Malware detection performance of convolutional neural networks (CNN) and ByteEnc (our method).

Malware detection performance of convolutional neural networks (CNN) and ByteEnc (our method).

<p>Malware detection performance of convolutional neural networks (CNN) and ByteEnc (our method).</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Eun-Jin Kim (305808) (author)
مؤلفون آخرون: Yun-Kyung Lee (10865965) (author), Sang-Min Lee (474684) (author), Jeong-Nyeo Kim (22421623) (author), Ah Reum Kang (8720862) (author), Mi-seo Kim (22421626) (author), Young-Seob Jeong (12800186) (author)
منشور في: 2025
الموضوعات:
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
three file types
network every day
making neural network
empirical results demonstrate
capture local patterns
natural language processing
masked language modeling
detect malicious activities
based language models
malware detection task
malware detection services
processes byte sequences
p &# 8764
including conventional pre
based language model
trained transformer encoder
malware detection
language model
byte sequences
based model
powerful encoder
malicious attacks
foundation model
speech recognition
sequence prediction
sentence prediction
recent studies
possible combinations
novel transformer
news articles
ms office
image analysis
fake prediction
benchmark consisting
approximately 2
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
الوصف
الملخص:<p>Malware detection performance of convolutional neural networks (CNN) and ByteEnc (our method).</p>

مواد مشابهة