Thesis Details

Rozšíření systému pro shlukovou analýzu binárních souborů

Bachelor's Thesis Student: Plaskoň Pavol Academic Year: 2016/2017 Supervisor: Kolář Dušan, doc. Dr. Ing.
English title
Improving an Existing System for Clustering Binary Files
Language
Czech
Abstract

The increase in the amount of information requires advanced processing of data. One of such methods is cluster analysis. It is a process of classification of objects based on their similarity. Anti-malware companies analyze large amount of files every day. In order to speed up their analysis, a cluster-analysis tool was implemented in AVG Technologies. The goal of this work is to improve this tool for clustering binary files by adding support and heuristics for cluster analysis of APK and DEX file formats. Apart from the newly added support for APK and DEX files, the tool has been extended to support cluster analysis of archives. Everything was tested and put into production.

Keywords

cluster analysis, static analysis, dynamic analysis, Android, APK, DEX, ZIP

Department
Degree Programme
Files
Status
defended, grade A
Date
13 June 2017
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Martínek Tomáš, Ing., Ph.D. (DCSY FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Citation
PLASKOŇ, Pavol. Rozšíření systému pro shlukovou analýzu binárních souborů. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-13. Supervised by Kolář Dušan. Available from: https://www.fit.vut.cz/study/thesis/20059/
BibTeX
@bachelorsthesis{FITBT20059,
    author = "Pavol Plasko\v{n}",
    type = "Bachelor's thesis",
    title = "Roz\v{s}\'{i}\v{r}en\'{i} syst\'{e}mu pro shlukovou anal\'{y}zu bin\'{a}rn\'{i}ch soubor\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/20059/"
}
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