Harald Vranken

dr. ir.

Associate Professor, Department Computer Science
Senior Researcher, Research Line Resilience (part of LIRS program)

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4 Similar Profiles

Data flow analysis Engineering & Materials Science

learning behavior Social Sciences

learning success Social Sciences

networking Social Sciences

Learning systems Engineering & Materials Science

evaluation Social Sciences

education Social Sciences

student Social Sciences

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Research Output 2017 2018

4 Article
3 Conference article in proceeding

Applying deep learning on packet flows for botnet detection: Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing

van Roosmalen, J., Vranken, H. P. E. & van Eekelen, M. C. J. D., 13 Apr 2018, Proceedings of the 33rd Annual {ACM} Symposium on Applied Computing, {SAC} 2018, Pau, France. Haddad, H. M., Wainwright, R. L. & Chbeir, R. (eds.). New York: acm, p. 1629-1636 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Denial-of-Service Attacks on LoRaWAN

van Es, E., Vranken, H. & Hommersom, A., 2018, Proceedings of the 13th International Conference on Availability, Reliability and Security. New York, NY, USA: acm, 17

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

Kronjee, J., Hommersom, A. & Vranken, H., 2018, Proceedings of the 13th International Conference on Availability, Reliability and Security. New York, NY, USA: acm, 10 p. 6

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Data flow analysis

Learning systems

Static analysis

Classifiers