Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
[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 …
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system
This work proposes an end-to-end model for network attack detection and network attack
classification using deep learning-based recurrent models. The proposed model extracts the …
classification using deep learning-based recurrent models. The proposed model extracts the …
SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
NM Yungaicela-Naula, C Vargas-Rosales… - IEEE …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
[HTML][HTML] Machine-learning-based DDoS attack detection using mutual information and random forest feature importance method
Cloud computing facilitates the users with on-demand services over the Internet. The
services are accessible from anywhere at any time. Despite the valuable services, the …
services are accessible from anywhere at any time. Despite the valuable services, the …
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 …
Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework
M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …
manifesting miraculous effectuation to revolutionize conventional means of network …
[HTML][HTML] A hybrid deep learning-driven SDN enabled mechanism for secure communication in Internet of Things (IoT)
D Javeed, T Gao, MT Khan, I Ahmad - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) has emerged as a new technological world connecting billions of
devices. Despite providing several benefits, the heterogeneous nature and the extensive …
devices. Despite providing several benefits, the heterogeneous nature and the extensive …
A survey of the main security issues and solutions for the SDN architecture
MB Jimenez, D Fernandez, JE Rivadeneira… - IEEE …, 2021 - ieeexplore.ieee.org
The software-defined networking (SDN) paradigm proposes the decoupling of control and
data planes and a centralized software-oriented management approach based on a central …
data planes and a centralized software-oriented management approach based on a central …
An SDN-based intrusion detection system using SVM with selective logging for IP traceback
In this paper we introduce a Software Defined Networking (SDN) based Intrusion Detection
System (IDS) using the Support Vector Machines (SVM) along with Selective Logging for IP …
System (IDS) using the Support Vector Machines (SVM) along with Selective Logging for IP …