Anomaly and intrusion detection using deep learning for software-defined networks: A survey
Abstract Software-Defined Networks (SDN) represent an adaptable paradigm for dealing
with network users' dynamic demands. Confidentiality, integrity, and availability are …
with network users' dynamic demands. Confidentiality, integrity, and availability are …
Machine learning-based anomaly detection in NFV: A comprehensive survey
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …
virtualization of traditional network hardware components, offering benefits such as cost …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
The fast growth of Internet of Things (IoT) gadgets and 5G networks has increased linkage
and accessibility. However, growing interconnectivity poses new threat levels in these …
and accessibility. However, growing interconnectivity poses new threat levels in these …
Real-time clustering based on deep embeddings for threat detection in 6G networks
Trials and deployments of sixth Generation (6G) wireless networks, delivering extreme
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
iDetector: A Novel Real-Time Intrusion Detection Solution for IoT Networks
X Kong, Y Zhou, Y **ao, X Ye, H Qi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The rapid proliferation of Internet of Things (IoT) devices has brought about unprecedented
convenience to people's daily lives. However, this growth has also created opportunities for …
convenience to people's daily lives. However, this growth has also created opportunities for …
Evaluating federated learning based intrusion detection scheme for next generation networks
The proliferation of billions of heterogeneous Internet of Things (IoT) devices at a rapid pace
has resulted in a marked expansion of attack surfaces. Numerous new attacks are constantly …
has resulted in a marked expansion of attack surfaces. Numerous new attacks are constantly …
A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder
Z Zhao, H Guo, Y Wang - Scientific Reports, 2024 - nature.com
Network traffic anomaly detection, as an effective analysis method for network security, can
identify differentiated traffic information and provide secure operation in complex and …
identify differentiated traffic information and provide secure operation in complex and …
Dimensionality reduction for images of IoT using machine learning
I Ali, K Wassif, H Bayomi - Scientific Reports, 2024 - nature.com
Sensors, wearables, mobile devices, and other Internet of Things (IoT) devices are
becoming increasingly integrated into all aspects of our lives. They are capable of gathering …
becoming increasingly integrated into all aspects of our lives. They are capable of gathering …
5G core network control plane: Network security challenges and solution requirements
The control plane of the 5G Core Network (5GCN) is essential for ensuring reliable and high-
performance 5G communication. It provides critical network services such as authentication …
performance 5G communication. It provides critical network services such as authentication …