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Syllabus Information

 

Spring 2023
Mar 29, 2024
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Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
CS 55600 - Data Security And Privacy
Associated Term: Spring 2023
Learning Outcomes: 1.  Explain the limitation of discretionary access control and the impacts to security. (E,Q,W) 2.  Explain the definition, enforcement, and challenges for multi-level security, including the Bell LaPadula model, non-interference, and covert channels. (E,Q,W) 3.  Articulate integrity models (Biba and Clark-Wilson), and the difference between integrity and confidentiality. (E,Q,W) 4.  Explain the main database security mechanism, including grant revoke model, content-based and context-based access control, virtual private databases, labelled databases, and data encryption. (E,Q,W) 5.  Articulate the limitations of data anonymization for achieving privacy, and the strengths and limitations of privacy notions including differential privacy. (EQW) 6.  Identify, implement, and deploy differential privacy mechanisms for problem settings. (P)
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