, route discovery and route maintenance are established to enhance secure data transmission thereby reducing packet loss. The proposed work is evaluated using detection rate, energy consumption, packet delivery rate, throughput, authentication rate and delay.
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TriChain:基于袋鼠的入侵检测,使用高级路由协议实现城域网中的安全多路径路由发现和路由维护
- 基于 5G 的移动特设网络(MANET)与云技术的新模式结合了多种实际应用。现有的许多研究都在进行信任评估、入侵检测和路由发现,以提高城域网数据传输的安全性。现有的几项研究都没有进行路由维护,而且在路由维护过程中没有枚举链路状态和节点可靠性,导致链路故障和数据包丢失增加。考虑到现有问题,我们提出了一种基于袋鼠的新型入侵检测系统,利用双向长短期记忆(Bi-LSTM)消除网络中的恶意节点。这提高了数据传输的安全性。在图形用户认证方面,采用了基于反射树 ASCII 值的加密算法(E-ART 算法)。本文采用了一种分好合并算法,这是一种较好的分层聚类方法。这种方法包括两个阶段:划分和合并阶段。城域网中有效的路由识别和路由维护是通过使用高级按需分布式距离矢量协议(Advanced Ad-hoc On-demand Distance Vector Protocol,Advanced AODV)实现的,该协议使用火鹰优化算法(Fire Hawk Optimization Algorithm,FHO)发现路由,通过考虑信任度、节点连接性、吞吐量、节点等级、带宽、能量和距离等因素获得最佳多路径,该协议提供无环路运行,并增强其对大量终端的可扩展性。通过这种方式,可以建立路由发现和路由维护,以加强数据传输的安全性,从而减少数据包丢失。为提高数据传输的安全性,提出了名为 TriChain 的改进型区块链。基于信誉的工作量证明(PoWR)共识算法用于减少交易确认延迟和区块创建时间,从而提高安全性。通过这种方式,建立了路由发现和路由维护,以增强数据传输的安全性,从而减少数据包丢失。利用检测率、能耗、数据包交付率、吞吐量、认证率和延迟对所提出的工作进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computer Networks and Applications
International Journal of Computer Networks and Applications Computer Science-Computer Science Applications
CiteScore
2.30
自引率
0.00%
发文量
40
期刊最新文献
Co-Ordinated Blackhole and Grayhole Attack Detection Using Smart & Secure Ad Hoc On-Demand Distance Vector Routing Protocol in MANETs Resilient Artificial Bee Colony Optimized AODV Routing Protocol (RABCO-AODV-RP) for Minimizing the Energy Consumption in Flying Ad-Hoc Network TriChain: Kangaroo-Based Intrusion Detection for Secure Multipath Route Discovery and Route Maintenance in MANET Using Advanced Routing Protocol Expedient Intrusion Detection System in MANET Using Robust Dragonfly-Optimized Enhanced Naive Bayes (RDO-ENB) Vehicular Ad Hoc Networks Assisted Clustering Nodular Framework for Optimal Packet Routing and Scaling
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