DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
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 …
A comprehensive survey on DDoS attacks on various intelligent systems and it's defense techniques
A Gaurav, BB Gupta, W Alhalabi… - … Journal of Intelligent …, 2022 - Wiley Online Library
The purpose of this study is to provide an overview of distributed denial of service (DDoS)
attack detection in intelligent systems. In recent times, due to the endemic COVID‐19, the …
attack detection in intelligent systems. In recent times, due to the endemic COVID‐19, the …
Comparative study of AI-enabled DDoS detection technologies in SDN
Software-defined networking (SDN) is becoming the standard for the management of
networks due to its scalability and flexibility to program the network. SDN provides many …
networks due to its scalability and flexibility to program the network. SDN provides many …
Using machine learning and software-defined networking to detect and mitigate DDoS attacks in fiber-optic networks
Fiber optic networks (FONs) are considered the backbone of telecom companies worldwide.
However, the network elements of FONs are scattered over a wide area and managed …
However, the network elements of FONs are scattered over a wide area and managed …
A comprehensive analysis of machine learning-and deep learning-based solutions for DDoS attack detection in SDN
Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …
efficiency compared to traditional networks. These are owing to the SDN's mutual …
Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI and MTD Approaches to Security Solutions
Software-Defined Networking (SDN) is a groundbreaking technology that has transformed
network management significantly. By integrating data and control, SDN offers unparalleled …
network management significantly. By integrating data and control, SDN offers unparalleled …
[HTML][HTML] Deep learning-based approach for detecting DDoS attack on software-defined networking controller
A Mansoor, M Anbar, AA Bahashwan, BA Alabsi… - Systems, 2023 - mdpi.com
The rapid growth of cloud computing has led to the development of the Software-Defined
Network (SDN), which is a network strategy that offers dynamic management and improved …
Network (SDN), which is a network strategy that offers dynamic management and improved …
RADS: a real-time anomaly detection model for software-defined networks using machine learning
M Sneha, AK Kumar, NV Hegde, AS Anish… - International Journal of …, 2023 - Springer
Software-defined networks (SDN) are no more a new technology as many industries are
adopting it in a hybrid or full stack mode. SDN has already proved its technological …
adopting it in a hybrid or full stack mode. SDN has already proved its technological …
XGBoost Classifier for DDOS Attack Detection in Software Defined Network Using sFlow Protocol.
NF Rozam, M Riasetiawan - International Journal on …, 2023 - search.ebscohost.com
From a security perspective, Software Defined Network (SDN) separates security concerns
into Control Plane and Data Plane. The Control Plane is responsible for managing the entire …
into Control Plane and Data Plane. The Control Plane is responsible for managing the entire …