Big data analytics are very fruitful for solving problems in cybersecurity. This course introduces modern trends in intelligent security systems research and practice and worked out a syllabus in the area of data mining and machine learning with applications to cybersecurity. Contrary to the traditional data mining and machine learning courses we illustrate course topics by cases from the area of cybersecurity including botnet detection, intrusion detection, deep packet inspection, fraud monitoring, malware detection, phishing detection, active authentication.
提供一高階 AI 流程自動化佈署內容，結合模組化容器技術介紹，尤其重視虛擬化流程 pipeline 觀念導入資訊安全業界議題，如入侵偵測、聯邦學習防駭等，最後以業界出題之應用結合AI自動化 container operator optimization 評估進行產學合作專題呈現。Big data analytics are very fruitful for solving problems in cybersecurity. This course introduces modern trends in intelligent security systems research and practice and worked out a syllabus in the area of data mining and machine learning with applications to cybersecurity. Contrary to the traditional data mining and machine learning courses we illustrate course topics by cases from the area of cybersecurity including botnet detection, intrusion detection, deep packet inspection, fraud monitoring, malware detection, phishing detection, active authentication.
Provides a high-level AI process automation deployment content, combined with the introduction of modular container technology, with special emphasis on the virtualization process pipeline concept and the introduction of information security industry topics, such as intrusion detection, federated learning anti-hacking, etc., and finally combines AI with industry-proposed applications Automated container operator optimization evaluation will be presented on a special topic of industry-university cooperation.
1.資訊安全概論，作者:林祝興, 張明信。出版書局:旗標
2.王者歸來：WEKA機器學習與大數據聖經，作者:袁梅宇，出版書局:佳魁
1. Introduction to Information Security, author: Lin Zhuxing, Zhang Mingxin. Publishing House: Flag
2. Return of the King: WEKA Machine Learning and Big Data Bible, author: Yuan Meiyu, published by: Jiakui
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 小考一小考一 Quiz 1 |
15 | 期中考前 |
| 期中考期中考 midterm exam |
30 | |
| 小考二小考二 Quiz 2 |
15 | 期末考前 |
| 期末專題期末專題 Final topic |
30 | |
| 作業出席作業出席 homework attendance |
10 |
