Host-based IDS: A review and open issues of an anomaly detection system in IoT

I Martins, JS Resende, PR Sousa, S Silva… - Future Generation …, 2022 - Elsevier
Abstract The Internet of Things (IoT) envisions a smart environment powered by connectivity
and heterogeneity where ensuring reliable services and communications across multiple …

[HTML][HTML] A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2023 - Elsevier
Technology is pivotal in the rapid growth of services and intensifying the quality of life.
Recent technology, like the Internet of Things (IoT), demonstrates an impressive …

Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …

Realguard: A lightweight network intrusion detection system for IoT gateways

XH Nguyen, XD Nguyen, HH Huynh, KH Le - Sensors, 2022 - mdpi.com
Cyber security has become increasingly challenging due to the proliferation of the Internet of
things (IoT), where a massive number of tiny, smart devices push trillion bytes of data to the …

A novel attack detection scheme for the industrial internet of things using a lightweight random neural network

S Latif, Z Zou, Z Idrees, J Ahmad - IEEE access, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …

A comprehensive systematic literature review on intrusion detection systems

M Ozkan-Okay, R Samet, Ö Aslan, D Gupta - IEEE Access, 2021 - ieeexplore.ieee.org
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …

A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms

RV Mendonça, JC Silva, RL Rosa, M Saadi… - Expert …, 2022 - Wiley Online Library
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …

A survey on intrusion detection systems for fog and cloud computing

V Chang, L Golightly, P Modesti, QA Xu, LMT Doan… - Future Internet, 2022 - mdpi.com
The rapid advancement of internet technologies has dramatically increased the number of
connected devices. This has created a huge attack surface that requires the deployment of …

[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 …

Intrusion detection in iot using deep learning

AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …