Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods
E Owusu, M Rahouti… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose
significant threats to networked systems, causing disruptions that can lead to substantial …
significant threats to networked systems, causing disruptions that can lead to substantial …
DDOS detection using machine learning technique
Numerous attacks are performed on network infrastructures. These include attacks on
network availability, confidentiality and integrity. Distributed denial-of-service (DDoS) attack …
network availability, confidentiality and integrity. Distributed denial-of-service (DDoS) attack …
The hybrid technique for DDoS detection with supervised learning algorithms
S Hosseini, M Azizi - Computer Networks, 2019 - Elsevier
Distributed denial of service (DDoS) is still one of the main threats of the online services.
Attackers are able to run DDoS with simple steps and high efficiency in order to prevent or …
Attackers are able to run DDoS with simple steps and high efficiency in order to prevent or …
Feature selection and comparison of classification algorithms for wireless sensor networks
Wireless sensor networks (WSNs) are develo** at an incredible pace because of their
cost-effective solutions for applications like military and medical. WSN consists of a large …
cost-effective solutions for applications like military and medical. WSN consists of a large …
Hybrid random forest and synthetic minority over sampling technique for detecting internet of things attacks
In recent decades, the internet of things (IoT) is a growing technology in smart applications,
where it is highly susceptible to security breaches, due to the resource constrained nature of …
where it is highly susceptible to security breaches, due to the resource constrained nature of …
[HTML][HTML] DoS attack detection using online learning techniques in wireless sensor networks
Wireless sensor network (WSN) models pose substantial security vulnerabilities since most
WSNs are deployed in unattended hostile environments. This research focuses on denial-of …
WSNs are deployed in unattended hostile environments. This research focuses on denial-of …
[PDF][PDF] Computational intelligent techniques to detect ddos attacks: a survey
I Sood, V Sharma - Journal of Cybersecurity, 2021 - cdn.techscience.cn
The Internet is often targeted by the Distributed Denial of Service (DDOS) Attacks that
deliberately utilize resources and bandwidth to prohibit access to potential users. The attack …
deliberately utilize resources and bandwidth to prohibit access to potential users. The attack …
Performance evaluation of Convolutional Neural Network for web security
Due to the daily use of web applications in several critical domains such as banking and
online shop**, cybersecurity has become a challenge. Recently, deep learning …
online shop**, cybersecurity has become a challenge. Recently, deep learning …
A multi-classifier for ddos attacks using stacking ensemble deep neural network
DDoS (Distributed Denial of Service) attacks have emerged as a serious menace to the
security and integrity of data and information systems. The primary aim of this attack is to …
security and integrity of data and information systems. The primary aim of this attack is to …
Poly logarithmic naive Bayes intrusion detection system using linear stable PCA feature extraction
S Singh - Wireless Personal Communications, 2022 - Springer
Software defined network is smart and centralized architecture which increases the network
performance and it is efficiently programmed to support different framework of big data and …
performance and it is efficiently programmed to support different framework of big data and …