Prospectus

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Data Mining for Cyber Security

Course
2015-2016

Admission requirements

Admission only after intake,
see https://www.csacademy.nl/en/education/master-s-programmes/executive-master-s-programme-cyber-security

Elective in master’s programme Cyber Security

Description

The course will provide an extensive overview of data mining and data stream mining techniques and their applications to cyber security. Some applications of these techniques to real-time detection of deviations in data streams, detection of misuse of information systems, fraud detection, detection of DoS attacks, etc. will be discussed in depth. Additionally, practical work with real data will provide the participants some hand-on experience with applying data mining to real-life problems.

Course objectives

Participants have:

  • technical understanding of ICT systems, technical measures and interventions in relation to cyber security questions

  • knowledge and understanding of the potential and limitations of data monitoring & data analytics tools to detect cyber security incidents in cyberspace to apply data mining tools on real-world examples

Timetable

5 days from 9.30 until 17.00
Friday 15 April 2016
Friday 22 April 2016
Friday 29 April 2016
Friday 13 May 2016
Friday 20 May 2016

Mode of instruction

Lectures, seminars, exercises, class discussion
Lecturers: Dr. Wojtek Kowalczyk, Prof.dr. Jan van den Berg, Dr. Jan C.A. van der Lubbe (TUD) and others

Course Load

4 EC

Assessment method

Assignment, presentation, written exam

Blackboard

Yes, for posting slides of lectures, relevant literature and assignments

Reading list

Compulsory literature and literature for further consultation will be announced via Blackboard

Registration

No registration is required for lectures and exams.

Registration Studeren à la carte and Contractonderwijs

N/A

Contact

Dr. Wojtek Kowalczyk
Drs. Mireille Snels, programme manager

Remarks

See https://www.csacademy.nl/en/education/master-s-programmes/executive-master-s-programme-cyber-security