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Smart Detection: An Online Approach for DoSDDoS Attack Detection Using Machine Learning
Joint Authors
Lima Filho, Francisco Sales de
Silveira, Frederico A. F.
de Medeiros Brito Junior, Agostinho
Vargas-Solar, Genoveva
Silveira, Luiz F. Q.
Source
Security and Communication Networks
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Users and Internet service providers (ISPs) are constantly affected by denial-of-service (DoS) attacks.
This cyber threat continues to grow even with the development of new protection technologies.
Developing mechanisms to detect this threat is a current challenge in network security.
This article presents a machine learning- (ML-) based DoS detection system.
The proposed approach makes inferences based on signatures previously extracted from samples of network traffic.
The experiments were performed using four modern benchmark datasets.
The results show an online detection rate (DR) of attacks above 96%, with high precision (PREC) and low false alarm rate (FAR) using a sampling rate (SR) of 20% of network traffic.
American Psychological Association (APA)
Lima Filho, Francisco Sales de& Silveira, Frederico A. F.& de Medeiros Brito Junior, Agostinho& Vargas-Solar, Genoveva& Silveira, Luiz F. Q.. 2019. Smart Detection: An Online Approach for DoSDDoS Attack Detection Using Machine Learning. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1210250
Modern Language Association (MLA)
Lima Filho, Francisco Sales de…[et al.]. Smart Detection: An Online Approach for DoSDDoS Attack Detection Using Machine Learning. Security and Communication Networks No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1210250
American Medical Association (AMA)
Lima Filho, Francisco Sales de& Silveira, Frederico A. F.& de Medeiros Brito Junior, Agostinho& Vargas-Solar, Genoveva& Silveira, Luiz F. Q.. Smart Detection: An Online Approach for DoSDDoS Attack Detection Using Machine Learning. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1210250
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210250