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.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.
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. Information security overview, author: Lin Zhuxing, Zhang Mingxin. Publishing and Book Bureau: Flagmark
2. King of Learning: WEKA Machine Learning and Big Data Sacred Books, Author: Yuan Meiyu, Publishing and Book Bureau: Jiakui
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 小考一小考一 A small test |
15 | 期中考前 |
| 期中考期中考 Midterm exam |
30 | |
| 小考二小考二 Tips two |
15 | 期末考前 |
| 期末專題期末專題 Final topics |
30 | |
| 作業出席作業出席 Work attendance |
10 |
