A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
Performance evaluation of CNN and pre-trained models for malware classification
In recent years, with the technological evolution that the world of IT has known, there are
billions of devices connected via the internet and exchange immense amount of data. This …
billions of devices connected via the internet and exchange immense amount of data. This …
Transfer learning based Covid-19 detection using radiography dataset
G Chhikara, P Rana - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
COVID-19 is a worldwide pandemic that affected health care and lifestyle all over the world
and early discovery is critical for controlling virus spread and mortality. The principal …
and early discovery is critical for controlling virus spread and mortality. The principal …
Transfer Learning-Based Malware Classification
A Chakraborty, S Kumar - … Computing for Problem Solving: Proceedings of …, 2023 - Springer
Any software created with malignant intent to harm others in terms of monetary damage,
reputation damage, privacy infringement, etc., is known as malware. Therefore, classifying …
reputation damage, privacy infringement, etc., is known as malware. Therefore, classifying …