[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 …
the internet, enable remote monitoring, automation, and control. However, collecting …
[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection
R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
Anomaly Detection in Smart Environments: A Comprehensive Survey
Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …
individuals in smart environments. This paper provides a comprehensive analysis of recent …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
{ARGUS}:{Context-Based} Detection of Stealthy {IoT} Infiltration Attacks
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices
control various functions in smart homes and buildings, smart cities, and smart factories …
control various functions in smart homes and buildings, smart cities, and smart factories …
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework
The successful applications and diversified popularity of the Internet of Things (IoT) present
various advantages and opportunities in broad characteristics of our lives. However …
various advantages and opportunities in broad characteristics of our lives. However …
Robust learning-enabled intelligence for the internet of things: A survey from the perspectives of noisy data and adversarial examples
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been widely adopted in a range of verticals, eg, automation,
health, energy, and manufacturing. Many of the applications in these sectors, such as self …
health, energy, and manufacturing. Many of the applications in these sectors, such as self …
Ensemble-based spam detection in smart home IoT devices time series data using machine learning techniques
The number of Internet of Things (IoT) devices is growing at a fast pace in smart homes,
producing large amounts of data, which are mostly transferred over wireless communication …
producing large amounts of data, which are mostly transferred over wireless communication …
Anomaly detection in IoT environment using machine learning
H Bilakanti, S Pasam, V Palakollu… - Security and …, 2024 - Wiley Online Library
This research paper delves into the security concerns within Internet of Things (IoT)
networks, emphasizing the need to safeguard the extensive data generated by …
networks, emphasizing the need to safeguard the extensive data generated by …
Three-layer hybrid intrusion detection model for smart home malicious attacks
With the development of Internet of Things and the increasingly rampant malicious network
activities, higher requirements are put forward for security to detect malicious behavior and …
activities, higher requirements are put forward for security to detect malicious behavior and …