Dennis Kergl

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Student: Dennis Kergl
Title: <to be updated>
Affiliation: Universität der Bundeswehr München
Supervisor: Gabi Dreo Rodosek (UniBwM)
Start: <to be updated>
End: <to be updated>
Funding: German Armed Forces


Dennis Kergl is currently a Ph.D. student at the Department of Computer Science, which is part of the Research Center Cyber Defence "CODE" at the Bundeswehr University Munich. He holds an M.Sc. in Computer Science (2010) from the The Faculty of Mathematics and Natural Sciences of the Heinrich-Heine-University Duesseldorf. He also holds a B.Sc. in Computer Science (2009) from the same university.

PhD project description

<to be updated>

Recent publications

  • Kergl, D., Roedler, R., & Dreo Rodosek, G. (in press: 2015, December). "Detection of zero day exploits using real-time social media streams" In Computational Aspects of Social Networks, 7th International Conference on. Springer.
  • Kergl, D. (in press: 2015, November). "Enhancing network security by software vulnerability detection using social media analysis Extended Abstract" In Data Mining (ICDM), 2015 IEEE 15th international conference on. IEEE.
  • Kergl, D., Roedler, R., & Seeber, S. (2014, August). "On the endogenesis of Twitter's Spritzer and Gardenhose sample streams." In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on (pp. 357-364). IEEE.

Attended conference meetings, symposia e.a.

External links