RETRACTED ARTICLE: Optimised with Secure Approach in Detecting and Isolation of Malicious Nodes in MANET

Thiagarajan, R.; Ganesan, R.; Anbarasu, V.; Baskar, M.; Arthi, K.; Ramkumar, J.

doi:10.1007/s11277-021-08092-0

Cited by 26 publications

(6 citation statements)

References 11 publications

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“…We used AWK substance to examine the follow-up record. Throughput shows the proportion of data collected from the source center at the target center point over the maximum transmission time [27][28][29][30].…”

Section: System Modelmentioning

confidence: 99%

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Padmapriya¹,

Shankar²,

Thiagarajan³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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The Mobile Ad-hoc Network (MANET) is a dynamic topology that provides a variety of executions in various disciplines. The most sticky topic in organizational fields was MANET protection. MANET is helpless against various threats that affect its usability and accessibility. The dark opening assault is considered one of the most far-reaching dynamic assaults that deteriorate the organization's execution and reliability by dropping all approaching packages via the noxious node. The Dark Opening Node aims to deceive any node in the company that wishes to connect to another node by pretending to get the most delicate ability to support the target node. Ad-hoc On-demand Distance Vector (AODV) is a responsive steering convention with no corporate techniques to locate and destroy the dark opening center. We improved AODV by incorporating a novel compact method for detecting and isolating lonely and collaborative black-hole threats that utilize clocks and baits. The recommended method allows MANET nodes to discover and segregate black-hole network nodes over dynamic changes in the network topology. We implement the suggested method's performance with the help of Network Simulator (NS)-3 simulation models. Furthermore, the proposed approach comes exceptionally near to the original AODV, absent black holes in terms of bandwidth, end-to-end latency, error rate, and delivery ratio.

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Section: System Modelmentioning

confidence: 99%

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Padmapriya¹,

Shankar²,

Thiagarajan³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Also, the parameter α shows the overall importance of endogenous versus exogenous factors in the assurance of centrality. Eigenvector centrality originally proposed by [4,14] has ended up being one of symmetric system centrality's standard measures and can recognize the centrality intensity of a node in the light of the possibility that relationship with high-scoring hubs contribute more to the hub's score being alluded to than ascend to relationship with low-scoring hubs.…”

Section: Existing Centrality Measuresmentioning

confidence: 99%

“…They have from the earlier known networks and are utilized to think about various network discovery methods. [14] The benefit of the benchmark dataset over different techniques it represents the varieties in the circulations of network degree and sizes [32]. In particular, this program is designed to create binary networks with overlapping nodes.…”

Section: Phase 1c Lfr Benchmark Datasetsmentioning

confidence: 99%

An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment

Jeyasudha

Usha

2021

Wireless Pers Commun

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With an advent of social networks, spamming has posted the most important serious issues among the users. These are termed as influential users who spread the spam messages in the community which has created the social and psychological impact on the users. Hence the identification of such influential nodes has become the most important research challenge. The paper proposes with a method to (1) detect a community using community algorithms with the Laplacian Transition Matrix that is the popular hashtag (2) to find the Influential nodes or users in the Community using Intelligent centrality measure's (3) The implementation of machine learning algorithm to classify the intensity of users.The extensive experimentations has been carried out using the COVID-19 datasets with the different machine learning algorithms. The methodologies SVM and PCA provide the accuracy of 98.6 than the linear regression for using the new centrality measures and the other scores like NMI, RMS, are found for the methods. As a result finding out the Influential nodes will help us find the Spammy and genuine accounts easily.

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“…Textile materials pave the way and play an essential role in wearable technologies. 2,3 As a vital part of these systems, Wearable antennas mainly used fabric textile materials that could be integrated with clothes. 4,5 The microstrip antennas also showed spectacular advantages in different fields of study.…”

Section: Introductionmentioning

confidence: 99%

“…The technology is developing, and wearable devices have also been used in various applications. Textile materials pave the way and play an essential role in wearable technologies 2,3 . As a vital part of these systems, Wearable antennas mainly used fabric textile materials that could be integrated with clothes 4,5 …”

Section: Introductionmentioning

confidence: 99%