Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities

Aljehane, Nojood O.; Mansour, Romany F.

doi:10.1111/exsy.12718

Cited by 10 publications

(7 citation statements)

References 27 publications

(28 reference statements)

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“…However, since certificate administration is necessary, the system may not scale well. Nobody has any idea who you are using blockchain technology [16][17][18][19][20]; bilinear pairing is both secure and efficient. This technique conserves both energy and money.…”

Section: Problems With Cryptomentioning

confidence: 99%

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

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Wireless body area networks (WBANs) have seen an increase in popularity in recent years. Electromagnetic waves created by the body have the capacity to connect nodes all over the epidermis and throughout the body. If the gadget does not cause discomfort or harm, it can be linked to or implanted in the body. This is something that is currently being worked on. Other factors influence an individual’s genuine mobility and the ease with which they can use something. Participating in social networks may enhance the lives of members. WBANs equipped with sensors can monitor a user’s heart rate and communicate that information to the user’s physician. WBAN has been shown to be a dependable electronic health solution. WBAN technology allows you to follow your patient’s data no matter where they are, when they are, or what they are doing. However, because it runs in an open Wi-Fi environment and can conceal users’ physiological data, it is more vulnerable to assault. To deal with resource-constrained WBAN sensors and devices, a cryptographic solution that is both very efficient and extremely secure is required. Our primary priority will be the safeguarding of the WBAN network. WBAN contains several significant security weaknesses that must be addressed immediately. WBANs might benefit from certificateless signature encryption that uses a hyperelliptic curve and works over a secure channel. We are outpaced by the opposition by 4.58 milliseconds.

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Section: Problems With Cryptomentioning

confidence: 99%

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…Also, it is understood that dingoes (alpha, beta, etc.) upgrade the position arbitrarily and estimate the location of the prey in the searching space [21,22].…”

Section: Hyperparameter Tuning Processmentioning

confidence: 99%

Networking Controller Based Real Time Traffic Prediction in Clustered Vehicular Adhoc Networks

Balaji¹,

Srinivasan²

2023

Intelligent Automation &Amp; Soft Computing

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“…Thus the smoothness of the learned function is controlled by kernel function [29]. Among 16 attributes 10 features are taken as input and 3 attributes such as PrevalentStroke, PrevalentHyp, and Diabetes features are the target variable that influenced the learning function.…”

Section: Second Grid Searchmentioning

confidence: 99%

Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters

Prabu¹,

Thiyaneswaran²,

Sujatha³

et al. 2022

Computer Systems Science and Engineering

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Diagnosing the cardiovascular disease is one of the biggest medical difficulties in recent years. Coronary cardiovascular (CHD) is a kind of heart and blood vascular disease. Predicting this sort of cardiac illness leads to more precise decisions for cardiac disorders. Implementing Grid Search Optimization (GSO) machine training models is therefore a useful way to forecast the sickness as soon as possible. The state-of-the-art work is the tuning of the hyperparameter together with the selection of the feature by utilizing the model search to minimize the false-negative rate. Three models with a cross-validation approach do the required task. Feature Selection based on the use of statistical and correlation matrices for multivariate analysis. For Random Search and Grid Search models, extensive comparison findings are produced utilizing retrieval, F1 score, and precision measurements. The models are evaluated using the metrics and kappa statistics that illustrate the three models' comparability. The study effort focuses on optimizing function selection, tweaking hyperparameters to improve model accuracy and the prediction of heart disease by examining Framingham datasets using random forestry classification. Tuning the hyperparameter in the model of grid search thus decreases the erroneous rate achieves global optimization.

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Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities

Cited by 10 publications

References 27 publications

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Networking Controller Based Real Time Traffic Prediction in Clustered Vehicular Adhoc Networks

Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters

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