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As published via the course description, the course content was perceived as too demanding.

Before launching the course, I was in contact with two PhD students who were considering taking the course. I was then informed that they found an alternative course (IMT6171 - Artificial Intelligence and Machine Learning for Information Security Applications) which was more accessible and would require them to study less.

Without knowledge of the underlying algorithms, I find it problematic to apply AI/ML to cybersecurity and forensics, in particular at the PhD level. One is relatively limited in understanding the challenging interaction of the application domain/task, selected technology/algorithms, and implemented method/protocol. The interested reader might have a look at the research by Jan William Johnsen, "Interdisciplinary approach to criminal network analysis Opportunities and challenges", Doctoral theses at NTNU, 2022:65, who studied in detail the challenges of applying off-the-shelf AI/ML algorithms in forensic science without a critical review of the computational precondition and objectives. We are reflecting on discontinuing the offering of the course. If interested in pursuing the course content, please don't hesitate to get in touch.

NTNU:TIA:REST

Institutt for informasjonssikkerhet og kommunikasjonsteknologi

Department of Information Security and Communication Technology

Engelsk

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Læringsutbytte

Læringsformer og aktiviteter

Computational Intelligence

Informatikk

Informasjonssikkerhet og kommunikasjonsteknologi - doktorgrad (ph.d.)

PhD in Computer Science

PhD in Information Security

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PhD emneIngen studenter høst21Frekvens av emnetilbudet bør vurderes.

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Computational Intelligence - IMT6101