Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
" Guidelines" for collaborative learning in 21st century education at Madrasah Tsanawiyah
In the 21st century, as globalization expands, education must be able to defend its culture
and civilization against foreign culture and comprehension. As a multicultural nation whose …
and civilization against foreign culture and comprehension. As a multicultural nation whose …
Federated deep learning for zero-day botnet attack detection in IoT-edge devices
Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
An improved deep reinforcement learning routing technique for collision-free VANET
P Upadhyay, V Marriboina, SJ Goyal, S Kumar… - Scientific Reports, 2023 - nature.com
Abstract Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …
Novel graph-based machine learning technique to secure smart vehicles in intelligent transportation systems
BB Gupta, A Gaurav, EC Marín… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Intelligent Transport Systems (ITS) is a developing technology that will significantly alter the
driving experience. In such systems, smart vehicles and Road-Side Units (RSUs) …
driving experience. In such systems, smart vehicles and Road-Side Units (RSUs) …
Federated intrusion detection in blockchain-based smart transportation systems
M Abdel-Basset, N Moustafa, H Hawash… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the integration of the Internet of Things (IoT) in the field of transportation, the Internet of
Vehicles (IoV) turned to be a vital method for designing Smart Transportation Systems (STS) …
Vehicles (IoV) turned to be a vital method for designing Smart Transportation Systems (STS) …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …