Context-aware security involving access control for smart homes

Clicks: 2
ID: 285511
2023
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 #3,707 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 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 explosive growth of the field of IoT. The smart home continues to rise in popularity, with a number of nodes that outnumber the population of the cities. This brings a rising interest in smart home security. While smart home security systems have been made before, a true context-aware home security system that can provide a new level of access control faces several issues stemming from the chaos of the home environment. The paper observed and collected data from a home environment using a network of ESP32 sensors. The data was preprocessed and run through several machine learning algorithms to find a series of attributes that were most helpful in access control for a smart home. Among the observed attributes, attributes that help identify appliances with lots of limits to who can access them such as Object IDs, Object Type, and Location have been observed to be integral to access control. Adjacent attributes such as Participant IDs with low privilege have also been observed to be useful in access control by various machine learning algorithms. Performing a Principal Component Analysis shows that these attributes are also important in describing the data collected. The study achieved its objectives where it identified Object IDs, Object Type, and Location as attributes that are useful in access control in a context-aware environment. Nonetheless, it's crucial to acknowledge that the attributes identified may differ based on the particular context and environment. As such, while these findings hold true within the scope of this study, varying contexts could result in a different set of significant attributes.
Reference Key
persistent_1760655821_68f179cd04924 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Soler, Javier Alfonso Enrique
Journal Malay Journal
Year 2023
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_comtech/9
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.