Bc. Samuel Ambros

Bachelor's thesis

Strojové učenie pre zlepšenie detekcie pohybu útočníka v sieti

Improving pivoting detection via machine learning
Abstract:
This work deals with the problem of pivoting. The final outcome is a classification model with a lower false positivity rate than (other) current solutions. Besides that, this work also introduces the concept of pivoting, an exploratory analysis that showcases the correlation of data for pivoting, and several various classification models that were among the candidates for the final model.
Abstract:
Práca sa zaoberá problémom pivotingu. Výsledkom je klasifikačný model, ktorý dosahuje nižšiu falošnú pozitivtu ako doterajšie riešenia. Okrem toho sa v tejto práci nachádza oboznámenie s pojmom pivoting, exploračná analýza, na ktorej je možné vidieť koreláciu dát pre pivoting a rôzne klasifikačné modely, ktoré boli kandidátmi na výsledný model.
 
 
Language used: Slovak
Date on which the thesis was submitted / produced: 19. 5. 2022

Thesis defence

  • Date of defence: 28. 6. 2022
  • Supervisor: RNDr. Martin Husák, Ph.D.
  • Reader: RNDr. Martin Drašar, Ph.D.

Citation record

Full text of thesis

Contents of on-line thesis archive
Published in Theses:
  • světu
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky

Masaryk University

Faculty of Informatics

Bachelor programme / field:
Informatics / Informatics

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