Application layer DDoS attack detection using cluster with label based on sparse vector decomposition and rhythm matching-Reference-Cited by-同舟云学术

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Application layer DDoS attack detection using cluster with label based on sparse vector decomposition and rhythm matching

Published:2015-03-13 Issue:17 Volume:8 Page:3111-3120
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Liao Qin¹,Li Hong¹,Kang Songlin¹,Liu Chuchu¹

Affiliation:

1. School of Information Science and Engineering; Central South University; Changsha 410012 Hunan China

Funder

National Natural Science Foundation

the construct program of the key discipline in Hunan province

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference20 articles.

1. Distributed denial of service attack detection using an ensemble of neural classifier;Kumar;Computer Communications,2011

2. Detection of malicious and non-malicious website visitors using unsupervised neural network learning;Stevanovic;Applied Soft Computing,2013

3. An in-depth analysis on traffic flooding attacks detection and system using data mining techniques;Yu;Journal of Systems Architecture,2013

4. Flow level detection and filtering of low-rate DDoS;Zhang;Computer Networks,2012

5. Inside the slammer worm;Moore;IEEE Security & Privacy,2003

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1. Enhancing Detection and Prediction of DDoS Attacks Through Regression Modeling;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

2. Improving Quality of Service and HTTPS DDoS Detection in MEC Environment With a Cyber Deception-Based Architecture;IEEE Access;2024

3. BDDoS: Blocking Distributed Denial of Service Flooding Attacks With Dynamic Path Detectors;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

4. DDoS Attack Detection Using Artificial Neural Network on IoT Devices in a Simulated Environment;Lecture Notes in Electrical Engineering;2023

5. Identifying DDoS Attack using Split-Machine Learning System in 5G and Beyond Networks;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

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