Artificial Intelligence and Machine Learning for Information Security Applications

• Artificial Neural Networks
• Deep Learning
• Agent based Simulations

Having completed the course, the candidate should have:

-Knowledge: The candidate is in the forefront of knowledge within the fields of artificial intelligence and machine learning in the field of information security. The candidate can evaluate the design and implementation of information security research and development projects using AI and ML algorithms. The candidate has the ability to discuss and explain the usefulness and weakness of various algorithms in his\her PhD project.

-Skills: The candidate can select, formulate, implement and test AI and ML algorithms as part of PhD project.

-General competence: The candidate has the ability to communicate and lead discussions on recent research about AI and ML. The candidate has the ability to evaluate and critique mechanisms for AI and ML.

-Reading papers in the field of research with connections to AI and ML

-Seminars with presentations of progress

-Review of AI and ML algorithms and writing and presenting a report on the applicability of the algorithms for own research

-Selecting an algorithm and applying and testing the algorithm in own research

-Delivering a paper that can be submitted to a conference or a journal at the intersection of the field of own research and AI\ML, having selected, implemented and tested the algorithm.