Internet of Things intrusion detection systems: a comprehensive review and future directions

A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …

A systematic literature review for network intrusion detection system (IDS)

OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

A Rahman, K Hasan, D Kundu, MJ Islam… - Future Generation …, 2023 - Elsevier
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

Fed-anids: Federated learning for anomaly-based network intrusion detection systems

MJ Idrissi, H Alami, A El Mahdaouy, A El Mekki… - Expert Systems with …, 2023 - Elsevier
As computer networks and interconnected systems continue to gain widespread adoption,
ensuring cybersecurity has become a prominent concern for organizations, regardless of …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0

O Chakir, A Rehaimi, Y Sadqi, M Krichen… - Journal of King Saud …, 2023 - Elsevier
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …

A multimodal hybrid parallel network intrusion detection model

S Shi, D Han, M Cui - Connection Science, 2023 - Taylor & Francis
With the rapid growth of Internet data traffic, the means of malicious attack become more
diversified. The single modal intrusion detection model cannot fully exploit the rich feature …

Stochastic gradient descent classifier-based lightweight intrusion detection systems using the efficient feature subsets of datasets

J Azimjonov, T Kim - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) has become an essential part of our daily lives.
However, with the increasing use of IoT, the number of botnet attacks targeting resource …

MalBoT-DRL: Malware botnet detection using deep reinforcement learning in IoT networks

M Al-Fawa'reh, J Abu-Khalaf… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …