A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions

MM Rahman, D Gupta, S Bhatt, S Shokouhmand… - Future Internet, 2024 - mdpi.com
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 …

From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding

A Khanan, YA Mohamed, AH Mohamed… - IEEE Access, 2024 - ieeexplore.ieee.org
In the wake of the expanding digital realm, the imperative for robust cybersecurity measures
has burgeoned significantly. This extensive investigation digs into the complicated realm of …

[HTML][HTML] Technical, Qualitative and Energy Analysis of Wireless Control Modules for Distributed Smart Home Systems

A Ożadowicz - Future Internet, 2023 - mdpi.com
Distributed smart home systems using wireless communication are increasingly installed
and operated in households. Their popularity is due to the ease of installation and …

Data Anomaly Detection in the Internet of Things: A Review of Current Trends and Research Challenges

M Yang, J Zhang - International Journal of Advanced …, 2023 - search.proquest.com
Abstract The Internet of Things (IoT) has revolutionized how we interact with the physical
world, bringing a new era of connectivity. Billions of interconnected devices seamlessly …

Study of the SNORT intrusion detection system based on machine learning

O El Aeraj, C Leghris - 2023 7th IEEE Congress on Information …, 2023 - ieeexplore.ieee.org
Internet users can carry out their attacks by taking advantage of the flaws in networks and
systems, therefore they are not always acting with good intentions. The repercussions of …

Power Consumption Analysis as a Detection Indicator for Cyberattacks on Smart Home Devices

V Schorr, N Kamenev, T Bleistein, D Werth… - Energy Informatics …, 2023 - Springer
The increasing prevalence of smart home devices has created new opportunities for
cyberthreats and-attacks, necessitating effective security measures for their protection. This …

ML-based security analytics in South African SMEs: A review and classification

T Singano, H Ngejane, C Mudau… - 2023 International …, 2023 - ieeexplore.ieee.org
In recent decades, the number of internet users has grown rapidly, leading to an increase in
the number of cybercriminal activities. As a result, the research community has presented …

Analysis of the SNORT intrusion detection system using machine learning

O El Aeraj, C Leghris - International Journal of Information Science and …, 2024 - innove.org
Today, cyber-attacks that exploit networks and systems vulnerabilities are becoming more
and more effective, reflecting the malicious intentions of certain Internet users. These attacks …

Herramienta para el despliegue de laboratorios virtuales mediante Docker

Á Castro García - 2023 - idus.us.es
En el ecosistema digital actual, las redes de computadores son cada vez más complejas y
su funcionamiento es cada vez más difícil de comprender sin ver a las mismas en ejecución …