An enhanced anomaly detection in web traffic using a stack of classifier ensemble
A Web attack protection system is extremely essential in today's information age. Classifier
ensembles have been considered for anomaly-based intrusion detection in Web traffic …
ensembles have been considered for anomaly-based intrusion detection in Web traffic …
Web traffic anomaly detection using C-LSTM neural networks
Web traffic refers to the amount of data that is sent and received by people visiting online
websites. Web traffic anomalies represent abnormal changes in time series traffic, and it is …
websites. Web traffic anomalies represent abnormal changes in time series traffic, and it is …
A novel web attack detection system for internet of things via ensemble classification
Internet of Things (IoT) has become one of the fastest-growing technologies and has been
broadly applied in various fields. IoT networks contain millions of devices with the capability …
broadly applied in various fields. IoT networks contain millions of devices with the capability …
AI-IDS: Application of deep learning to real-time Web intrusion detection
Deep Learning has been widely applied to problems in detecting various network attacks.
However, no cases on network security have shown applications of various deep learning …
However, no cases on network security have shown applications of various deep learning …
Anomaly-based web attack detection: a deep learning approach
J Liang, W Zhao, W Ye - Proceedings of the 2017 VI International …, 2017 - dl.acm.org
As the era of cloud technology arises, more and more people are beginning to migrate their
applications and personal data to the cloud. This makes web-based applications an …
applications and personal data to the cloud. This makes web-based applications an …
An anomaly detection method to detect web attacks using stacked auto-encoder
AM Vartouni, SS Kashi… - 2018 6th Iranian Joint …, 2018 - ieeexplore.ieee.org
Network borne attacks are currently major threats to information security. Enormous efforts
such as scanners, encryption devices, intrusion detection systems and firewalls have been …
such as scanners, encryption devices, intrusion detection systems and firewalls have been …
Leveraging deep neural networks for anomaly‐based web application firewall
A Moradi Vartouni, M Teshnehlab… - IET Information …, 2019 - Wiley Online Library
Web applications are the most common platforms for the exchange of information and
services on the Internet. With the launch of web 2.0, information has flourished through …
services on the Internet. With the launch of web 2.0, information has flourished through …
A novel architecture for web-based attack detection using convolutional neural network
A Tekerek - Computers & Security, 2021 - Elsevier
Unprotected Web applications are vulnerable places for hackers to attack an organization's
network. Statistics show that 42% of Web applications are exposed to threats and hackers …
network. Statistics show that 42% of Web applications are exposed to threats and hackers …
[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
Clustering enabled classification using ensemble feature selection for intrusion detection
Machine learning has been leveraged to increase the effectiveness of intrusion detection
systems (IDSs). The focus of this approach, however, has largely be on detecting known …
systems (IDSs). The focus of this approach, however, has largely be on detecting known …