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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM36614
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Thanks to developments in Internet of Things (IoT) technology, safety and security alerting in smart homes has become a fundamental component of contemporary living. Smart houses are outfitted with an array of networked gadgets, in- cluding cameras, sensors, locks, and alarms, which collaborate to keep an eye on and safeguard the property. Homeowners can receive real-time messages and alerts from these systems on possible security breaches, fire threats, gas leaks, and other safety concerns. Smart home security systems can distinguish between typical activity and questionable conduct by utilizing data analytics and machine learning. This reduces false alerts and improves overall efficiency.Homeowners may now remotely control and monitor their properties thanks to the integration of voice assistants and mobile applications, which further improves user experience. These systems can automatically notify emer- gency contacts or local authorities in the event of an emergency, guaranteeing a prompt response. Further improvements in safety and security are anticipated as smart home technology continues to evolve; future models may have even more sophisticated predictive analytics and seamless interaction with public safety infrastructures. But these developments also give rise to worries about cybersecurity and data privacy, which calls for strong security measures to safeguard user information and guarantee the dependability of these alerting systems.
KEYWORDS
Publication Date
7/19/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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