Thesis Details
Diagnostika chyb v počítačových sítích založená na překlepech
The goal of this diploma thesis is to create system for network data diagnostics based on detecting and correcting spelling errors. The system is intended to be used by network administrators as next diagnostics tool. As opposed to the primary use of detection and correction spelling error in common text, these methods are applied to network data, which are given by the user. Created system works with NetFlow data, pcap files or log files. Context is modeled with different created data categories. Dictionaries are used to verify the correctness of words, where each category uses its own. Finding a correction only according to the edit distance leads to many results and therefore a heuristic for evaluating candidates was proposed for selecting the right candidate. The created system was tested in terms of functionality and performance.
spelling error detection, spelling error correction, edit distance, string matching, network diagnostics
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT23160,
author = "Michal Bohu\v{s}",
type = "Master's thesis",
title = "Diagnostika chyb v po\v{c}\'{i}ta\v{c}ov\'{y}ch s\'{i}t\'{i}ch zalo\v{z}en\'{a} na p\v{r}eklepech",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2020,
location = "Brno, CZ",
language = "slovak",
url = "https://www.fit.vut.cz/study/thesis/23160/"
}