SISTEM PENCEGAHAN DDOS SYN FLOODING MENGGUNAKAN METODE ARTIFICIAL IMMUNE SYSTEM

ARISMAWAN, AHMAD ILHAM and Stiawan, Deris and Heryanto, Ahmad (2021) SISTEM PENCEGAHAN DDOS SYN FLOODING MENGGUNAKAN METODE ARTIFICIAL IMMUNE SYSTEM. Undergraduate thesis, Sriwijaya University.

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Abstract

Intrusion Prevention System is a system that combines early detection and pro active prevention system. DDoS SYN Flooding is a DDoS attack activity which utilizes Syn Packet in the Three Way Handshake process to flood victim resource in the TCP Protocol. Negative Selection Algorithm known as NSA is an algorithm from Artificial Immune System (AIS) method which is designed to detect network traffic anomalies. Using Hping3 as a tool to create traffic data, 3 scenarios for create homogeneus dataset are designed. In this case, using Artificial Immune System (AIS) by utilizing the Negative Selection Algorithm, attacks were successfully detected and prevented with an Accuracy rate of 88%, Precision 100% and TPR 81%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Artificial Immune System, DDoS Syn Flooding, Intrusion Prevention System
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mr Ahmad Ilham Arismawan
Date Deposited:	11 May 2022 04:09
Last Modified:	11 May 2022 04:09
URI:	http://repository.unsri.ac.id/id/eprint/69860

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