All Stories

  1. Real-Time Hybrid Machine Learning-Based Next-Generation Intrusion Detection System for Edge Computing Networks
  2. Intrusion Detection at the Edge Computing: A Deep Learning Approach Using the UNSW-NB15 Dataset
  3. Optimizing Intrusion Detection in Edge Computing Network: A Hybrid ML Approach with Recursive Feature Elimination
  4. Real Time Intrusion Detection In Edge Computing Using Machine Learning Techniques
  5. Encrypted malware detection methodology without decryption using deep learning-based approaches
  6. Deep Neural Networks Performance Comparison for Handwritten Text Recognition
  7. Domain-Checker: A Classification of Malicious and Benign Domains Using Multitier Filtering
  8. Real time malware detection in encrypted network traffic using machine learning with time based features
  9. A Review of Ensemble Methods Used in AI Applications
  10. Encrypted Malware Detection Methodology without Decryption using Deep Learning based Approaches
  11. Machine Learning based Intrusion Detection System for Minority Attacks Classification
  12. Classification of Malware in HTTPs Traffic Using Machine Learning Approach
  13. Handshake Comparison Between TLS V 1.2 and TLS V 1.3 Protocol
  14. A Comparative Review of Malware Analysis and Detection in HTTPs Traffic
  15. A Comparative Analysis of Benign and Malicious HTTPs Traffic
  16. Recurrent Convolutional Attention Neural Model for Sentiment Classification of short text
  17. A Study on Zero Day Malware Attack