Coursebooks 2017-2018

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Information security and privacy

COM-402

Lecturer(s) :

Ford Bryan Alexander

Language:

English

Summary

This course will provide a broad overview of information security and privacy topics, with the primary goal of giving students the knowledge and tools they will need "in the field" in order to deal with the security/privacy challenges they are likely to encounter in today's "Big Data" world.

Content

' Data protection concepts: access control, encryption, compartmentalization

' Intrusion/hacking techniques, intrusion detection, advanced persistent threats

' Practices for management of personally identifying information

' Operational security practices and failures

' Data anonymization and de-anonymization techniques

' Information flow control

' Differential privacy

' Cryptographic tools for data security and privacy

' Policy, ethics, and legal considerations


Keywords

security, privacy, protection, intrusion, anonymization, cryptography

Learning Prerequisites

Required courses

Basic programming course or comparable demonstration of basic programming skills

Learning Outcomes

By the end of the course, the student must be able to:

Expected student activities

Attending lectures, solving assigned problems and "hands-on" exercises, reading and demonstrating understanding of provided materials.

Assessment methods

Continuous assessment via homework exercises, and final written exam.

In the programs

  • Data Science, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computer Science, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computational science and Engineering, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computational science and Engineering, 2017-2018, Master semester 4
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 2
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 4
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks
  • Computer and Communication Sciences (edoc), 2017-2018
    • Semester
      Spring
    • Exam form
      Written
    • Credits
      6
    • Subject examined
      Information security and privacy
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Project
      2 Hour(s) per week x 14 weeks

Reference week

MoTuWeThFr
8-9
9-10
10-11
11-12
12-13
13-14
14-15
15-16 CM3
16-17 CM1
17-18
18-19
19-20
20-21
21-22
Lecture
Exercise, TP
Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German