Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey

S Zaman, K Alhazmi, MA Aseeri, MR Ahmed… - Ieee …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …

[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets

A Nazir, J He, N Zhu, A Wajahat, X Ma, F Ullah… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …

Semi-supervised learning based distributed attack detection framework for IoT

S Rathore, JH Park - Applied Soft Computing, 2018 - Elsevier
Alongside the development of Internet of Things (IoT), security attacks are also increasing
day by day. A number of centralized attack detection mechanisms have been proposed to …

Wireless sensor networks intrusion detection based on SMOTE and the random forest algorithm

X Tan, S Su, Z Huang, X Guo, Z Zuo, X Sun, L Li - Sensors, 2019 - mdpi.com
With the wide application of wireless sensor networks in military and environmental
monitoring, security issues have become increasingly prominent. Data exchanged over …

Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Localization and detection of multiple attacks in wireless sensor networks using artificial neural network

GG Gebremariam, J Panda… - … and Mobile Computing, 2023 - Wiley Online Library
Security enhancement in wireless sensor networks (WSNs) is significant in different
applications. The advancement of routing attack localization is a crucial security research …

Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks

GG Gebremariam, J Panda, S Indu - Connection Science, 2023 - Taylor & Francis
Wireless sensor networks (WSNs) are an emerging military and civilian technology that uses
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …

[PDF][PDF] A multi-layer machine learning-based intrusion detection system for wireless sensor networks

NM Alruhaily, DM Ibrahim - International Journal of Advanced …, 2021 - academia.edu
With the increase relay on the internet, and the shift of most business to provide remote
services, the burdens of protecting the network and detecting any attack quickly become …

IoT security vulnerabilities and defensive measures in Industry 4.0

K Manasa, LMI Leo Joseph - Artificial Intelligence and Cyber Security in …, 2023 - Springer
Abstract The Internet of things (IoT) has been emerging technology for the past decade. IoT
can be defined as the network connecting objects to the Internet in the physical world. IoT …

Novel fuzzy based crow search optimization algorithm for secure node-to-node data transmission in WSN

SG Qureshi, SK Shandilya - Wireless personal communications, 2022 - Springer
Various sensor nodes are interconnected with each other in wireless sensor network (WSN).
WSN communicates to every node within the network wirelessly to collect data regarding the …