Bram C.M. Cappers, MSc

Personal profile

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Bram Cappers is a PhD student at Eindhoven University of Technology. He achieved both his bachelor and master’s degrees in Computer Science (with honors) at Eindhoven University of Technology. After obtaining his Master in 2014 he started as a PhD student in the area of data visualization and cyber security.

In the project SpySpot we are developing new tools and techniques to assist analysts in gaining insight and reverse engineering network traffic. Besides the project, Bram is active in the program committee of the IEEE Symposium on Cyber Security Visualization.

With his latest system Eventpad Bram recently won a ICT.Open and Visual Analytics Science and Technology award for the discovery of patterns and anomalies in traffic data. In addition, the system has been used successfully for fraud detection in VoIP traffic, the discovery of bottlenecks in patient records and the reverse engineering of Ransomware activity. With these successes Eventpad has been in published KPN’s Cyber Security Perspective 2018 as new and innovative approach to enhance Cyber Security.

Fingerprint Dive into the research topics where Bram C.M. Cappers is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Telecommunication traffic Engineering & Materials Science

Learning systems Engineering & Materials Science

Visualization Engineering & Materials Science

Inspection Engineering & Materials Science

Intrusion detection Engineering & Materials Science

Structural analysis Engineering & Materials Science

Telecommunication Engineering & Materials Science

Servers Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2019

36 Citations
6 Conference contribution
2 Poster
1 Chapter
1 Article
1 More
- 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

Eventpad: Rapid malware analysis and reverse engineering using visual analytics

Cappers, B. C. M., Meessen, P. N., Etalle, S. & Van Wijk, J. J., 9 May 2019, 2018 IEEE Symposium on Visualization for Cyber Security, VizSec 2018. Trent, S., Kohlhammer, J., Sauer, G., Gove, R., Best, D., Paul, C. L., Prigent, N. & Staheli, D. (eds.). Institute of Electrical and Electronics Engineers, 8 p. 8709230

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

Open Access

File

Reverse engineering

Data visualization

Data reduction

Agglomeration

Personnel

Eventpad : a visual analytics approach to network intrusion detection and reverse engineering

Cappers, B. C. M., van Wijk, J. J. & Etalle, S., 23 Apr 2018, European Cyper Security Perspectives 2018. Den Haag: KPN, p. 62-65 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional

Open Access

File

Reverse engineering

Intrusion detection

2 Citations (Scopus)

Exploring DSL evolutionary patterns in practice: a study of DSL evolution in a large-scale industrial DSL repository

Mengerink, J. G. M., van der Sanden, B., Cappers, B. C. M., Serebrenik, A., Schiffelers, R. R. H. & van den Brand, M. G. J., 2018, Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development: Volume 1: MODELSWARD. SCITEPRESS-Science and Technology Publications, Lda., p. 446-453 8 p.

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

Open Access

File

DSL

Automation

Engineers

Exploring lekagul sensor events using rules, aggregations, and selections

Cappers, B. C. M., 21 Dec 2018, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings. Schreck, T., Fisher, B. & Liu, S. (eds.). Institute of Electrical and Electronics Engineers, p. 193-194 2 p. 8585619

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

Agglomeration

Sensors

11 Citations (Scopus)