Integrating IoT and Machine Learning to Provide Intelligent Security in Smart Homes

Clicks: 5
ID: 312858
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #535 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The technology is built entirely on the IoT and ML methods and is very desired in the sector of security. This method allows consumers to secure and regulate their homes. The system is used to track the treats in real time with response mechanism that detect with different sensor and send feed security information through internet. Smart home offer intelligent, real-time threat detection and response capabilities by utilizing decision tree, transfer learning logistic regression and SVM models.  Smart home collects, preprocessed and trained data from many IoT sensors, such as cameras and motion detectors and then apply Ml models to detect the threads and perform the action according to requirements. A total accuracy of 0.992 indicated the model’s strong performance, confirming its suitability for practical use. Decision tree and transfer learning models perform higher Accuracy rates than SVM and logistic regression. These findings highlight the great potential of fusing IoT and machine learning technologies to produce flexible, effective, and scalable security solutions. They also offer a strong foundation for the implementation of dependable and high-performing machine learning models in real-world smart home security systems.
Reference Key
imported_1777057385_69ebbe697d989 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Naeem Aslam
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/476
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.