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 …
Mitigating data imbalance to improve the generalizability in IoT DDoS detection tasks
Y Qing, X Liu, Y Du - The Journal of Supercomputing, 2024 - Springer
DDoS attacks launched by IoT botnets can be classified into low-rate and high-rate DDoS
attacks, which depict two distinct scenarios of data imbalance, namely, the minimal and …
attacks, which depict two distinct scenarios of data imbalance, namely, the minimal and …
[HTML][HTML] Network intrusion detection leveraging multimodal features
Abstract Network Intrusion Detection Systems (NIDSes) are essential for safeguarding
critical information systems. However, the lack of adaptability of Machine Learning (ML) …
critical information systems. However, the lack of adaptability of Machine Learning (ML) …
Improving Generalization of ML-based IDS with Lifecycle-based Dataset, Auto-Learning Features, and Deep Learning
During the past 10 years, researchers have extensively explored the use of machine
learning (ML) in enhancing network intrusion detection systems (IDS). While many studies …
learning (ML) in enhancing network intrusion detection systems (IDS). While many studies …
Quality Analysis in IDS Dataset: Impact on Model Generalization
Intrusion Detection Systems (IDS) utilizing machine learning (ML) are essential for detecting
network intrusions. A key challenge in ML-based IDS is ensuring models can generalize …
network intrusions. A key challenge in ML-based IDS is ensuring models can generalize …
Federated Learning-based Architecture for Detecting Position Spoofing in Basic Safety Messages
Nowadays, the growth of privacy concerns imposes new requirements on security
mechanisms deployed on autonomous vehicles. Assessing users' misbehavior in …
mechanisms deployed on autonomous vehicles. Assessing users' misbehavior in …