DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy
Distributed denial of service (DDoS) attacks represent a significant cybersecurity challenge,
posing a critical risk to computer networks. Develo** an effective defense mechanism …
posing a critical risk to computer networks. Develo** an effective defense mechanism …
A hybrid machine learning approach for detecting unprecedented DDoS attacks
Abstract Service availability plays a vital role on computer networks, against which
Distributed Denial of Service (DDoS) attacks are an increasingly growing threat each year …
Distributed Denial of Service (DDoS) attacks are an increasingly growing threat each year …
DDoS attack detection and classification via Convolutional Neural Network (CNN)
AR Shaaban, E Abd-Elwanis… - 2019 Ninth International …, 2019 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks became the most widely spread attack because
it is easily designed and executed but it is very difficult to detect and mitigate. Several …
it is easily designed and executed but it is very difficult to detect and mitigate. Several …
Detection of DDoS attacks using machine learning classification algorithms
The Internet is the most essential tool for communication in today's world. As a result, cyber-
attacks are growing more often, and the severity of the consequences has risen as well …
attacks are growing more often, and the severity of the consequences has risen as well …
A hybrid approach for detection of ddos attacks using entropy and machine learning in software defined networks
Software-defined networking is one of the fast-growing and emerging technology which
separates the control plane from the data plane. The control plane enables global network …
separates the control plane from the data plane. The control plane enables global network …
[PDF][PDF] DDoS attack detection: Strategies, techniques, and future directions
S Shivaji - J. Electrical Systems, 2024 - researchgate.net
Distributed Denial of Service (DDoS) attacks represent one of the most significant threats to
network security, capable of causing widespread disruption to digital infrastructures. The …
network security, capable of causing widespread disruption to digital infrastructures. The …
A Review of Defense against Distributed DoS attack based on Artificial Intelligence Approaches
Modern society is heavily reliant on information and communication technologies, which has
made it more vulnerable to a wide range of cyber-attacks in recent decades. A Distributed …
made it more vulnerable to a wide range of cyber-attacks in recent decades. A Distributed …
DDoS Attack Detection Using Predictive Machine Learning (ML) Algorithms in Wireless Body Area Network Environments
Wireless body area networks (WBANs) are one of the key technologies that support the
development of pervasive health monitoring (remote patient monitoring systems), which has …
development of pervasive health monitoring (remote patient monitoring systems), which has …
DDoS Detection using Machine Learning Approach
RP Janivasya, IDA Rachmawati - Procedia Computer Science, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks pose a significant threat to online
services by flooding targets with unusually high volumes of traffic or data, disrupting services …
services by flooding targets with unusually high volumes of traffic or data, disrupting services …
Comparative Study between Texture Feature and Local Feature Descriptors for Silk Fabric Pattern Image Recognition
Thai silk fabrics have unique patterns in different regions of Thailand. The designers may
have been inspired and took ideas from the natural environment to create new silk patterns …
have been inspired and took ideas from the natural environment to create new silk patterns …