machine learning and deep learning techniques for distributed denial of service anomaly detection in software defined networks—current research solutions
This state-of-the-art review comprehensively examines the landscape of Distributed Denial
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens …
DDOS attack detection in SDN: Method of attacks, detection techniques, challenges and research gaps
The aim of a Software Defined Network is to provide flexibility and programmability towards
ensuring network manageability and centralized control to deal with the growing users of …
ensuring network manageability and centralized control to deal with the growing users of …
A novel DDoS detection and mitigation technique using hybrid machine learning model and redirect illegitimate traffic in SDN network
Abstract Software Defined Networking (SDN) is a paradigm shift in the network industry with
decoupling of control and data plane. This helps network engineers to control and manage …
decoupling of control and data plane. This helps network engineers to control and manage …
Real-time anomaly detection of network traffic based on CNN
H Liu, H Wang - Symmetry, 2023 - mdpi.com
Network traffic anomaly detection mainly detects and analyzes abnormal traffic by extracting
the statistical features of network traffic. It is necessary to fully understand the concept of …
the statistical features of network traffic. It is necessary to fully understand the concept of …
A comprehensive review on Software-Defined Networking (SDN) and DDoS attacks: Ecosystem, taxonomy, traffic engineering, challenges and research directions
Software Defined network (SDN) represents a sophisticated networking approach that
separates the control logic from the data plane. This separation results in a loosely coupled …
separates the control logic from the data plane. This separation results in a loosely coupled …
[HTML][HTML] Intelligent SDN to enhance security in IoT networks
S Ibrahim, AM Youssef, M Shoman, S Taha - Egyptian Informatics Journal, 2024 - Elsevier
Software-defined networking (SDN) is a revolutionary technology that has revolutionised
network management by providing flexibility and adaptability. As the popularity of SDN …
network management by providing flexibility and adaptability. As the popularity of SDN …
Detection of HTTP DDoS Attacks Using NFStream and TensorFlow
This paper focuses on the implementation of nfstream, an open source network data
analysis tool and machine learning model using the TensorFlow library for HTTP attack …
analysis tool and machine learning model using the TensorFlow library for HTTP attack …
Trends, prospects, challenges, and security in the healthcare internet of things
Abstract The Healthcare Internet of Things (H-IoT) is a rapidly develo** problem solving
model with significant potential to improve patient care and healthcare outcomes. This study …
model with significant potential to improve patient care and healthcare outcomes. This study …
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing
P Khordadpour, S Ahmadi - arxiv preprint arxiv:2403.01356, 2024 - arxiv.org
The integration of blockchain technology in Internet of Things (IoT) environments is a
revolutionary step towards ensuring robust security and enhanced privacy. This paper …
revolutionary step towards ensuring robust security and enhanced privacy. This paper …
A Systematic Literature Review on Cyber Attack Detection in Software-Define Networking (SDN)
The increasing complexity and sophistication of cyberattacks pose significant challenges to
traditional network security tools. Software-defined networking (SDN) has emerged as a …
traditional network security tools. Software-defined networking (SDN) has emerged as a …