A.Kumar - Python for Building Malware Classifier: From Sample Collection to building Web Application

Ajit Kumar - Python for Building Malware Classifier: From Sample Collection to building Web Application

PyCode Conference 2020

Dr. Ajit Kumar is a Post-doctoral researcher in Soongsil University, Seoul, South Korea. He has completed his Ph.D. from the Department of Computer Science, Pondicherry University in 2018. His Ph.D. thesis titled "A Framework for Malware Detection with Static Features using Machine Learning Algorithms" focused on Malware detection using machine learning. He is working with Python since 2012 for his research work and other development work. He is also interested in web development, Information security, and Data Science. Python is his language of choice for all the programming related tasks. He has been motivating and training students to adopt Python as his programming language. He loves to write and share the article about Python and its applications.

Python for Building Malware Classifier: From Sample Collection to building Web Application
Malware is a critical threat to all kinds of Cyberinfrastructure. The proposed talk aimed to train the participants through various steps involved in building malware classifier based on machine learning algorithms. 1. Data collection 2.Pre-processing: (duplicate removal, file type identification, etc.) to prepare a suitable dataset for the experiment. 3. Labeling 4. Feature extraction 5. Model building 6. Deploy the classifier as a web application.

[Notpaintbusch]

Are the other talks going to be uploaded as well? Thanks!