A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent-Reference-Cited by-同舟云学术

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A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent

Published:2024-11 Issue: Volume:119 Page:109604
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Bajpai Abhishek^ORCID,Chaurasia Divyansh,Tiwari Naveen

Publisher

Elsevier BV

Reference40 articles.

1. The internet of things: A survey;Atzori;Comput Netw,2010

2. Mutual authentication scheme for smart devices in IoT-enabled smart home systems;Ma;Comput Stand Interfaces,2023

3. There’s no place like home: Understanding users’ intentions toward securing internet-of-things (IoT) smart home networks;Philip;Comput Hum Behav,2023

4. The design and fulfillment of a smart home (SH) material powered by the IoT using the blynk app;Omran;Mater Today Proc,2022

5. Cyber attack detection in IoT networks with small samples: Implementation and analysis;Kanthuru,2022

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