Security and Privacy in Data Mining
INSE 6180
Closed
Montreal, Quebec, Canada
Timeline
-
February 17, 2022Experience start
-
April 17, 2022Experience end
Experience
2/2 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Experience scope
Categories
Information technology Machine learning Artificial intelligence Data analysis Data modellingSkills
python statistical analysis business analytics data analyticsStudents will analyze the privacy vulnerability of the dataset, and privacy threats caused by different machine learning models. Then, they will propose how to prevent attacks, and develop privacy-preserving data mining techniques to help companies solve problems.
Learners
Learners
Graduate
Any level
15 learners
Project
40 hours per learner
Learners self-assign
Teams of 2
Final project on privacy and security in real data mining problems.
Project timeline
-
February 17, 2022Experience start
-
April 17, 2022Experience end
Project Examples
Requirements
Final project on privacy and security in real data mining problems, for example, 1. privacy legislation security and privacy threats caused by current data mining techniques; 2. attacks and prevention methods: web privacy attacks, data mining-based intrusion detection; 3. privacy-preserving machine learning
Timeline
-
February 17, 2022Experience start
-
April 17, 2022Experience end