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All Journal JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM)
Misbachul Munir
Universitas Amikom Yogyakarta
Computer Science & IT

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DETECTION AND MITIGATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS ON NETWORK ARCHITECTURE SOFTWARE DEFINED NETWORKING USING THE NAIVE BAYES ALGORITHM Misbachul Munir; Ipung Ardiansyah; Joko Dwi Santoso; Ali Mustopa; Sri Mulyatun
Journal of Information System Management (JOISM) Vol. 3 No. 2 (2022): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.302 KB) | DOI: 10.24076/joism.2022v3i2.656

Abstract

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
Co-Authors Akrom, Akrom Ipung Ardiansyah Joko Dwi Santoso Sri Mulyatun