[HTML][HTML] A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques--A Comprehensive Survey
At present, the Internet is facing numerous attacks of different kinds that put its data at risk.
The safety of information within the network is, therefore, a significant concern. To prevent …
The safety of information within the network is, therefore, a significant concern. To prevent …
A space-embedding strategy for anomaly detection in multivariate time series
Anomaly detection of time series has always been a hot topic in academia and industry.
However, many existing multivariant time series methods suffer from common challenges …
However, many existing multivariant time series methods suffer from common challenges …
Anomaly detection based on CNN and regularization techniques against zero-day attacks in IoT networks
The fast expansion of the Internet of Things (IoT) in the technology and communication
industries necessitates a continuously updated cyber-security mechanism to keep protecting …
industries necessitates a continuously updated cyber-security mechanism to keep protecting …
[HTML][HTML] Malicious traffic detection in multi-environment networks using novel S-DATE and PSO-D-SEM approaches
The rapid advancement of network architectures, protocols, and tools poses significant
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
challenges to network security, especially due to the use of AI-based tools by cybercriminals …
A hybrid ensemble machine learning model for detecting APT attacks based on network behavior anomaly detection
N Saini, V Bhat Kasaragod… - Concurrency and …, 2023 - Wiley Online Library
A persistent, targeted cyber attack is called an advanced persistent threat (APT) attack. The
attack is mainly launched to gain sensitive information, take over the system, and for …
attack is mainly launched to gain sensitive information, take over the system, and for …
[HTML][HTML] Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework
With the advent of internet and communication system, a huge number of opportunities have
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
CNN-BiLSTM: A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software Defined Networking with Hybrid Feature Selection.
A Software-Defined Network (SDN) was designed to simplify network management by
allowing the control and management of the entire network from a single place. SDN is …
allowing the control and management of the entire network from a single place. SDN is …
Process-Oriented heterogeneous graph learning in GNN-Based ICS anomalous pattern recognition
L Shuaiyi, K Wang, L Zhang, B Wang - Pattern Recognition, 2023 - Elsevier
Over the past few years, massive penetrations targeting an Industrial Control System (ICS)
network intend to compromise its core industrial processes. So far, numerous advanced …
network intend to compromise its core industrial processes. So far, numerous advanced …
Real-time malicious traffic detection with online isolation forest over sd-wan
P Zhang, F He, H Zhang, J Hu, X Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Software Defined Network (SDN) has been widely used in modern network architecture. The
SD-WAN is considered as a technology that has a potential to revolutionize the WAN service …
SD-WAN is considered as a technology that has a potential to revolutionize the WAN service …