A holistic review of network anomaly detection systems: A comprehensive survey
N Moustafa, J Hu, J Slay - Journal of Network and Computer Applications, 2019 - Elsevier
Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …
most network defense systems for detecting and preventing potential threats. The paper …
TSE-IDS: A two-stage classifier ensemble for intelligent anomaly-based intrusion detection system
Intrusion detection systems (IDSs) play a pivotal role in computer security by discovering
and repealing malicious activities in computer networks. Anomaly-based IDS, in particular …
and repealing malicious activities in computer networks. Anomaly-based IDS, in particular …
Survey on SDN based network intrusion detection system using machine learning approaches
N Sultana, N Chilamkurti, W Peng… - Peer-to-Peer Networking …, 2019 - Springer
Abstract Software Defined Networking Technology (SDN) provides a prospect to effectively
detect and monitor network security problems ascribing to the emergence of the …
detect and monitor network security problems ascribing to the emergence of the …
A novel two-stage deep learning model for efficient network intrusion detection
The network intrusion detection system is an important tool for protecting computer networks
against threats and malicious attacks. Many techniques have recently been proposed; …
against threats and malicious attacks. Many techniques have recently been proposed; …
Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning
I Alrashdi, A Alqazzaz, E Aloufi… - 2019 IEEE 9th …, 2019 - ieeexplore.ieee.org
In recent years, the wide adoption of the modern Internet of Things (IoT) paradigm has led to
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
Anomaly detection techniques using deep learning in IoT: a survey
IoT technologies is improving life quality by enhancing several real-life smart applications.
IoT includes large number of devices generating huge amount of data which needs large …
IoT includes large number of devices generating huge amount of data which needs large …
[HTML][HTML] Improving the classification effectiveness of intrusion detection by using improved conditional variational autoencoder and deep neural network
Y Yang, K Zheng, C Wu, Y Yang - Sensors, 2019 - mdpi.com
Intrusion detection systems play an important role in preventing security threats and
protecting networks from attacks. However, with the emergence of unknown attacks and …
protecting networks from attacks. However, with the emergence of unknown attacks and …
Intrusion detection using big data and deep learning techniques
In this paper, Big Data and Deep Learning Techniques are integrated to improve the
performance of intrusion detection systems. Three classifiers are used to classify network …
performance of intrusion detection systems. Three classifiers are used to classify network …
Deep learning-based intrusion detection for IoT networks
Internet of Things (IoT) has an immense potential for a plethora of applications ranging from
healthcare automation to defence networks and the power grid. The security of an IoT …
healthcare automation to defence networks and the power grid. The security of an IoT …
[HTML][HTML] Building an effective intrusion detection system using the modified density peak clustering algorithm and deep belief networks
Y Yang, K Zheng, C Wu, X Niu, Y Yang - Applied Sciences, 2019 - mdpi.com
Featured Application The model proposed in this paper can be deployed to the enterprise
gateway, dynamically monitor network activities, and connect with the firewall to protect the …
gateway, dynamically monitor network activities, and connect with the firewall to protect the …