IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN

no code implementations • 8 Feb 2022 • Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Asifullah Khan

The proposed architecture exploits the concepts of edge and smoothing, multi-path dilated convolutional operations, channel squeezing, and boosting in CNN.

Malware Detection

Malware Classification Using Deep Boosted Learning

no code implementations • 8 Jul 2021 • Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Umme Zahoora, Asifullah Khan

In the hybrid learning, Deep features are extracted from customized CNN architectures and fed into the conventional machine learning classifier to improve the classification performance.

Classification Malware Classification +1