Deep learning approaches for detecting DDoS attacks: A systematic review
In today's world, technology has become an inevitable part of human life. In fact, during the
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …
Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
Machine learning techniques to detect a DDoS attack in SDN: A systematic review
TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …
identify and mitigate any type of threat or attack in any network infrastructure, such as a …
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 …
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity
The data is exposed to many attacks during communication in the network environment. It is
becoming increasingly essential to identify intrusions into network communications …
becoming increasingly essential to identify intrusions into network communications …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
Efficient intelligent intrusion detection system for heterogeneous internet of things (HetIoT)
Moving towards a more digital and intelligent world equipped with internet-of-thing (IoT)
devices creates many security issues. A distributed denial of service (DDoS) attack is one of …
devices creates many security issues. A distributed denial of service (DDoS) attack is one of …
RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …
securing transportation data. As the vehicular network is highly dynamic, the network …
Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network
Wireless sensor networks (WSNs) are increasingly being used for data monitoring and
collection purposes. Typically, they consist of a large number of sensor nodes that are used …
collection purposes. Typically, they consist of a large number of sensor nodes that are used …