课程名称 (Course Name) ： Big Data Security大数据安全
课程代码 (Course Code）： CS28009
学分/学时 (Credits/Credit Hours)：3
开课时间 (Course Term )： Spring Semester
开课学院（School Providing the Course）: SEIEE
任课教师（Teacher）: Lei Wang
课程讨论时数（Course Discussion Hours）:
课程实验数（Lab Hours）:
课程内容简介(Course Introduction):
Course Description:
Big Data brings both challenge and opportunity for the field of Information Security. On one hand, various structure and unclear source of data makes it hard to sample, integrate and store data in a secure way. On the other hand, it becomes possible to find potential security risk and to anticipate the future trends of the field, by observing and analyzing the big data.
Goals:
3 Credits. Students should have already have a systematic view of the current state and future trends of Big Data Security at the end of the course.
教学大纲(Course Teaching Outline):
Chapter 1: Background
1.1 Current State and trends of Big Data
1.2 Challenge and Opportunity Big Data brings
1.3 Cloud Computing
Chapter 2: Introduction of Big Data Security
2.1 Infrastructure Security
2.2 Storage Security
2.3 Application Security
2.4 Security Requirements
2.5 Industry Trends
Chapter 3: Security Techniques in Big Data (Challenge)
3.1 Data Sampling Techniques
3.2 Data Storing Techniques
3.3 Data Mining Techniques
3.4 Data Publishing Techniques
Chapter 4: Application of Big Data Security (Opportunity)
4.1 Security Testing
4.2 Security Big Data Mining
4.3 Network Situation Awareness
4.4 Video Surveillance
Chapter 5: Trends of Big Data Security
课程进度计划(Course Schedule):
Chapter 1: Background
1.4 Current State and trends of Big Data
1.5 Challenge and Opportunity Big Data brings
1.6 Cloud Computing
Chapter 2: Introduction of Big Data Security
2.1 Infrastructure Security
2.2 Storage Security
2.3 Application Security
2.4 Security Requirements
2.5 Industry Trends
Chapter 3: Security Techniques in Big Data (Challenge)
3.1 Data Sampling Techniques
3.2 Data Storing Techniques
3.3 Data Mining Techniques
3.4 Data Publishing Techniques
Chapter 4: Application of Big Data Security (Opportunity)
4.1 Security Testing
4.2 Security Big Data Mining
4.3 Network Situation Awareness
4.4 Video Surveillance
Chapter 5: Trends of Big Data Security
课程考核要求(Course Assessment Requirements)：
Attendance: 30%
Final Report: 70%, each student is required to select a topic in the field of Big Data Security, then to carry out a throughout survey, and to submit a report.
参考文献(Course References)：
RSA Conference, Network Forum on Big Data Security
预修课程（Prerequisite Course）
N/A
