Feature engineering and model optimization based classification method for network intrusion detection

Y Zhang, Z Wang - Applied Sciences, 2023 - mdpi.com
In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled
with their intricate and surreptitious nature, has significantly imperiled network security …

A two-layer fog-cloud intrusion detection model for IoT networks

S Roy, J Li, Y Bai - Internet of Things, 2022 - Elsevier
Abstract The Internet of Things (IoT) and its applications are becoming ubiquitous in our life.
However, the open deployment environment and the limited resources of IoT devices make …

Enhancing network intrusion detection using an ensemble voting classifier for internet of things

AH Farooqi, S Akhtar, H Rahman, T Sadiq, W Abbass - Sensors, 2023 - mdpi.com
In the context of 6G technology, the Internet of Everything aims to create a vast network that
connects both humans and devices across multiple dimensions. The integration of smart …

Forecasting and meta-features estimation of wastewater and climate change impacts in coastal region using manifold learning

EB Priyanka, S Vivek, S Thangavel… - Environmental …, 2024 - Elsevier
South Asia's coastlines are the most densely inhabited and economically active ecosystems
have already begun to shift due to climate change. Over the past century, climate change …

Online intrusion detection for internet of things systems with full bayesian possibilistic clustering and ensembled fuzzy classifiers

FQ Li, RJ Zhao, SL Wang, LB Chen… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The pervasive deployment of the Internet of Things (IoT) has significantly facilitated
manufacturing and living. The diversity and continual updates of IoT systems make their …

An ensemble learning based IDS using Voting rule: VEL-IDS

S Emanet, GK Baydogmus, O Demir - PeerJ Computer Science, 2023 - peerj.com
Intrusion detection systems (IDSs) analyze internet activities and traffic to detect potential
attacks, thereby safeguarding computer systems. In this study, researchers focused on …

Intrusion detection method based on denoising diffusion probabilistic models for uav networks

Y Wang, J Ding, X He, Q Wei, S Yuan… - Mobile Networks and …, 2023 - Springer
Security is important for UAV networks because of the need for a cyber-secure flying air
space for UAV group communication to complete the complex tasks cooperatively. Network …

COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification

LE Hogeweg, R Gangireddy… - Proceedings of the …, 2024 - openaccess.thecvf.com
High-performing out-of-distribution (OOD) detection both anomaly and novel class is an
important prerequisite for the practical use of classification models. In this paper we focus on …

Early detection of dyslexia based on EEG with novel predictor extraction and selection

S Parmar, C Paunwala - Discover Artificial Intelligence, 2023 - Springer
Dyslexia is a learning disorder caused by difficulties in the brain's processing of letters and
words. This study used EEG recordings to detect dyslexia at a young age. EEG recordings of …

[PDF][PDF] Fusion of Feature Ranking Methods for an Effective Intrusion Detection System.

SB Mallampati, S Hari - Computers, Materials & Continua, 2023 - pdfs.semanticscholar.org
Expanding internet-connected services has increased cyberattacks, many of which have
grave and disastrous repercussions. An Intrusion Detection System (IDS) plays an essential …