[HTML][HTML] Empowering homes with intelligence: An investigation of smart home technology adoption and usage
S Gøthesen, M Haddara, KN Kumar - Internet of Things, 2023 - Elsevier
The increasing interconnectedness of the world, coupled with the proliferation of connected
devices, networks, and intricate systems, has paved the way for unparalleled opportunities …
devices, networks, and intricate systems, has paved the way for unparalleled opportunities …
A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …
family settings, where there may not be constant monitoring of individuals' health, especially …
Data-driven Technology Applications in Planning, Demand-side Management, and Cybersecurity for Smart Household Community
The need for data-driven technologies such as artificial intelligence (AI), machine learning
(ML), and deep learning (DL) in various sectors has been soaring for over a decade. The …
(ML), and deep learning (DL) in various sectors has been soaring for over a decade. The …
Analyzing and detecting Botnet Attacks using Anomaly Detection with Machine Learning
RB Ramesh, SJJ Thangaraj - 2023 5th International …, 2023 - ieeexplore.ieee.org
Botnet attacks have become a significant danger in the digital landscape, posing a
significant risk to personnel and public. The ability to detect and mitigate botnet attacks is …
significant risk to personnel and public. The ability to detect and mitigate botnet attacks is …
An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN
Network management is a crucial task to maintain modern systems and applications
running. Some applications have become vital for society and are expected to have zero …
running. Some applications have become vital for society and are expected to have zero …
An intelligent multi-layer framework with SHAP integration for botnet detection and classification
In increasingly interconnected digital world, the threat of cyber-attacks and data breaches
are a pervasive and growing concern. The Botnets are the most dangerous threats that …
are a pervasive and growing concern. The Botnets are the most dangerous threats that …
Legal Challenges in Overcoming Changes in Social Behaviour Due to the Development of Technology and Information
SO Suryanto, A Mulyana - Golden Ratio of Law and Social Policy …, 2024 - goldenratio.id
The development of technology and information that is spread globally, especially in
Indonesia, has a significant impact on changes in social behavior in people's lives …
Indonesia, has a significant impact on changes in social behavior in people's lives …
Cyber physical anomaly detection for smart homes: A survey
Twenty-first-century human beings spend more than 90\% of their time in indoor
environments. The emergence of cyber systems in the physical world has a plethora of …
environments. The emergence of cyber systems in the physical world has a plethora of …
Machine learning-based anomaly detection for smart home networks under adversarial attack
As smart home networks become more widespread and complex, they are capable of
providing users with a wide range of applications and services. At the same time, the …
providing users with a wide range of applications and services. At the same time, the …
Near Field Communication Studies in Transportation Business
S Sarjana - 2023 3rd International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Near Field Communication provides modern solutions that support the transformation of
transportation business to become more effective and efficient, interconnected, user …
transportation business to become more effective and efficient, interconnected, user …