Automated Malware Analysis with Python

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Python-2	Course code: Python-2 Automated Malware Analysis with Python

Seminar name/code	Date/time	Overview
[Python-2] Automated Malware Analysis by Python (Code:Python-2)	2Days (10:00-18:00)	Enables more efficient malware analysis using Python. Leverage AI to build your own malware detector using the machine learning libraries scikit-learn and Keras.
Textbook and equipment used	Lecturer	Purpose
★Distribution ・Machine Learning Books ・Keras/scikitBooks ・PythonEnvironment (Windows/Kali) ・Resume material ・CD-ROM ・USB memory ・Ikeriri bag ・Ikeriri magnet ★Lunch box ★Equipment used ・USB pen test tool Hardware security equipment ・LAN cable/router ・2 PCs per person (Kali/Windows) ・Network Environment ・Whiteboard/projector	Megumi Takeshita Ikeriri★Network Service Co., Ltd.	Incorporate Python to streamline malware analysis. Understand the basic concepts and processes of machine learning (AI). Using a script that incorporates a Python machine learning library, we will create a deep neural network-based malware detection system by identifying malware created by the same attacker, understanding malware such as zero-day attacks, and visualizing data such as ROC curves.
Seminar details New
Basics of machine learning Mathematics of machine learning MinMax algorithm Using Tensor Flow etc. Folding, learning, supervised models, etc. Understanding the basics of neural networks		Overview of machine learning-based malware detectors Evaluation of malware detectors based on machine learning Building a malware detector based on machine learning Visualize malware trends