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220864

Detection of Application layer DDoS Attacks Based on Bayesian Classifier

Article

Last updated: 05 Jan 2025

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Tags

Mathematics and Computer Science

Abstract

One of the major challenges in networks security is detecting network attacks. The HTTP flooding attack is the most common type of DDoS attacks that targets application layer. The malicious DDoS packets are encapsulated with the huge amount of normal traffic, so this type of attack is considered the hardest one for detection. The available detection techniques for the HTTP flooding attack usually used similarity methods for traffic attributes or machine learning algorithms but these techniques are not effective especially for large scale networks. In this paper, a new detection technique is presented based on conditional probability and Bayes' theorem. First the probability value for every normal traffic attribute is calculated. Then, we compute the conditional probability for the same attribute in any incoming connection given the occurrence of the same value in the previous normal traffic. Finally, the total probability is calculated by using the Bayes' theorem to classify it either as normal or abnormal connection. The performance of the proposed technique is evaluated by extensive simulation in terms of its detection rate, probability of false positive and false negative.

DOI

10.21608/aunj.2019.220864

Keywords

intrusion detection systems, DDoS attacks, HTTP Flooding Attack, Bayes’ theorem

Volume

48

Article Issue

1

Related Issue

31480

Issue Date

2019-06-01

Receive Date

2022-02-21

Publish Date

2019-06-01

Page Start

1

Page End

13

Print ISSN

2812-5029

Online ISSN

2812-5037

Article File

AUNJ_Volume 48_Issue 1_Pages 1-13.pdf

PDF . 892.0kB

Link

https://aunj.journals.ekb.eg/article_220864.html

Detail API

https://aunj.journals.ekb.eg/service?article_code=220864

Order

220,864

Type

Novel Research Articles

Type Code

2,242

Publication Type

Journal

Publication Title

Assiut University Journal of Multidisciplinary Scientific Research

Publication Link

https://aunj.journals.ekb.eg/

MainTitle

Detection of Application layer DDoS Attacks Based on Bayesian Classifier

Details

Type

Article

Created At

23 Jan 2023