[HTML][HTML] Focal Causal Temporal Convolutional Neural Networks: Advancing IIoT Security with Efficient Detection of Rare Cyber-Attacks
The Industrial Internet of Things (IIoT) deals with vast amounts of data that must be
safeguarded against tampering or theft. Identifying rare attacks and addressing data …
safeguarded against tampering or theft. Identifying rare attacks and addressing data …
A comprehensive survey on intrusion detection algorithms
Y Li, Z Li, M Li - Computers and Electrical Engineering, 2025 - Elsevier
Although there are many reviews on Intrusion Detection Systems (IDS), the basic parts of
Intrusion Detection Algorithms (IDA), such as imbalanced datasets, feature engineering, and …
Intrusion Detection Algorithms (IDA), such as imbalanced datasets, feature engineering, and …
[PDF][PDF] Critical Review of Stack Ensemble Classifier for the Prediction of Young Adults' Voting Patterns Based on Parents' Political Affiliations.
G Elo, B Ghansah, E Kwaa-Aidoo - Informing Sci. Int. J. an Emerg …, 2024 - inform.nu
ABSTRACT Aim/Purpose This review paper aims to unveil some underlying machine-
learning classification algorithms used for political election predictions and how stack …
learning classification algorithms used for political election predictions and how stack …
APSO-CNN-SE: An Adaptive Convolutional Neural Network Approach for IoT Intrusion Detection.
Y Ban, D Zhang, Q He, Q Shen - Computers, Materials & …, 2024 - search.ebscohost.com
The surge in connected devices and massive data aggregation has expanded the scale of
the Internet of Things (IoT) networks. The proliferation of unknown attacks and related risks …
the Internet of Things (IoT) networks. The proliferation of unknown attacks and related risks …
A Comparison of Enhanced Ensemble Learning Techniques for Internet of Things Network Attack Detection
Over the past few decades, the Internet of Things (IoT) has become increasingly significant
due to its capacity to enable low-cost device and sensor communication. Implementation …
due to its capacity to enable low-cost device and sensor communication. Implementation …
Consensus hybrid ensemble machine learning for intrusion detection with explainable AI
U Ahmed, Z Jiangbin, S Khan, MT Sadiq - Journal of Network and …, 2025 - Elsevier
Intrusion detection systems (IDSs) are dynamic to cybersecurity because they protect
computer networks from malicious activity. IDS can benefit from machine learning; however …
computer networks from malicious activity. IDS can benefit from machine learning; however …
A method of classifying IoT devices based on attack sensitivity
H Wang, D Guo, J Wei, J Li - Journal of Information Security and …, 2024 - Elsevier
The emergence of IoT has introduced new security concerns, particularly the detection of
large-scale network attacks initiated by compromised IoT devices. The diverse nature of IoT …
large-scale network attacks initiated by compromised IoT devices. The diverse nature of IoT …
[HTML][HTML] Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling …
H Kamal, M Mashaly - Future Internet, 2024 - mdpi.com
Network and cloud environments must be fortified against a dynamic array of threats, and
intrusion detection systems (IDSs) are critical tools for identifying and thwarting hostile …
intrusion detection systems (IDSs) are critical tools for identifying and thwarting hostile …
Anomaly detection in IOT edge computing using deep learning and instance-level horizontal reduction
N Abbasi, M Soltanaghaei… - The Journal of …, 2024 - Springer
The increasing number of network attacks has led to the development of intrusion detection
systems. However, these methods often face limitations such as high traffic flow data …
systems. However, these methods often face limitations such as high traffic flow data …
Cancer data analysis using competitive ensemble machine learning techniques
VD Prabha, R Rathipriya, JM Chatterjee - Health and Technology, 2024 - Springer
Purpose Cancer stands as a formidable adversary on the global stage, claiming a significant
number of lives each year. Yet, amidst this sobering reality, the importance of early detection …
number of lives each year. Yet, amidst this sobering reality, the importance of early detection …