Ai enabled threat detection: Leveraging artificial intelligence for advanced security and cyber threat mitigation
D Kavitha, S Thejas - IEEE Access, 2024 - ieeexplore.ieee.org
This comprehensive review examines the role of artificial intelligence (AI) in enhancing
threat detection and cybersecurity, focusing on recent advancements and ongoing …
threat detection and cybersecurity, focusing on recent advancements and ongoing …
Enabling lightweight federated learning in nextg wireless networks
NextG wireless will heavily rely on Federated Learning (FL) applications to learn context-
aware AI solutions from the massive amount of generated data. Ensuring the reliability of …
aware AI solutions from the massive amount of generated data. Ensuring the reliability of …
[PDF][PDF] Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems
In today's digital landscape, critical services are increasingly dependent on network
connectivity, thus cybersecurity has become paramount. Indeed, the constant escalation of …
connectivity, thus cybersecurity has become paramount. Indeed, the constant escalation of …
Development of an Artificial Vision for a Parallel Manipulator Using Machine-to-Machine Technologies
A Nussibaliyeva, G Sergazin, G Tursunbayeva… - Sensors, 2024 - mdpi.com
This research focuses on develo** an artificial vision system for a flexible delta robot
manipulator and integrating it with machine-to-machine (M2M) communication to optimize …
manipulator and integrating it with machine-to-machine (M2M) communication to optimize …
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
The advent of 6G/NextG networks comes along with a series of benefits, including extreme
capacity, reliability, and efficiency. However, these networks may become vulnerable to new …
capacity, reliability, and efficiency. However, these networks may become vulnerable to new …
Robust and Lightweight Modeling of IoT Network Behaviors From Raw Traffic Packets
Machine Learning (ML)-based techniques are increasingly used for network management
tasks, such as intrusion detection, application identification, or asset management. Recent …
tasks, such as intrusion detection, application identification, or asset management. Recent …
Efficient Distributed Learning Over Lossy Wireless Networks
In the context of NextG Wireless Networks, addressing the challenges of wireless
communication link reliability is paramount to ensure efficient Distributed Learning systems …
communication link reliability is paramount to ensure efficient Distributed Learning systems …
Multidimensional analysis of 5G antenna with coaxial cables and circular slots using computational resources and polynomial analysis
FC Andrade, GFB Muniz, AKDC Brandão… - Journal of Microwaves …, 2024 - SciELO Brasil
The study proposes a multidimensional mathematical modeling of antennas using coaxial
cables for 5G, with emphasis on the relationship between cable length, frequency, and …
cables for 5G, with emphasis on the relationship between cable length, frequency, and …
Research on intelligent perception of computer vision environment for autonomous driving in complex environment based on cloud computing and improved Bayesian …
W Xu - … Conference on Electronic Information Engineering and …, 2024 - spiedigitallibrary.org
In the field of autonomous driving, vision-based environmental perception methods usually
use monocular or multi-ocular cameras to capture images, and use computer vision …
use monocular or multi-ocular cameras to capture images, and use computer vision …