Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
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 …
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 …
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 …
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …
Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification
Software-defined networking (SDN) has significantly transformed the field of network
management through the consolidation of control and provision of enhanced adaptability …
management through the consolidation of control and provision of enhanced adaptability …
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 …
flooding. Despite their smart applications, MANET faces more security issues than traditional …
A novel mechanism for misbehavior detection in vehicular networks
Intelligent Transport Systems (ITS) have provided new technologies to protect human life,
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …
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
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 …
learning. SVM uses kernel tricks to efficiently learn non-linear classification tasks. The kernel …
A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network
Abstract Software Defined Networking (SDN) is a paradigm shift in the network industry with
decoupling of control and data plane. This helps network engineers to control and manage …
decoupling of control and data plane. This helps network engineers to control and manage …
[HTML][HTML] Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey
The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …
the computational power required for artificial intelligence (AI), hindering its practical …
Leveraging blockchain and machine learning to counter DDoS attacks over IoT network
The paper presents an approach for detecting Distributed Denial of Service (DDoS) attacks
using machine learning and blockchain technology. With the increasing complexity and …
using machine learning and blockchain technology. With the increasing complexity and …