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A survey of distributed denial-of-service attack, prevention, and mitigation techniques

open access: yesInternational Journal of Distributed Sensor Networks, 2017
Distributed denial-of-service is one kind of the most highlighted and most important attacks of today’s cyberworld. With simple but extremely powerful attack mechanisms, it introduces an immense threat to current Internet community.
Tasnuva Mahjabin   +3 more
doaj   +3 more sources

ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach

open access: yesInternational Journal of Intelligent Networks, 2023
Distributed Denial of Service (DDoS) attack is one of the most destructive internet network attacks, denying legitimate users access to resources and networks by maliciously blocking available computing resources. Intruders send a large number of packets
P. Krishna Kishore   +2 more
doaj   +3 more sources

Boğaziçi University distributed denial of service dataset

open access: yesData in Brief, 2020
Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks.
Derya Erhan, Emin Anarım
doaj   +4 more sources

Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm

open access: yesSensors, 2023
Internet security is a major concern these days due to the increasing demand for information technology (IT)-based platforms and cloud computing. With its expansion, the Internet has been facing various types of attacks.
Mahrukh Ramzan   +6 more
doaj   +3 more sources

On Distributed Denial of Service Current Defense Schemes

open access: yesTechnologies, 2019
Distributed denial of service (DDoS) attacks are a major threat to any network-based service provider. The ability of an attacker to harness the power of a lot of compromised devices to launch an attack makes it even more complex to handle.
Seth Djane Kotey   +2 more
doaj   +3 more sources

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

open access: yesInternational Journal of Distributed Sensor Networks, 2021
Vehicular Ad hoc NETwork is a promising technology providing important facilities for modern transportation systems. It has garnered much interest from researchers studying the mitigation of attacks including distributed denial of service attacks ...
Fahd A Alhaidari, Alia Mohammed Alrehan
doaj   +1 more source

DDoS: Distributed denial of service attack in communication standard vulnerabilities in smart grid applications and cyber security with recent developments

open access: yesEnergy Reports, 2023
Smart grid system is evident with control technologies and digital communications systems. The cyber–physical system is a critical infrastructure connected with complex drives and devices.
Mohammad Kamrul Hasan   +5 more
doaj   +1 more source

Detecting Denial of Service attacks using machine learning algorithms

open access: yesJournal of Big Data, 2022
Currently, Distributed Denial of Service Attacks are the most dangerous cyber danger. By inhibiting the server's ability to provide resources to genuine customers, the affected server's resources, such as bandwidth and buffer size, are slowed down.
Kimmi Kumari, M. Mrunalini
doaj   +1 more source

Gradient Techniques To Predict Distributed Denial-Of-Service Attack

open access: yesIraqi Journal for Computer Science and Mathematics, 2022
A distributed denial-of-service (DDoS) attack attempts to prevent people from accessing a server. A website may become inaccessible due to a DDoS attack because the server is inundated with fake requests and cannot handle real ones.
Roheen Qamar
doaj   +1 more source

Distributed Denial of Service Attack Detection by Expert Systems [PDF]

open access: yesمطالعات مدیریت کسب و کار هوشمند, 2016
The Denial of Service (DoS) attacks are the attacks that overload the system resources such as CPU, network bandwidth, memory and so on to prevent system to provide services any legitimate users.
Alireza Sadabadi   +1 more
doaj   +1 more source

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