[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Design of an intrusion detection model for IoT-enabled smart home

D Rani, NS Gill, P Gulia, F Arena, G Pau - IEEE Access, 2023 - ieeexplore.ieee.org
Machine learning (ML) provides effective solutions to develop efficient intrusion detection
system (IDS) for various environments. In the present paper, a diversified study of various …

An Ensemble‐Based Multiclass Classifier for Intrusion Detection Using Internet of Things

D Rani, NS Gill, P Gulia… - Computational …, 2022 - Wiley Online Library
Internet of Things (IoT) is the fastest growing technology that has applications in various
domains such as healthcare, transportation. It interconnects trillions of smart devices through …

Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JI Iturbe Araya, H Rifà-Pous - Internet of Things, 2023, Vol. 22 …, 2023 - openaccess.uoc.edu
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

IoT-based Smart Home Security System with Machine Learning Models

S Hızal, Ü Çavuşoğlu, D Akgün - Academic Platform Journal of …, 2024 - dergipark.org.tr
The Internet of Things (IoT) has various applications in practice, such as smart homes and
buildings, traffic management, industrial management, and smart farming. On the other …

Design of Threat Detection Model for IoT-Enabled Smart Environment

A Dahiya, P Mittal - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
In an era marked by the pervasive integration of Internet of Things (IoT) technology into
diverse sectors, safeguarding the security of IoT-enabled smart environments has emerged …

Design of an Intrusion Detection Model for Iot-enabled Smart Home

A Kadam, PS Lokhande - Available at SSRN 4833390, 2024 - papers.ssrn.com
Abstract Machine learning (ML) provides effective solutions to develop efficient intrusion
detection systems (IDS) for various environments. A diversified study of various ensemble …

A Survey on IoT Device Authentication and Anomaly Detection for Cyber Security using Machine Learning

RB Varugu, GA Kumar - Available at SSRN 4798899, 2023 - papers.ssrn.com
This study thoroughly analyzes the key factors related to the overlap of Internet of Things
(IoT) device authentication and anomaly detection to enhance cyber security using machine …

[PDF][PDF] Research Article An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things

D Rani, NS Gill, P Gulia, JM Chatterjee - 2022 - academia.edu
Internet of ings (IoT) is the fastest growing technology that has applications in various
domains such as healthcare, transportation. It interconnects trillions of smart devices through …

Forecasting Building Energy Demand in Seoul Under Different Climate and Development Scenarios using LSTM

박지연 - 2023 - s-space.snu.ac.kr
Alongside the rising global consensus to take more proactive measures to tackle climate
change, Seoul Metropolitan Government (SMG) pledged 2050 carbon neutrality and …