Optimal solution for malicious node detection and prevention using hybrid chaotic particle dragonfly swarm algorithm in VANETs

Saravanan, P.; Sethukarasi, T.

doi:10.1007/s11276-020-02413-0

Cited by 15 publications

(7 citation statements)

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“…Prabakeran et al states Chaos theory is applied to tune the parameters of proposed HCPDS algorithm. It is also proved that the HCPDS based proposed approach can efficiently meet the requirements of security and privacy in VANETs [17]. Prabakeran et al explains their proposed frameworks of Fuzzy with BW-SMO effectively to solve optimizing selection and join queries with low cost, latency, and securing data.The fuzzy can be used to cluster the query solution.…”

Section: Literature Surveymentioning

confidence: 96%

Women’s Mental Health Chatbot Using Seq2seq With Attention

Prabakeran¹

2021

TURCOMAT

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Mental healthcare is a privilege paying little heed to gender differences however the numbers show that ladies experience some emotional wellness conditions at a lot higher rates than me. This is mainly seen in the forms of anxiety and depression. Looking for help is a huge introductory stage in improving mental prosperity and getting access to mental healthcare. Diverse online organizations are instantly available for adolescents including self-composed, low force Web-based passionate health sites (eg, ReachOut), public web exhorting organizations (eg, Eheadspace), stores for information and resources concerning mental prosperity (eg, Somazone), and coordinated self-facilitated online treatment (eg, MoodGym). As the amount of psychotherapists isn't adequate, it is significant for agents to have the alternative to keep their mental prosperity in isolation. An autonomous mental clinical benefits course using VR devices has been made, and its pressing factor decline sway has been endorsed in advance. This assessment proposes another type of the course using phones and chatbots to overhaul its solace for use and to keep up customer motivation for consistently and reiterated use. The effects of pressing factor decline and motivation uphold were perceived to feel heard and give them a phase to their issues. It will allow anybody to login and profit by mental prosperity organizations in their district

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Section: Literature Surveymentioning

confidence: 96%

Women’s Mental Health Chatbot Using Seq2seq With Attention

Prabakeran¹

2021

TURCOMAT

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“…Aguilar-Mejía [111] used the DA to model and adjust the speed of a permanent-magnet synchronous motor with cracks. Prabakeran [117] added a PSO update strategy for the DA, to improve the search space. In addition, a hybrid chaotic particle dragonfly swarm algorithm was used in VANETs to detect deceptive and misbehaving nodes.…”

Section: Research Progress Regarding Theory and Application Of Dragon...mentioning

confidence: 99%

A survey on several new popular swarm intelligence optimization algorithms

Wei

Huang

2023

Preprint

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Traditional optimization methods rely on parameter selection and a require high mathematical performance of the objective function. Thus, swarm intelligence optimization algorithms have attracted extensive attention as modern optimization methods in recent years, achieving remarkable results in the fields of machine learning, engineering optimization, process control, and elsewhere. Swarm intelligence optimization algorithms are a form of computing technology built upon the laws of biological group behavior, they are simple, fast, and place low requirements upon the objective functions. The traditional swarm intelligence algorithm offers new ideas for solving certain practical problems, however, it suffers from shortcomings in several experiments. In recent years, numerous scholars have proposed new swarm intelligence optimization algorithms, this paper selects several of the more typical swarm intelligence algorithms proposed in recent years at home and abroad, including the Whale Optimization Algorithm, Moth-Flame Optimization Algorithm, Fireworks Algorithm, Dragonfly Algorithm, Crow Search Algorithm, Butterfly Optimization Algorithm, and Pigeons Algorithm. Furthermore, the experimental performances of these algorithms are compared with respect to their convergence speed, accuracy, and stability, using 18 standard test functions, and the relative improvement methods are compared and analyzed. Finally, the characteristics of the swarm intelligence optimization algorithm are summarized, and its future development potential is discussed.

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“…We chose

[ 38 ] and

[ 39 ] as baseline methods for comparison.

is the security mechanism proposed in this paper.…”

Section: Simulation-based Experiments and Performance Analysismentioning

confidence: 99%

“…where N f denotes the total number of true messages that are identified as false messages by the method, N i denotes the total number of true messages, N miss denotes the total number of false messages that are identified as true messages by the method, and N denotes the total number of false messages. We chose HCPDS [38] and GBPM [39] as baseline methods for comparison. BCSM is the security mechanism proposed in this paper.…”

Section: Evaluate the Detection Of Forged Messagesmentioning

confidence: 99%

On a Blockchain-Based Security Scheme for Defense against Malicious Nodes in Vehicular Ad-Hoc Networks

Liu

Fan

et al. 2022

Sensors

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Vehicular ad-hoc networks (VANETs) aim to provide a comfortable driving experience. Sharing messages in VANETs can help with traffic management, congestion mitigation, and driving safety. However, forged or false messages may undermine the efficiency of VANETs. In this paper, we propose a security scheme based on blockchain technology, where two types of blockchain are constructed based on roadside units (RSUs) and Certificate Authorities (CAs), respectively. The proposed security scheme has multifold goals to identify malicious nodes and detect forged messages based on multiple factors, such as reputation of sender nodes, and time and distance effectiveness of messages. In addition, an incentive mechanism is introduced on the RSU blockchain to encourage RSUs to adopt active behaviors. Extensive simulations show that the proposed scheme exhibits superior performances to existing methods in detecting forged messages and identifying malicious nodes. Meanwhile, it provides privacy protection and improves the efficiency of vehicular networks.

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Optimal solution for malicious node detection and prevention using hybrid chaotic particle dragonfly swarm algorithm in VANETs

Cited by 15 publications

References 50 publications

Women’s Mental Health Chatbot Using Seq2seq With Attention

Women’s Mental Health Chatbot Using Seq2seq With Attention

A survey on several new popular swarm intelligence optimization algorithms

On a Blockchain-Based Security Scheme for Defense against Malicious Nodes in Vehicular Ad-Hoc Networks

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