Muhammad Ashfaq Khan

Toward Developing Efficient Conv-AE-Based Intrusion Detection System Using Heterogeneous Dataset

Juntae Kim, Muhammad Ashfaq Khan, Juntae Kim, 2020, Electronics.

HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

Muhammad Ashfaq Khan, Muhammad Ashfaq Khan, 2021, Processes.

Deep Learning-Based Hybrid Intelligent Intrusion Detection System

Yangwoo Kim, Muhammad Ashfaq Khan, Yangwoo Kim, 2021, Computers, Materials & Continua.

A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network

Yangwoo Kim, Md. Rezaul Karim, Muhammad Ashfaq Khan, 2018, Symmetry.

A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network

Md. Rezaul Karim, Yangwoo Kim, Muhammad Ashfaq Khan, 2019, Symmetry.

Cardiac Arrhythmia Disease Classification Using LSTM Deep Learning Approach

Yangwoo Kim, Muhammad Ashfaq Khan, Yangwoo Kim, 2021 .

Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach

Zahid Akhtar, Kamran Siddique, Yangwoo Kim, 2018, KSII Trans. Internet Inf. Syst..