DDoS attacks in Industrial IoT: A survey
S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …
LightFIDS: Lightweight and Hierarchical Federated IDS for Massive IoT in 6G Network
A Alotaibi, A Barnawi - Arabian Journal for Science and Engineering, 2024 - Springer
IoT traffic on access networks is expected to increase significantly with the advent of 6G-
enabled massive IoT networks. Nevertheless, current intrusion detection system (IDS) …
enabled massive IoT networks. Nevertheless, current intrusion detection system (IDS) …
Federated Deep Learning for Intrusion Detection in Consumer-Centric Internet of Things
Consumer-centric Internet of Things (CIoT) will play a pivotal role in the fifth industrial
revolution (Industry 5.0) but it exhibits vulnerabilities that can render it susceptible to various …
revolution (Industry 5.0) but it exhibits vulnerabilities that can render it susceptible to various …
A Survey on AI-Empowered Softwarized Industrial IoT Networks
The future generation of mobile networks envision Artificial Intelligence (AI) and the Internet
of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated …
of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated …
Edge-Federated Learning based Intelligent Intrusion Detection System for Heterogeneous Internet of Things
SS Mahadik, PM Pawar, R Muthalagu - IEEE Access, 2024 - ieeexplore.ieee.org
Distributed denial of service (DDoS) is an awful cyber threat, becoming more prevalent with
mature heterogeneous IoT (HetIoT) applications like intelligent agriculture, wearables, and …
mature heterogeneous IoT (HetIoT) applications like intelligent agriculture, wearables, and …
Flb2: Layer 2 blockchain implementation scheme on federated learning technique
The usage of the federated learning (FL) concept in the artificial intelligence (AI) field has
increased. The main concept of FL is to tackle the centralized-based approach, which …
increased. The main concept of FL is to tackle the centralized-based approach, which …
Regularized Hybrid Deep Learning for DDoS Attack Prediction in Software Defined Internet of Things (SD-IoT)
The availability of online resource is seriously threatened by the fatal DDoS (Distributed
Denial of Service) attacks, which can earnestly break up a targeted network or website by …
Denial of Service) attacks, which can earnestly break up a targeted network or website by …
Distributed Network Traffic Classification Based on Heterogeneous Federated Ensemble
Q Deng, N Liao - Available at SSRN 4820781 - papers.ssrn.com
In order to meet the challenges of traffic analysis in distributed network environment and
improve data utilization efficiency while protecting user privacy, this study innovatively …
improve data utilization efficiency while protecting user privacy, this study innovatively …
[PDF][PDF] PE Header-Based Multinomial Malware Classification Using ML for Computing Systems
Malware is an envelope of various malicious software or programs which hackers use to
harm and attack computer systems. Malware detection is the procedure of identifying the …
harm and attack computer systems. Malware detection is the procedure of identifying the …
[PDF][PDF] UAV-Based B5G Networks: Blockchain and Federated Learning Technology
Recently Unmanned aerial vehicles (UAVs), or drones, have recently drawn greater scrutiny
as a result of their expanding applications in surveillance, logistics, monitoring, and …
as a result of their expanding applications in surveillance, logistics, monitoring, and …