An improved PIO feature selection algorithm for IoT network intrusion detection system based on ensemble learning

OA Alghanam, W Almobaideen, M Saadeh… - Expert Systems with …, 2023 - Elsevier
With the rapid growth of the number of connected devices that exchange personal, sensitive,
and important data through the IoT based global network, attacks that are targeting security …

An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset

V Kumar, D Sinha, AK Das, SC Pandey, RT Goswami - Cluster Computing, 2020 - Springer
Intrusion detection system (IDS) has been developed to protect the resources in the network
from different types of threats. Existing IDS methods can be classified as either anomaly …

An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

Novel geometric area analysis technique for anomaly detection using trapezoidal area estimation on large-scale networks

N Moustafa, J Slay, G Creech - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
The prevalence of interconnected appliances and ubiquitous computing face serious threats
from the hostile activities of network attackers. Conventional Intrusion Detection Systems …

[HTML][HTML] A deep learning ensemble for network anomaly and cyber-attack detection

V Dutta, M Choraś, M Pawlicki, R Kozik - Sensors, 2020 - mdpi.com
Currently, expert systems and applied machine learning algorithms are widely used to
automate network intrusion detection. In critical infrastructure applications of communication …

[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets

E Gyamfi, A Jurcut - Sensors, 2022 - mdpi.com
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …

Intrusion detection system on IoT with 5G network using deep learning

N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …

Performance evaluation of intrusion detection based on machine learning using Apache Spark

M Belouch, S El Hadaj, M Idhammad - Procedia Computer Science, 2018 - Elsevier
Nowadays, network intrusion is considered as one of the major concerns in network
communications. Thus, the developed network intrusion detection systems aim to identify …

[HTML][HTML] A modified grey wolf optimization algorithm for an intrusion detection system

A Alzaqebah, I Aljarah, O Al-Kadi, R Damaševičius - Mathematics, 2022 - mdpi.com
Cyber-attacks and unauthorized application usage have increased due to the extensive use
of Internet services and applications over computer networks, posing a threat to the service's …

A reliable network intrusion detection approach using decision tree with enhanced data quality

A Guezzaz, S Benkirane, M Azrour… - Security and …, 2021 - Wiley Online Library
Due to the recent advancements in the Internet of things (IoT) and cloud computing
technologies and growing number of devices connected to the Internet, the security and …