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Found 2 from your keywords: subject="Malware"
cover
Analisa Keakuratan Algoritma Naive Bayes, Support Vector Machine (SVM), dan L…
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Apri SiswantoMar’i Pati

The Internet of Things (IoT) connects various devices such as sensors, cameras, and smart home appliances through networks, providing significant benefits but also increasing the risk of malware attacks. This study aims to analyze the accuracy of three machine learning algorithms—Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression—in detecting malware in IoT network traffic.…

Edition
-
ISBN/ISSN
203510450
Collation
ix, 52 hlm.; 30 x 21 cm
Series Title
-
Call Number
Informatika 519.7 Mar a
cover
Perbandingan Metode Algoritma Machine Learning Support Vector Machine, NaÏve…
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Apri SiswantoDhafin Alfaruqi

Perkembangan teknologi yang pesat, membuat ancaman serangan malware terhadap keamanan siber meningkat, terutama pada Portable Executable (PE) file file yang sering menjadi target serangan. Deteksi malware menggunakan pendekatan tradisional tidak selalu efektif menghadapi varian malware baru. Oleh karena itu, penerapan algoritma machine learning menjadi penting untuk meningkatkan kemampuan detek…

Edition
-
ISBN/ISSN
203510490
Collation
i.,93 Hlm., 30x21 cm
Series Title
-
Call Number
005.84