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Metrics for Intrusion Detection in Network Traffic
Homoliak, Ivan ; Chmelař, Petr (referee) ; Drozd, Michal (advisor)
Publication aims to propose and apply new metrics for intrusion detection in network traffic according to analysis of existing metrics, analysis of network traffic and behavioral characteristics of known attacks. The main goal of the thesis is to propose and implement new collection of metrics which will be capable to detect zero day attacks.
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Metadata Extraction from Scientific Papers
Lokaj, Tomáš ; Dytrych, Jaroslav (referee) ; Otrusina, Lubomír (advisor)
This work deals with the Metadata Extraction from Scienti c Papers. There is generally described issue of information extraction, focusing on the processing of text documents. There is also presented programme clanky2meta.py designed to search for relevant information in scienti c publication, created by the author. At the end of this work is a comparsion of systems dealing with the same issue, especially with the CiteSeerX system.
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Mining of Textual Data from the Web for Speech Recognition
Kubalík, Jakub ; Plchot, Oldřich (referee) ; Mikolov, Tomáš (advisor)
Prvotním cílem tohoto projektu bylo prostudovat problematiku jazykového modelování pro rozpoznávání řeči a techniky pro získávání textových dat z Webu. Text představuje základní techniky rozpoznávání řeči a detailněji popisuje jazykové modely založené na statistických metodách. Zvláště se práce zabývá kriterii pro vyhodnocení kvality jazykových modelů a systémů pro rozpoznávání řeči. Text dále popisuje modely a techniky dolování dat, zvláště vyhledávání informací. Dále jsou představeny problémy spojené se získávání dat z webu, a v kontrastu s tím je představen vyhledávač Google. Součástí projektu byl návrh a implementace systému pro získávání textu z webu, jehož detailnímu popisu je věnována náležitá pozornost. Nicméně, hlavním cílem práce bylo ověřit, zda data získaná z Webu mohou mít nějaký přínos pro rozpoznávání řeči. Popsané techniky se tak snaží najít optimální způsob, jak data získaná z Webu použít pro zlepšení ukázkových jazykových modelů, ale i modelů nasazených v reálných rozpoznávacích systémech.
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System for Online Inguiry Using Business Inteligence
Bouček, Petr ; Jaša, Petr (referee) ; Stryka, Lukáš (advisor)
This thesis deals with the design and creation of the web portal that enables to do the public opinion inquiry using decision support tools. In the first part, the decision support technologies will be introduced. The parts dealing with the practical part of the thesis, like the design and the implementation of this system, follow. In the final chapters, the practical application of the system and illustrations of the processing of the results with the further extensions are presented.
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Application for Management and Analysis of Data About Games of Chess
Kunčar, Petr ; Šebek, Michal (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with design and implementation of system for management and analysis of data about games of chess. The games of chess are stored in a database, to which they are uploaded by means of the system. There is also the AprioriAll algorithm implemented to find sequential patterns occuring in the data. Except of mining sequential patterns, the functionality of tree creation and searching in the data is also implemented. The data about games of chess are stored in a form of standard PGN files.
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Computer Identification Based on Its Network Behaviour
Myška, Michal ; Halfar, Patrik (referee) ; Polčák, Libor (advisor)
This diploma thesis deals with computer identification using network behavioral patterns. Security functions providing privacy are described together with user privacy threats. Then, several approaches to the computer identification based on network behaviour are described. The proposed tool is based on data mining method Multinomial Naive Bayes. Then, the implementation of proposed tool is described and the experiments recognizing success in the identification are performed.
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Time-Serie Mining Module of a Data Mining System
Klement, Ondřej ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The subject of this master's thesis is extension of existing data mining system. System will be extended by the module for the time series data mining. This thesis consists of common introduction to data mining issues and continues with time series analysis. Thesis then also contains some of the current tasks and algorithms used in time series data mining, follows by the concept of the implementation and description of the choosen mining method. Possible future system's improvments are disscused at the end of the paper.
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Data Mining
Stehno, David ; Hynčica, Tomáš (referee) ; Honzík, Petr (advisor)
The aim of the thesis was to study and describe data mining methodology CRISP-DM. From the collected database of calls to the call center a prediction was performed, based on CRISP-DM methodology. In phase of test situation modeling four different testing methods were used: the k-NN, neural network, linear regression and super vector machine. The input attributes importance for further prediction was evaluated based on different selections. The results and findings may provide data for further more accurate forecasts in the future; not only in number of calls but also other indicators relevant to the call center.
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Detection of Network Anomalies Based on NetFlow Data
Czudek, Marek ; Bartoš, Václav (referee) ; Kořenek, Jan (advisor)
This thesis describes the use of NetFlow data in the systems for detection of disruptions or anomalies in computer network traffic. Various methods for network data collection are described, focusing especially on the NetFlow protocol. Further, various methods for anomaly detection in network traffic are discussed and evaluated, and their advantages as well as disadvantages are listed. Based on this analysis one method is chosen. Further, test data set is analyzed using the method. Algorithm for real-time network traffic anomaly detection is designed based on the analysis outcomes. This method was chosen mainly because it enables detection of anomalies even in an unlabelled network traffic. The last part of the thesis describes implementation of the algorithm, as well as experiments performed using the resulting application on real NetFlow data.
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Automation of ordering system errors
Bažant, Milan ; Stojanov, Marek (referee) ; Kříž, Jiří (advisor)
The bachelor thesis focuses on the creation of the automatic error cleansing software which clears the errors generated by the ordering system. Based on the error analysis (e.g. their causes and possibilities of their correction) the software enables the automatic error correction without the necessity of any manual action resulting in minimal delay of customers’ orders.
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