Text

KLASIFIKASI SERANGAN UDP FLOOD PADA JARINGAN INTERNET OF THINGS (IOT) MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)

---

Penilaian

---

The Internet of things (IoT) is a network that can connect any device to the internet. Denial of Service (DoS) attacks on IoT use reasonable service requests to gain excessive processing and network resources and prevent legitimate users from accessing them. One of the Denial of Service attacks is the User Datagram Protocol (UDP) which is a common form of Denial of Service (DoS) attack, where it works by impersonating large number of fake identities with malicious node, i.e. Internet Protocol (IP) spoofing. In this research, the classification of UDP Flood attacks will be carried out. The results of the Sigmoid Kernel Support Vector Machine classification using 80% split training data and 20% testing show an accuracy of 99.7%, a precision of 5.7%, a recall of 100%, and an F1 – score of 10.8%. For Split training data 70% and Testing 30% produce an accuracy of 99.7%, precision of 6.2%, recall of 100%, and F1 – a score of 11.8%. And for Split training data 60% and Testing 40% show results of accuracy of 99.7%, precision of 6.2%, recall of 100%, and F1 – Score of 11.8%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000606	T86178	T861782023	Central Library	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T861782023

Publisher

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

Collation

xii, 41 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

004.650 7

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Jurusan Sistem Komputer
Jaringan Komunikasi Komputer

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment