1061 - 人工智慧與資訊安全
Artificial Intelligence Applications to Cybersecurity
教育目標 Course Target
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.
參考書目 Reference Books
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
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
小考一 A small test |
15 | 期中考前 |
期中考 Midterm exam |
30 | |
小考二 Tips two |
15 | 期末考前 |
期末專題 Final topics |
30 | |
作業出席 Work attendance |
10 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1061
- 學分 Credit: 0-3
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上課時間 Course Time:Tuesday/6,7,8[C118]
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授課教師 Teacher:石志雄
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修課班級 Class:資工系3,4
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選課備註 Memo:數創組分組選修
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