The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Intelligent Model for DDoS Attack Detection and Flash Event Management
|
|
Author(s): Oreoluwa Carolyn Tinubu (Federal University of Agriculture, Abeokuta. Nigeria), Adesina Simon Sodiya (Federal University of Agriculture, Abeokuta, Nigeria), Olusegun Ayodeji Ojesanmi (Federal University of Agriculture, Abeokuta, Nigeria), Emmanuel Oyeyemi Adeleke (Federal University of Agriculture, Abeokuta, Nigeria)and Ahmad Alfawwaz Timehin (Federal University of Agriculture, Abeokuta, Nigeria)
Copyright: 2022
Volume: 14
Issue: 1
Pages: 15
Source title:
International Journal of Distributed Artificial Intelligence (IJDAI)
Editor(s)-in-Chief: Firas Abdulrazzaq Raheem (University of Technology - Iraq, Iraq)and Israa AbdulAmeer AbdulJabbar (University of Technology - Iraq, Iraq)
DOI: 10.4018/IJDAI.301212
Purchase
|
Abstract
Distributed Denial of Service (DDoS) attacks are the foremost security concerns on the Internet. DDoS attacks and a similar occurrence called Flash Event (FE) signify anomalies in the normal network traffic, requiring intelligent interventions. This study presents the design and implementation of an intelligent model for the detection of application-layer DDoS attacks and the prevention of service degradations during FE. A Multi-Layer Perceptron (MLP) classifier was used for detecting DDoS attacks on application servers. The FE management system consists of asynchronous processing of requests on a First-In, First-Out (FIFO) basis. A demo application was set up wherein HTTP flood attack was launched and a Flash Event was simulated. The experimental results clearly show that the MLP classifier in comparison with other machine learning classifiers performs best in terms of speed and accuracy. Also, the evaluation of the FE management system shows a great reduction in service degradation. This reflects that the designed model is capable of averting service unavailability on the web.
Related Content
|
Digvijay Pandey, Subodh Wairya.
© 2022.
11 pages.
|
|
Mohamed Merabet, Ali Kourtiche.
© 2022.
18 pages.
|
|
Upendra Kumar, Pawan Kumar Tiwari, Tejasvi Mishra, Lalita Jaiswar, Safiya Ali.
© 2022.
16 pages.
|
|
Stephen Opoku Oppong, Benjamin Ghansah, Evans Baidoo, Wilson Osafo Apeanti, Daniel Danso Essel.
© 2022.
26 pages.
|
|
Binay Kumar Pandey, Digvijay Pandey, Ashi Agarwal.
© 2022.
14 pages.
|
|
Oreoluwa Carolyn Tinubu, Adesina Simon Sodiya, Olusegun Ayodeji Ojesanmi, Emmanuel Oyeyemi Adeleke, Ahmad Alfawwaz Timehin.
© 2022.
15 pages.
|
|
Ishak H. A Meddah, Fatiha Guerroudji, Nour Elhouda Remil.
© 2022.
18 pages.
|
|
|