An improved anomaly detection model for IoT security using decision tree and gradient boosting
M Douiba, S Benkirane, A Guezzaz… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) represents a massive deployment of connected, intelligent
devices that communicate directly in private, public, and professional environments without …
devices that communicate directly in private, public, and professional environments without …
A novel multi algorithm approach to identify network anomalies in the IoT using Fog computing and a model to distinguish between IoT and Non-IoT devices
RJ Alzahrani, A Alzahrani - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks.
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …
Deep learning anomaly detection for cellular IoT with applications in smart logistics
The number of connected Internet of Things (IoT) devices within cyber-physical infrastructure
systems grows at an increasing rate. This poses significant device management and security …
systems grows at an increasing rate. This poses significant device management and security …
Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning
I Alrashdi, A Alqazzaz, E Aloufi… - 2019 IEEE 9th …, 2019 - ieeexplore.ieee.org
In recent years, the wide adoption of the modern Internet of Things (IoT) paradigm has led to
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
Towards a hybrid deep learning model for anomalous activities detection in internet of things networks
The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has
provided us with unprecedented productivity and simplified our daily life. At the same time …
provided us with unprecedented productivity and simplified our daily life. At the same time …
[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
CIoTA: Collaborative IoT anomaly detection via blockchain
Due to their rapid growth and deployment, Internet of things (IoT) devices have become a
central aspect of our daily lives. However, they tend to have many vulnerabilities which can …
central aspect of our daily lives. However, they tend to have many vulnerabilities which can …
Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …
information technology, while the exponentially increasing number of tiny, connected …
[PDF][PDF] Anomaly Detection for Industrial Internet of Things Cyberattacks.
R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
Robust anomaly detection on unreliable data
Classification algorithms have been widely adopted to detect anomalies for various systems,
eg, IoT and cloud, under the common assumption that the data source is clean, ie, features …
eg, IoT and cloud, under the common assumption that the data source is clean, ie, features …