# Development of DDoS Attack Detection Approach in Software Defined Network Using Support Vector Machine Classifier

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-ddos-attack-detection-approach-in-software-defined-network-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adeniji Oluwashola David,Deji Babatunde Adekeye,Sunday Adeola Ajagbe,Ademola Olusola Adesina,Yetunde J. Oguns,Matthew Abiola Oladipupo |
| Citations | 14 |
| DOI | 10.1007/978-981-19-2840-6_25 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4294067846 |
| Type | book-chapter |
| Year | 2022 |

## Paper authors

- [Matthew Abiola Oladipupo](https://scholariq.org/researchers/matthew-abiola-oladipupo/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Software-Defined Networks and 5G](https://scholariq.org/topics/software-defined-networks-and-5g/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.