Skripsi

DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE K-NEAREST NEIGHBOR

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Penilaian

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A Mirai Botnet is a computer network consisting of thousands or millions of internet connected devices that have been hacked by the mirai malware. The purpose of the Mirai Botnet is to control Internet of Things (IoT) devices with weak security to infect the device and turn it into a botnet that can target other devices through Distributed Denial of Service (DDoS) attacks that can paralyze web services. This study uses a dataset from CICIoT2023 which consists of three types of classes namely benign traffic, mirai greip flood, and mirai udpplain to detect botnet malware attacks using the K-Nearest Neighbor method. The results of this study show that the K-Nearest Neighbor method using the k=12 value is able to detect botnet malware attacks by achieving the best performance with an accuracy rate of 98.50%, precision of 98.19%, recall of 96.46%, and f1-score of 97.32%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407004143	T150165	T1501652024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1501652024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2024

Collation

xiii, 52 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.820 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
K-Nearest Neighbor

Specific Detail Info

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Statement of Responsibility

KA

Other version/related

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