Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review

CI Nwakanma, LAC Ahakonye, JN Njoku… - Applied Sciences, 2023 - mdpi.com
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …

[HTML][HTML] Air Quality Index prediction using machine learning for Ahmedabad city

NN Maltare, S Vahora - Digital Chemical Engineering, 2023 - Elsevier
Prediction of air pollution index may help in traffic routing and identifying serious pollutants.
Modeling of the complex relationships between these variables by sophisticated methods in …

A DDoS Detection Method Based on Feature Engineering and Machine Learning in Software-Defined Networks

Z Liu, Y Wang, F Feng, Y Liu, Z Li, Y Shan - Sensors, 2023 - mdpi.com
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …

DIWGAN optimized with Namib Beetle Optimization Algorithm for intrusion detection in mobile ad hoc networks

B Krishnasamy, L Muthaiah… - IETE Journal of …, 2023 - Taylor & Francis
Mobile ad hoc network (MANET) plays a major role in wireless devices such as defense and
flooding. Despite their smart applications, MANET faces more security issues than traditional …

A Novel Mechanism for Misbehaviour Detection in Vehicular Networks

EP Valentini, GP Rocha Filho, RE De Grande… - IEEE …, 2023 - ieeexplore.ieee.org
Intelligent Transport Systems (ITS) have provided new technologies to protect human life,
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …

ASVMK: A novel SVMs Kernel based on Apollonius function and density peak clustering

S Pourbahrami, MA Balafar, LM Khanli - Engineering Applications of …, 2023 - Elsevier
Abstract Support Vector Machine (SVM) is one of the successful methods of machine
learning. SVM uses kernel tricks to efficiently learn non-linear classification tasks. The kernel …

Modified Equilibrium Optimization Algorithm With Deep Learning-Based DDoS Attack Classification in 5G Networks

M Aljebreen, FS Alrayes, M Maray, SS Aljameel… - IEEE …, 2023 - ieeexplore.ieee.org
5G networks offer high-speed, low-latency communication for various applications. As 5G
networks introduce new capabilities and support a wide range of services, they also become …

Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning

H Saberi, M Karimian, E Esmaeilnezhad - Engineering Applications of …, 2024 - Elsevier
The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

Intrusion detection of manifold regularized broad learning system based on LU decomposition

Y Liu, K Zhang, Z Wang - The Journal of Supercomputing, 2023 - Springer
Abstract Broad Learning System (BLS) is proposed as an alternative to deep learning. It has
a fast adaptive model selection and online incremental learning capability, which has been …

Unravelling the effects of dynamic urban thermal environment on utility-scale floating photovoltaic electricity generation

Z Huang, R Zhu, L You - Sustainable Cities and Society, 2023 - Elsevier
The utility-scale photovoltaic systems have been widely integrated for sustainable urban
development. However, the varying photovoltaic conversion efficiency (PVCE) affected by …