A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory
<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. Due to the frequent adaptation of botnets to evolving responses offered by host-based and network-based detection mechanisms...
محفوظ في:
| المؤلف الرئيسي: | Mehdi Asadi (12566741) (author) |
|---|---|
| مؤلفون آخرون: | Arash Heidari (6845390) (author), Nima Jafari Navimipour (22467562) (author) |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
حسب: Al-Bashabsheh, Emran
منشور في: (2023) -
Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model
حسب: Ahmad N. Alkuwari (22392226)
منشور في: (2025) -
Temporal Machine Learning Payload Prediction for DJI Matrice 100 Quadcopter Drone Based on Tracking Data
حسب: Kashkash, Mariam
منشور في: (2024) -
Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
حسب: Nadia Rasheed (22997257)
منشور في: (2025) -
The molecular mechanism of nitric oxide in memory consolidation and its role in the pathogenesis of memory-related disorders
حسب: Zainab I. Bahdar (22303855)
منشور في: (2025)