A survey of CNN-based network intrusion detection
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …
used. This has increased the need for Internet networks to be secured. Intrusion detection …
An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
Efficient classification of enciphered SCADA network traffic in smart factory using decision tree algorithm
Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …
Deep learning model transposition for network intrusion detection systems
Companies seek to promote a swift digitalization of their business processes and new
disruptive features to gain an advantage over their competitors. This often results in a wider …
disruptive features to gain an advantage over their competitors. This often results in a wider …
Secure network intrusion detection system using NID-RNN based Deep Learning
Towards Secure network intrusion detection system (NIDS) is an important protection
appliance in cyber security. Traditional methods that employ machine learning techniques …
appliance in cyber security. Traditional methods that employ machine learning techniques …
Perceptions of Faculty Members on Using Moodle as a Learning Management System in Distance Education.
AM Alomari - International Journal of Technology in Education and …, 2024 - ERIC
In order to understand how faculty members, feel about using Moodle as a learning
management system (LMS) tool for teaching and learning in Jordanian universities, a mixed …
management system (LMS) tool for teaching and learning in Jordanian universities, a mixed …
Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme
The domain name system (DNS) has evolved into an essential component of network
communications, as well as a critical component of critical industrial systems (CIS) and …
communications, as well as a critical component of critical industrial systems (CIS) and …
[HTML][HTML] Enhancing intrusion detection systems with dimensionality reduction and multi-stacking ensemble techniques
The deployment of intrusion detection systems (IDSs) is essential for protecting network
resources and infrastructure against malicious threats. Despite the wide use of various …
resources and infrastructure against malicious threats. Despite the wide use of various …
Towards lightweight intrusion identification in sdn-based industrial cyber-physical systems
Software-defined networks (SDN)-based industrial cyber-physical systems (CPS) enable
customizing development opportunities with integrated network interconnection to perform …
customizing development opportunities with integrated network interconnection to perform …
HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection
W Wei, S Chen, C Chen, H Wang, J Liu… - Science China …, 2024 - Springer
With the rapid development of network technology and the automation process for 5G, cyber-
attacks have become increasingly complex and threatening. In response to these threats …
attacks have become increasingly complex and threatening. In response to these threats …