A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system

S Siva Shankar, BT Hung, P Chakrabarti… - Education and …, 2024 - Springer
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of
study. However, due to their few resources and varied makeup, they are more vulnerable to …

Hybrid VGG19 and 2D-CNN for intrusion detection in the FOG-cloud environment

A Binbusayyis - Expert Systems with Applications, 2024 - Elsevier
Fog computing (FC) extends cloud technology by providing services, storage, and network
interaction between data centers and end devices. By putting storage and processing closer …

HDA-IDS: A Hybrid DoS Attacks Intrusion Detection System for IoT by using semi-supervised CL-GAN

S Li, Y Cao, S Liu, Y Lai, Y Zhu, N Ahmad - Expert Systems with …, 2024 - Elsevier
In recent years, the application of the internet of things (IoT) in areas such as intelligent
transportation, smart cities, and the industrial internet has become increasingly widespread …

Prospective study on challenges faced in a perception system

R LR, SJ Bhat, S KV - Cogent Engineering, 2024 - Taylor & Francis
Abstract Intelligent Transportation Systems (ITS) are gaining momentum due to the
advantages it possesses in congestion-free traffic, reduced probability of accidents, and …

Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis

L Yang, M El Rajab, A Shami… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Zero-Touch Networks (ZTNs) represent a state-of-the-art paradigm shift towards fully
automated and intelligent network management, enabling the automation and intelligence …

[HTML][HTML] APFed: Adaptive personalized federated learning for intrusion detection in maritime meteorological sensor networks

X Su, G Zhang - Digital Communications and Networks, 2024 - Elsevier
With the rapid development of advanced networking and computing technologies such as
the Internet of Things, network function virtualization, and 5G infrastructure, new …

Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV

A Boualouache… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a crucial technology for Intelligent Transportation Systems
(ITS) that integrates vehicles with the Internet and other entities. The emergence of 5 G and …

Zero-touch networks: Towards next-generation network automation

M El Rajab, L Yang, A Shami - Computer Networks, 2024 - Elsevier
The Zero-touch network and Service Management (ZSM) framework represents an
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …

A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization

Y Wang, G Qin, M Zou, Y Liang, G Wang… - Multimedia Tools and …, 2024 - Springer
With the rapid development of Internet of Vehicles (IoV) technology, Intelligent Connected
Vehicles (ICVs) have richer vehicle information functions and applications. In recent years …

[HTML][HTML] CICIoV2024: Advancing realistic IDS approaches against DoS and spoofing attack in IoV CAN bus

ECP Neto, H Taslimasa, S Dadkhah, S Iqbal, P Xiong… - Internet of Things, 2024 - Elsevier
Considering the complexity of network traffic in IoV operations, methods that can identify
complex patterns become useful. Machine learning fosters several techniques to enhance …