[HTML][HTML] A survey on intrusion detection system in IoT networks
M Rahman, S Al Shakil, MR Mustakim - Cyber Security and Applications, 2024 - Elsevier
Abstract As the Internet of Things (IoT) expands, the security of IoT networks has becoming
more critical. Intrusion Detection Systems (IDS) are essential for protecting these networks …
more critical. Intrusion Detection Systems (IDS) are essential for protecting these networks …
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …
security challenge. Existing detection systems are continually outmaneuvered by the …
[HTML][HTML] Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm
The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …
the network and take some predefined action for safe data transit across the network, is …
Explainable AI-based innovative hybrid ensemble model for intrusion detection
Cybersecurity threats have become more worldly, demanding advanced detection
mechanisms with the exponential growth in digital data and network services. Intrusion …
mechanisms with the exponential growth in digital data and network services. Intrusion …
Advancements in intrusion detection: A lightweight hybrid RNN-RF model
Computer networks face vulnerability to numerous attacks, which pose significant threats to
our data security and the freedom of communication. This paper introduces a novel intrusion …
our data security and the freedom of communication. This paper introduces a novel intrusion …
[HTML][HTML] An explainable AI-based blood cell classification using optimized convolutional neural network
White blood cells (WBCs) are a vital component of the immune system. The efficient and
precise classification of WBCs is crucial for medical professionals to diagnose diseases …
precise classification of WBCs is crucial for medical professionals to diagnose diseases …
[HTML][HTML] Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers
The growing digital transformation has increased the need for effective intrusion detection
systems. Traditional intrusion detection systems face challenges in accurately classifying …
systems. Traditional intrusion detection systems face challenges in accurately classifying …
Exploring the ALNS method for improved cybersecurity: A deep learning approach for attack detection in IoT and IIoT environments
With the emergence of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT),
the flow of data across the world is experiencing a rapid expansion. Unfortunately, this …
the flow of data across the world is experiencing a rapid expansion. Unfortunately, this …
From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding
In the wake of the expanding digital realm, the imperative for robust cybersecurity measures
has burgeoned significantly. This extensive investigation digs into the complicated realm of …
has burgeoned significantly. This extensive investigation digs into the complicated realm of …
Machine learning-based intrusion detection for rare-class network attacks
Y Yang, Y Gu, Y Yan - Electronics, 2023 - mdpi.com
Due to the severe imbalance in the quantities of normal samples and attack samples, as well
as among different types of attack samples, intrusion detection systems suffer from low …
as among different types of attack samples, intrusion detection systems suffer from low …