Open AccessDETECTION AND MITIGATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS ON NETWORK ARCHITECTURE SOFTWARE DEFINED NETWORKING USING THE NAIVE BAYES ALGORITHM
Author(s) -
M.S. Munir,
Ipung Ardiansyah,
Joko Santoso,
Ali Mustopa,
Sri Mulyatun
Publication year - 2022
Publication title -
journal of information system management
Language(s) - English
Resource type - Journals
ISSN - 2715-3088
DOI - 10.24076/joism.2022v3i2.656
Subject(s) - denial of service attack , computer science , application layer ddos attack , software defined networking , forwarding plane , computer network , network packet , trinoo , network administrator , network architecture , network security , software , computer security , the internet , operating system
DDoS attacks are a form of attack carried out by sending packets continuously to machines and even computer networks. This attack will result in a machine or network resources that cannot be accessed or used by users. DDoS attacks usually originate from several machines operated by users or by bots, whereas Dos attacks are carried out by one person or one system. In this study, the term to be used is the term DDoS to represent a DoS or DDoS attack. In the network world, Software Defined Network (SDN) is a promising paradigm. SDN separates the control plane from forwarding plane to improve network programmability and network management. As part of the network, SDN is not spared from DDoS attacks. In this study, we use the naïve Bayes algorithm as a method to detect DDoS attacks on the Software Defined Network network architecture