Open AccessDistributed Denial of Service Attack Alleviated and Detected by Using Mininet and Software Defined Network
Author(s) -
Abdulrahman Khalid Abdullah Al-Mashadani,
Muhammad Ilyas
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19272
Subject(s) - denial of service attack , openflow , computer science , software defined networking , application layer ddos attack , computer security , computer network , network security , network architecture , trinoo , single point of failure , the internet , operating system
The network security and how to keep it safe from malicious attacks now days is attract huge interest of the developers and cyber security experts (SDN) Software- Defined Network is simple framework for network that allow programmability and monitoring that enable the operators to manage the entire network in a consistent and comprehensive manner also used to detect and alleviate the DDoS attacks the SDN now is the trending of network security evolution there many threats that faces the networks one of them is the distributed Denial of Service (DDoS) because of the architecture weakness in traditional network SDN use new architecture and the point of power in it is the separation of control and data plane the DDoS attack prevent the users from access into resource of the network or make huge delays in the network this paper shows the impact of DDoS attacks on SDN, and how to use SDN applications written in Python and by using OpenFlow protocol to automatically detect and resist attacks with average time to response to the attack between 95-145 second.