Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
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 …
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection
Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …
Furthermore, these traditional IDS face several common challenges, such as processing …
A novel ensemble learning-based model for network intrusion detection
The growth of Internet and the services provided by it has been growing exponentially in the
past few decades. With such growth, there is also an ever-increasing threat to the security of …
past few decades. With such growth, there is also an ever-increasing threat to the security of …
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection
Abstract The aim of Vehicular Ad Hoc Networks (VANETs) is to provide drivers and
passengers with various applications and services for comfortable transportation by …
passengers with various applications and services for comfortable transportation by …
IDERES: Intrusion detection and response system using machine learning and attack graphs
JR Rose, M Swann, KP Grammatikakis, I Koufos… - Journal of Systems …, 2022 - Elsevier
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …
ranging from improved efficiency to higher productivity. However, the limited resources and …
Machine Learning in Metaverse Security: Current Solutions and Future Challenges
The Metaverse, positioned as the next frontier of the Internet, has the ambition to forge a
virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self …
virtual shared realm characterized by immersion, hyper-spatiotemporal dynamics, and self …
Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques--A Comprehensive Survey
At present, the Internet is facing numerous attacks of different kinds that put its data at risk.
The safety of information within the network is, therefore, a significant concern. To prevent …
The safety of information within the network is, therefore, a significant concern. To prevent …
SD-IIDS: intelligent intrusion detection system for software-defined networks
Abstract Software-Defined Networking (SDN) is susceptible to security threats despite all the
network programmability and flexibility offered, and hence SDN must be safeguarded. This …
network programmability and flexibility offered, and hence SDN must be safeguarded. This …
Intrusion detection using network traffic profiling and machine learning for IoT
JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …
ranging from improved efficiency to higher productivity. However, the limited resources and …