Logistic Boosted Algorithms for Securing Smart Homes Against Anomalies and Security Attacks

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ID: 313082
2024
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Ranked #678 of 705 articles by views in Journal of Computing & Biomedical Informatics

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Abstract
Abnormality identification is essential in brilliant home frameworks for upgraded wellbeing, security, and effectiveness. This study looks at the presentation of three AI calculations — arbitrary woods, support vector machines, and strategic helping — utilizing shrewd home sensor information. Strategic supporting beat different techniques in exactness, accuracy, review, and F1 score, with better treatment of imbalanced datasets. Irregular woods succeeded in all testing means, while help vector machines had high review however lower exactness, accuracy, and F1 score. The review features the viability of strategic supporting and arbitrary backwoods for peculiarity location in shrewd homes, with potential for additional examination in this field.
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Authors Sayyid Kamran Hussain
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/465
Keywords Keywords not found

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