IDENTIFIKASI SERANGAN DDOS SYN FLOOD MENGGUNAKAN ARTIFICIAL IMMUNE SYSTEM

RENALDO, RIDHO ILHAM and Stiawan, Deris and Heryanto, Ahmad (2020) IDENTIFIKASI SERANGAN DDOS SYN FLOOD MENGGUNAKAN ARTIFICIAL IMMUNE SYSTEM. Undergraduate thesis, Sriwijaya University.

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Abstract

Serangan Syn Flood DDoS merupakan aktivitas serangan yang mengeksploitasi proses three way handshake pada koneksi TCP yang memanfaatkan Hping3. Sebagai tools yang untuk membuat traffic data serangan Syn Flood DDoS yang terdiri dari tiga skenario pembuatan dataset sehingga mendapatkan dataset yang bersifat homogen. Algoritma Dendritic Cell atau dikenal dengan DCA merupakan algoritma yang dirancang sebagai deteksi anomali pada traffic jaringan. Pada penelitian ini, serangan Syn Flood dapat diatasi menggunakan Artificial Immune System (AIS) dengan pemanfaatan Algoritma Dendritic Cell. Hasil dari deteksi Artificial Immune System (AIS) dengan pemanfaatan Dendritic Cell Algorithm (DCA) telah berhasil mendeteksi Serangan DDoS SYN Flood dengan tingkat akurasi 98,04 %, TPR 97,05 %, TNR 98,48 %, FPR 1,51% dan TNR 2,94%.

Item Type:	Thesis (Undergraduate)
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 5497 not found.
Date Deposited:	18 Mar 2020 04:27
Last Modified:	18 Mar 2020 04:27
URI:	http://repository.unsri.ac.id/id/eprint/28334

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