[Retracted] Transfer Learning Auto‐Encoder Neural Networks for Anomaly Detection of DDoS Generating IoT Devices
U Shafiq, MK Shahzad, M Anwar… - Security and …, 2022 - Wiley Online Library
Machine Learning based anomaly detection ap‐proaches have long training and validation
cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis …
cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis …
[HTML][HTML] Low rate DDoS detection using weighted federated learning in SDN control plane in IoT network
The Internet of things (IoT) has opened new dimensions of novel services and computing
power for modern living standards by introducing innovative and smart solutions. Due to the …
power for modern living standards by introducing innovative and smart solutions. Due to the …
Machine learning techniques for network anomaly detection: A survey
S Eltanbouly, M Bashendy, N AlNaimi… - … on Informatics, IoT …, 2020 - ieeexplore.ieee.org
Nowadays, distributed data processing in cloud computing has gained increasing attention
from many researchers. The intense transfer of data has made the network an attractive and …
from many researchers. The intense transfer of data has made the network an attractive and …
An intrusion detection system against DDoS attacks in IoT networks
In this paper, we present an Intrusion Detection System (IDS) using the hybridization of the
deep learning technique and the multi-objective optimization method for the detection of …
deep learning technique and the multi-objective optimization method for the detection of …
Artificial Intelligence‐Based Security Protocols to Resist Attacks in Internet of Things
IoT (Internet of Things) usage in industrial and scientific domains is progressively increasing.
Currently, IoTs are utilized in numerous applications in different domains, similar to …
Currently, IoTs are utilized in numerous applications in different domains, similar to …
Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms
GEI Selim, EZZED Hemdan, AM Shehata… - Multimedia Tools and …, 2021 - Springer
Abstract Industrial Control System is used in the industrial process for reducing the human
factor burden and handling the complex industrial system process and communications …
factor burden and handling the complex industrial system process and communications …
[HTML][HTML] A hybrid methodology for anomaly detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Neurocomputing, 2024 - Elsevier
The rapid adoption of Industry 4.0 has seen Information Technology (IT) networks
increasingly merged with Operational Technology (OT) networks, which have traditionally …
increasingly merged with Operational Technology (OT) networks, which have traditionally …
Design of ensemble learning methods for DDoS detection in SDN environment
Software Defined Network (SDN) is a new approach to build architecture of computer
networks that is dynamic, adaptable, manageable and low cost. The SDN paradigm offers …
networks that is dynamic, adaptable, manageable and low cost. The SDN paradigm offers …
Anomaly based network intrusion detection for IoT attacks using deep learning technique
Abstract Internet of Things (IoT) applications are growing in popularity for being widely used
in many real-world services. In an IoT ecosystem, many devices are connected with each …
in many real-world services. In an IoT ecosystem, many devices are connected with each …
A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model
Abstract The Internet of Things (IoT) is adding the advancement in the technology for
creating smart environments to facilitate humans for various works. The technological …
creating smart environments to facilitate humans for various works. The technological …