SSO Based Fingerprint Authentication of Cloud Services for Organizations

International Journal on Recent and Innovation Trends in Computing and Communication, Год журнала: 2023, Номер 11(11), С. 536 - 547

Опубликована: Дек. 31, 2023

Access to a pool of programmable resources, such as storage space, applications, services, and on-demand networks, is made possible by cloud computing technology. Involving the with organization reduces its efforts meet needs customers. The Single Sign-On (SSO) method, which enables users access various application services using single user credential, one key benefits computing. There are numerous problems difficulties that need be highlighted. However, protecting agent privacy against security assaults far more challenging. To combat assaults, this study suggests SSO-based biometric authentication architecture for services. Since end devices computationally inefficient processing information during authentication, effective resources controlled at time accessing As result, proposed design minimizes attacks in An innovative strategy establishes one-to-one interaction between service provider also included suggested design. In case, agents can use their fingerprint seek registration. highlights have been offered based on comparison analysis number existing architectures.

Язык: Английский

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A Linear Regularized Normalized Model for Dyslexia and ADHD Prediction Using Learning Approaches

International Journal on Recent and Innovation Trends in Computing and Communication, Год журнала: 2023, Номер 11(11), С. 560 - 571

Опубликована: Дек. 31, 2023

A learning disability called dyslexia typically affects school-age kids. Children have trouble spelling, reading, and writing words. who experience this problem often struggle with negative emotions, rage, frustration, low self-esteem. Consequently, a predictor system is required to assist children in overcoming the risk. There are many current ways of predicting dyslexia. However, they need provide higher prediction accuracy. Also, work concentrates on another disorder known as Attention-Deficit Hyperactivity Disorder (ADHD). The process more challenging shows some consequences. data gathered from online resources for process. This study examines how model predicts ADHD using strategies. Here, most important features accurately classifying dyslexia, non-dyslexia extracted new Support Vector Machine (SVM) feature selection based norm norm. Based weighted values, predicted provides improved subset internet-accessible dataset. accuracy, precision, F1-score, specificity, sensitivity, execution time all examined here 10-fold cross-validation. maximum accuracy reached during carefully reviewed. experiment results imply that anticipated used predict defect tool CDSS. Recently, has been greatly aided by computer-based systems. expected also effectively fits experimental design, bridging gap between classification.

Язык: Английский

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Design Optimization of Electric Motor (Induction Motor) Using Genetic Algorithm

International Journal on Recent and Innovation Trends in Computing and Communication, Год журнала: 2023, Номер 11(8), С. 553 - 559

Опубликована: Авг. 31, 2023

Various three phase Induction Motors are extensively used in domestic, commercial and industrial applications. One such induction motor is the Squirrel Cage type which characterized by its simplicity, robustness low cost. Hence, squirrel cage motors sector. However these consume large quantities of power. The reduction electric energy consumption through a better design an attractive option. Optimization electromagnetic devices requires consideration discrete continuous variables discontinuities search space.

Язык: Английский

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