Security analysis of network anomalies mitigation schemes in IoT networks

MA Lawal, RA Shaikh, SR Hassan - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Efficient approach for anomaly detection in internet of things traffic using deep learning

SI Imtiaz, LA Khan, AS Almadhor… - Wireless …, 2022 - Wiley Online Library
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 …

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 …

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 …

HADES-IoT: A practical host-based anomaly detection system for IoT devices

D Breitenbacher, I Homoliak, YL Aung… - Proceedings of the …, 2019 - dl.acm.org
Internet of Things (IoT) devices have become ubiquitous and spread across many
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 …

A hierarchical hybrid intrusion detection approach in IoT scenarios

G Bovenzi, G Aceto, D Ciuonzo… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) fosters unprecedented network heterogeneity and dynamicity, thus
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)

D Breitenbacher, I Homoliak, YL Aung… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices have become ubiquitous, with applications in many domains,
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 …

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 …