Real-time DDoS attack detection system using big data approach
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …
A comprehensive survey of DDoS defense solutions in SDN: Taxonomy, research challenges, and future directions
The recent emergence of technologies such as Network Functions Virtualization (NFV),
Intent based Networking, Internet of Things (IoT), 5G, and Cloud Computing have led to the …
Intent based Networking, Internet of Things (IoT), 5G, and Cloud Computing have led to the …
[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 …
A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns
MS El Sayed, NA Le-Khac, MA Azer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …
centralised network management. The SDN enables the network operators to manage the …
[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 optimized weighted voting based ensemble model for DDoS attack detection and mitigation in SDN environment
A Maheshwari, B Mehraj, MS Khan, MS Idrisi - Microprocessors and …, 2022 - Elsevier
In recent years, software defined networking (SDN) has risen to prominence as a cutting-
edge and promising networking approach. SDN is more secure and immune to DDoS …
edge and promising networking approach. SDN is more secure and immune to DDoS …
Denial of service attack classification using machine learning with multi-features
The exploitation of internet networks through denial of services (DoS) attacks has
experienced a continuous surge over the past few years. Despite the development of …
experienced a continuous surge over the past few years. Despite the development of …
Artificial Intelligence Algorithms for Detecting and Classifying MQTT Protocol Internet of Things Attacks
A Alzahrani, THH Aldhyani - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) grew in popularity in recent years, becoming a crucial
component of industrial, residential, and telecommunication applications, among others …
component of industrial, residential, and telecommunication applications, among others …
[PDF][PDF] Analysis of machine learning based ddos attack detection techniques in software defined network
A Gaurav, V Arya, D Santaniello - Cyber Security Insights …, 2022 - insights2techinfo.com
ABSTRACT Software Deffned Network (SDN) is a novel way of network management. In
SDN, control plane and data plane are separated and the incoming traffic is controlled by …
SDN, control plane and data plane are separated and the incoming traffic is controlled by …
Ascertain the efficient machine learning approach to detect different ARP attacks
Abstract Software-Defined Networking (SDN) is a programmable network architecture that
allows network devices to be controlled remotely, but it is still highly susceptible to traditional …
allows network devices to be controlled remotely, but it is still highly susceptible to traditional …