[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches

M Hasan, MM Islam, MII Zarif, MMA Hashem - Internet of Things, 2019 - Elsevier
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …

RETRACTED: Detection of attacks in IoT sensors networks using machine learning algorithm

P Bedi, S Mewada, RA Vatti, C Singh, KS Dhindsa… - 2021 - Elsevier
Significant similarities were noticed post-publication between this special issue article and
other published sources. There is an indication that attempts have been made to disguise …

A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks

MM Inuwa, R Das - Internet of Things, 2024 - Elsevier
This study explores the growing challenges of cybersecurity in the context of rapidly adopted
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …

Machine learning based anomaly detection for IoT network:(Anomaly detection in IoT network)

NK Sahu, I Mukherjee - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
As the world is leading towards having everything smart, like smart home, smart grid smart
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …

[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review

SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …

[HTML][HTML] A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

A hybrid machine learning model for detecting cybersecurity threats in IoT applications

M Usoh, P Asuquo, S Ozuomba, B Stephen… - International Journal of …, 2023 - Springer
The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …

[HTML][HTML] Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …