A review and state of art of Internet of Things (IoT)

AA Laghari, K Wu, RA Laghari, M Ali… - Archives of Computational …, 2021 - Springer
Abstract The Internet of Things (IoT) is basically like a system for connecting computer
devices, mechanical and digital machines, objects, or individuals provided with the unique …

[HTML][HTML] IoT anomaly detection methods and applications: A survey

A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

Smart anomaly detection in sensor systems: A multi-perspective review

L Erhan, M Ndubuaku, M Di Mauro, W Song, M Chen… - Information …, 2021 - Elsevier
Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

Transport and application layer DDoS attacks detection to IoT devices by using machine learning and deep learning models

JG Almaraz-Rivera, JA Perez-Diaz… - Sensors, 2022 - mdpi.com
From smart homes to industrial environments, the IoT is an ally to easing daily activities,
where some of them are critical. More and more devices are connected to and through the …

[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 …

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 …

A knowledge-driven anomaly detection framework for social production system

Z Li, X Xu, T Hang, H Xiang, Y Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the social production system, image data are rapidly generated from almost all fields such
as factories, hospitals, and transportation, promoting higher requirements for image anomaly …

LSTM-Markov based efficient anomaly detection algorithm for IoT environment

V Shanmuganathan, A Suresh - Applied Soft Computing, 2023 - Elsevier
The seamless integration of wireless and IoT device in normal day to day life and for smart
homes has enabled more security and privacy needs. The attack or unauthorized access to …

[HTML][HTML] Anomaly detection for space information networks: A survey of challenges, techniques, and future directions

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - Computers & …, 2024 - Elsevier
Abstract Space anomaly detection plays a critical role in safeguarding the integrity and
reliability of space systems amid the rising tide of threats. This survey aims to deepen …

A comprehensive and systematic literature review on the big data management techniques in the internet of things

A Naghib, N Jafari Navimipour, M Hosseinzadeh… - Wireless …, 2023 - Springer
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …