Development of a mathematical model of the control beginning of DDoS-attacks and malicious traffic

KY Nikolskaya, SA Ivanov, VA Golodov… - 2017 International …, 2017 - ieeexplore.ieee.org
A technique and algorithms for early detection of the started attack and subsequent blocking
of malicious traffic are proposed. The primary separation of mixed traffic into trustworthy and …

Artificial neuron network implementation in detection and classification of DDoS traffic

D Peraković, M Periša, I Cvitić… - 2016 24th …, 2016 - ieeexplore.ieee.org
Detection of DDoS (Distributed Denial of Service) traffic is of great importance for the
availability protection of services and other information and communication resources. The …

Detection and analysis types of DDoS attack

E Navruzov, A Kabulov - 2022 IEEE International IOT …, 2022 - ieeexplore.ieee.org
The problem of detecting types of DDOS attacks in large-scale networks is considered. The
complexity of detection is explained by the presence of a large number of connected and …

Detecting DDoS attacks using the analysis of network traffic as dynamical system

AE Krasnov, DN Nikol'Skii, DS Repin… - 2018 International …, 2018 - ieeexplore.ieee.org
This paper presents a new algorithm for DDoS attacks detection based on analysis of
network traffic as a dynamical system. We applied author's approach that enables to …

[PDF][PDF] Detection of slow DDoS attacks based on user's behavior forecasting

V Savchenko, O Ilin, N Hnidenko… - … Journal of Emerging …, 2020 - researchgate.net
The article deals with a problem of detecting low and slow distributed denial of service
(DDoS) attacks. It is widely known that the detection of slow DDoS attacks differs significantly …

Review of modern DDoS-attacks, methods and means of counteraction

KY Nikolskaya, SA Ivanov, VA Golodov… - 2017 International …, 2017 - ieeexplore.ieee.org
The current state of the problem of distributed attacks aimed at denial of service is
investigated, the last DDoS attacks are monitored. The most popular type of DDoS attacks …

Using Hybrid Neural Networks to Detect DDOS Attacks

O Belej, L Halkiv - 2020 IEEE Third International Conference on …, 2020 - ieeexplore.ieee.org
The results of the development of a denial of service network attack detection method for
various services of storing, processing, and transmitting data on the Internet are presented …

Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms

V de Miranda Rios, PRM Inácio, D Magoni… - Computer Networks, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …

Alleviation of DDoS attack using advance technique

VV Mahale, NP Pareek… - … Conference on Innovative …, 2017 - ieeexplore.ieee.org
The extraordinary emergence and attainment of Internet has changed the way traditional
essential services such as transportation, banking, education and defense are operated …

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 …