Security analysis of network anomalies mitigation schemes in IoT networks
The Internet of Things (IoT) is on the rise and it is giving a new shape to several fields such
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
Efficient approach for anomaly detection in internet of things traffic using deep learning
The network intrusion detection system (NIDs) is a significant research milestone in
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
A stacked deep learning approach for IoT cyberattack detection
B Alotaibi, M Alotaibi - Journal of Sensors, 2020 - Wiley Online Library
Internet of things (IoT) devices and applications are dramatically increasing worldwide,
resulting in more cybersecurity challenges. Among these challenges are malicious activities …
resulting in more cybersecurity challenges. Among these challenges are malicious activities …
Anomaly detection/prediction for the internet of things: State of the art and the future
XX Lin, P Lin, EH Yeh - IEEE Network, 2020 - ieeexplore.ieee.org
Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
HADES-IoT: A practical host-based anomaly detection system for IoT devices
Internet of Things (IoT) devices have become ubiquitous and spread across many
application domains including the industry, transportation, healthcare, and households …
application domains including the industry, transportation, healthcare, and households …
IoT-KEEPER: Detecting malicious IoT network activity using online traffic analysis at the edge
I Hafeez, M Antikainen, AY Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
IoT devices are notoriously vulnerable even to trivial attacks and can be easily
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …
A hierarchical hybrid intrusion detection approach in IoT scenarios
Internet of Things (IoT) fosters unprecedented network heterogeneity and dynamicity, thus
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …
HADES-IoT: A practical and effective host-based anomaly detection system for IoT devices (extended version)
Internet of Things (IoT) devices have become ubiquitous, with applications in many domains,
including industry, transportation, and healthcare; these devices also have many household …
including industry, transportation, and healthcare; these devices also have many household …
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 …
Toward the protection of IoT networks: Introducing the LATAM-DDoS-IoT dataset
JG Almaraz-Rivera, JA Perez-Diaz… - IEEE …, 2022 - ieeexplore.ieee.org
Anomaly detection is a well-known topic in cybersecurity. Its application to the Internet of
Things can lead to suitable protection techniques against problems such as denial of service …
Things can lead to suitable protection techniques against problems such as denial of service …