Cyber Threat Intelligence (CTI) encompasses relevant data regarding various cybersecurity incidents on the internet, used to understand threat actors' behavior patterns, attack techniques, tools, etc., to identify potential future threats and safeguard organizational assets proactively. However, the surge of massive intelligence data has led to challenges analyzing cybersecurity incidents. To address this, we will utilize Elastic Stack (ELK) to simulate real-world data collection, analysis, and visualization environments. Furthermore, participants will be guided to develop their own intelligence integration programs to connect with open-source threat intelligence platforms.
Additionally, with the explosive growth of AI, machine learning, and deep learning methods, they are widely used in various information analyses. In this course, we will employ BERT to analyze this intelligence data, enabling rapid comprehension of intelligence contents and formulation of corresponding defense strategies.
The course consists of 6 practical experiments, making it suitable for AI beginners and students interested in accumulating knowledge in cybersecurity topics. Starting from scratch, we will cover the entire research process, including organizing data in ELK, collecting open-source threat intelligence, building a threat intelligence platform, and training deep learning models. Participants must bring their laptops and embark on an exciting journey into AI Security.
Prerequisite
- Basic Python
- chatGPT。Familiarity with chatGPT
- Participants are required to bring their laptops and install VMware Workstation Player or VMware Workstation Pro. It is recommended to have at least 20 GB of available disk space
- A Google account is necessary as AI model training will occur on Colab. If participants have a graphics card on their laptops, they can train on their machines
Notice:
- For the quality of teaching, Hacking 101 will limit 36 attendees. Please wait in line.
- This agenda will not provide simultaneous interpreting.
Agenda language: Mandarin Chinese
Sean S. Chen is a Ph.D. student in the Department of Computer Science and Information Engineering at the National Taipei University of Technology. He also serves as a cybersecurity researcher intern at Cycraft. His primary research focus is on using AI for threat intelligence analysis. Sean has previously achieved a silver medal in the National Skills Competition for Network Security and has received the Best Project Award for two consecutive editions of AIS3.
After graduating from university, Yuki worked as a Cybersecurity consultant. Currently, Yuki is pursuing a Master's degree in Information Security at National Tsing Hua University, with a primary research focus on data leaks on the internet. Yuki participated in AIS3 and received the Best Project Award. He also completed an internship involving the study of news manipulation. Motivated by his love for detective novels, Yuki entered the field of cybersecurity, aiming to leverage computer technology to improve the societal environment.