Skripsi

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

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307004314	T91894	T918942023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T918942023

Publisher

Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xii, 73 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

005.8 07

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Keamanan Data
Jurusan Sistem Komputer

Specific Detail Info

-

Statement of Responsibility

ANUG

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment