Detection of DDoS attacks using supervised learning technique

MA Prriyadarshini, SR Devi - Journal of Physics: Conference …, 2020 - iopscience.iop.org
The development in digital technologies has been amplified by the drastic growth in the field
of digital media applications and it changes the entire life style of the people. The electronic …

DDOS Attack Detection with Machine Learning: A Systematic Mapping of Literature

S Singh, M Gupta, DK Sharma - 2023 5th International …, 2023 - ieeexplore.ieee.org
This is an era where at every stretch a person is becoming susceptible to a cyber attack To
avoid these cyber attacks or prevent people from becoming a victim of malicious attacks …

A DDoS attack detection method based on machine learning

J Pei, Y Chen, W Ji - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Distributed denial-of-service attack, also known as DDoS attack, is one of the most common
network attacks at present. With the rapid development of computer and communication …

[PDF][PDF] Review on detection of DDOS attack using machine learning

T Ulemale - Int J Res Appl Sci Eng Technol, 2022 - academia.edu
Now days due to digitalization the drastic increment towards Computer technology and
Computer network is increased rapidly. Various types of works are turned into Online Mode …

A study for DDOS attack classification method

A Sanmorino - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
In this study, we discussed three DDoS attack classification methods based on machine
learning. The comparison is done to measure the accuracy rate of each machine learning …

A review on detection of DDOS attack using machine learning and deep learning techniques

SD Pande, A Khamparia - Think India Journal, 2019 - thinkindiaquarterly.org
One of the most serious threat to network security is Denial of service (DOS) attacks. When
this attack is performed in distributed manner it can create more disaster. Lot of research has …

Distributed denial of service attacks detection system by machine learning based on dimensionality reduction

SA Abbas, MS Almhanna - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Data mining algorithms have essential methods and rules that can contribute in detecting
and preventing various types of network attacks. These methods are utilized with the …

An advanced approach for detection of distributed denial of service (DDoS) attacks using machine learning techniques

G Sujatha, Y Kanchhal, G George - 2022 3rd International …, 2022 - ieeexplore.ieee.org
One of the most hazardous attacks in network security is the Distributed Denial of Service
(DDoS) attack. DDoS is endangering the internet because it halts the functionality of vital …

[PDF][PDF] DDOS attack detection in telecommunication network using machine learning

S Smys - Journal of Ubiquitous Computing and Communication …, 2019 - researchgate.net
The telecommunication network that is the assemblage of the terminal nodes enables the
whole to be connected. The swift progress in the telecommunication networks and the …

Detecting DDoS attack: a machine-learning-based approach

G Megala, S Prabu… - Applications of Artificial …, 2021 - igi-global.com
The major network security problems faced by many internet users is the DDoS (distributed
denial of service) attack. This attack makes the service inaccessible by exhausting the …