Analysis of Hybrid Deep Learning Models for Efficient Intrusion Detection
Author:
Affiliation:
1. Amrita Vishwa Vidyapeetham, School of Engineering,Computer Science and Engineering (AIE),Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127222/10127226/10127270.pdf?arnumber=10127270
Reference24 articles.
1. 1D CNN based network intrusion detection with normalization on imbalanced data
2. Classification of Protein sequences using hybrid Recurrent Deep Learning Models
3. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
4. CNN and XGBoost Based Hybrid Model in Classification of Fetal Ultrasound Scan Planes Images in Detection of Congenital Heart Defects
5. A bidirectional LSTM deep learning approach for intrusion detection
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