BOOK-CHAPTER

Hybrid Malicious Encrypted Network Traffic Flow Detection Model

Shivaraj HublikarN. Shekar V. Shet

Year: 2022 Lecture notes on data engineering and communications technologies Pages: 357-375   Publisher: Springer International Publishing
Keywords:
Encryption Computer science Support vector machine Artificial intelligence Convolutional neural network Machine learning Data mining Benchmark (surveying) Traffic classification Artificial neural network Feature extraction Hybrid neural network The Internet Computer security

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
22
Refs
0.28
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Encrypted malicious traffic detection based on neural network

Xia LongfeiZhang QihaoWu XianyunZhu XuetianGu XinTian Min

Journal:   DOAJ (DOAJ: Directory of Open Access Journals) Year: 2025
JOURNAL ARTICLE

Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection

Chuanpu FuQi LiKe Xu

Journal:   IEEE/ACM Transactions on Networking Year: 2024 Vol: 32 (4)Pages: 2972-2987
JOURNAL ARTICLE

Flow Microelement-Driven Traffic Relationship Analysis: Robust Detection of Malicious Encrypted Traffic

Hao FuDegang SunJinxia WeiWei WanChun Long

Journal:   IEEE Transactions on Information Forensics and Security Year: 2025 Vol: 20 Pages: 10604-10619
© 2026 ScienceGate Book Chapters — All rights reserved.