ANALISIS SERANGAN DDOS DENGAN MENGGUNAKAN ANOMALY-BASED IDS BERBASIS NETWORK BEHAVIOR ANALYSIS (NBA)

SALASA, GARINNANG BAIDURI and Heryanto, Ahmad and Septian, Tri Wanda (2023) ANALISIS SERANGAN DDOS DENGAN MENGGUNAKAN ANOMALY-BASED IDS BERBASIS NETWORK BEHAVIOR ANALYSIS (NBA). Undergraduate thesis, Sriwijaya University.

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Abstract

DDoS assaults pose a serious threat to enterprises, inflicting damage and disruption, thus improving the speed and accuracy of DDoS detection and mitigation is critical. The combination of Network Behavior Analysis (NBA) with the algorithms K-Nearest Neighbor (KNN) and Naive Bayes (NB) was evaluated to detect DDoS attacks (Distributed Denial of Service). Using the CICDDoS2019 dataset, KNN was found to have higher accuracy (99.82%) and better performance metrics than NB (98.02%). The combination of NBA, KNN, and NB provides a powerful defense against DDoS attacks and enables rapid detection and response to potential threats, making it a valuable tool for network administrators and security professionals.

Item Type:	Thesis (Undergraduate)
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150-4380 Computer network resources
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Garinnang Baiduri Salasa
Date Deposited:	30 Mar 2023 02:30
Last Modified:	30 Mar 2023 02:30
URI:	http://repository.unsri.ac.id/id/eprint/91894

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