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Social Network Analysis using methods of pattern recognition
Križan, Viliam ; Burget, Radim (oponent) ; Atassi, Hicham (vedoucí práce)
The diploma thesis deals with emotion recognition from texts on social media. The state-of-the-art methods of feature extraction, corpora and classifiers are described in the first section. Emotions are recognized by a classifier trained on annotated data from the microblog network Twitter. The advantage of using Twitter was the possibility to specify data collection to a certain geographical location. Geographical data allows to monitor emotional variations of population, for e.g. in different cities. The first task was to propose and develop a Baseline algorithm which classifies data to emotional classes. The classification accuracy is improved by employing a more complex SVM classifier. SVM classifiers, feature vectorizers and feature selectors are used from the Scikit library, which is written in Python. The data for classifier training were collected from the USA by the own developed mining application. The classifier are trained on data automatically annotated in the collection process. Two implementations of SVM classifiers are used. Final classified emotions that appear in different cities and in different time intervals are displayed as color markers on a map.
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Authentication using a mobile phone
Križan, Viliam ; Hajný, Jan (oponent) ; Malina, Lukáš (vedoucí práce)
Bachelor’s thesis describes the basics of authentication methods by knowledge, used authentication tokens and biometric ways of authentication. It discusses the capabilities of the individual methods designed for mobile phones. It covers the basic security in the GSM network (using SIM cards) and usage of authentication based on passwords, PIN codes, gestures, facial recognition and speech recognition. Thesis evaluates individual methods in terms of success and performance. It discusses the usage possibilities of authentication methods on the Android platform, where it provides the options of modular arithmetic operations of cryptographic primitives. The work evaluates the time consumption of modular arithmetic operations on the mobile phones with created application. It also lists available algorithms of symmetric and asymmetric ciphers, one-way hashes on the Android platform. The section of authentication protocol conception writes about protocol based on zero-knowledge proof, which authenticates users anonymously. It also proposes the transfer of calculated authentication variables using NFC technology. The protocol also supports the revocation of malicious users. The goal of the thesis was to create two applications that have implemented the selected authentication protocol. The first application designed for users, runs on mobile phones with Android operating system. Application calculates the authentication variables using authentication parameter which it loads from secure element of the phone. After calculations it sends the authentication variables via NFC reader (connection phone – reader). NFC reader is connected to the second application, which verifies the user’s authentication variables and decides the conclusion of authentication. The last part of thesis is devoted to testing the developed applications and running them on the devices. It evaluates the security of the authentication protocol, usage of the phone’s secure element and a security of the transmission over NFC.
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Processes Supporting Decision-Making
Križan, Viliam ; Uher, Václav (oponent) ; Karásek, Jan (vedoucí práce)
This thesis deals with algorithms for supporting decision processes. Firstly, Analytic Hierachy Process (AHP) and Analytic Network Process (ANP) developed by prof. Thomas L. Saaty are described. Basic principles and the implementation in Java programing language of the decision processes are explained. Both processes are then analyzed and their pros and cons and also practical aspect are explained. Secondly, the genetic algorithm NSGA-II developed by Kalyanmoy Deb is described. There are also basic principles and implementation in Java programing language explained. There are finaly the results of NSAG-II algorithm presented.
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Generátor náhodných čísel
Križan, Viliam ; Burda, Karel (oponent) ; Ležák, Petr (vedoucí práce)
Táto diplomová práca sa zaoberá generovaním náhodných čísel a implementáciou generátoru Fortuna v jazyku Java. Práca sa najprv venuje teoretickému zoznámeniu s problematikou generácie náhodných dát. Potom sú v nej popísané a analyzované rôzne zdroje entropie ako pohyb myšou, písanie na klávesnici, zachytávanie šumu pomocou mikrofónu a zachytávanie šumu pomocou webkamery. Analýza sa zaoberá náhodnosťou, použiteľnosťou a objemom získaných dát. Potom je v práci spomínaný teoretický opis generátoru náhodných čísel Fortuna. Na záver je predstavený a popísaný objektový návrh programu Fortuna a sú tu spomenuté aj všetky implementačné detaily s tým súvisiace.
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Authentication using a mobile phone
Križan, Viliam ; Hajný, Jan (oponent) ; Malina, Lukáš (vedoucí práce)
Bachelor’s thesis describes the basics of authentication methods by knowledge, used authentication tokens and biometric ways of authentication. It discusses the capabilities of the individual methods designed for mobile phones. It covers the basic security in the GSM network (using SIM cards) and usage of authentication based on passwords, PIN codes, gestures, facial recognition and speech recognition. Thesis evaluates individual methods in terms of success and performance. It discusses the usage possibilities of authentication methods on the Android platform, where it provides the options of modular arithmetic operations of cryptographic primitives. The work evaluates the time consumption of modular arithmetic operations on the mobile phones with created application. It also lists available algorithms of symmetric and asymmetric ciphers, one-way hashes on the Android platform. The section of authentication protocol conception writes about protocol based on zero-knowledge proof, which authenticates users anonymously. It also proposes the transfer of calculated authentication variables using NFC technology. The protocol also supports the revocation of malicious users. The goal of the thesis was to create two applications that have implemented the selected authentication protocol. The first application designed for users, runs on mobile phones with Android operating system. Application calculates the authentication variables using authentication parameter which it loads from secure element of the phone. After calculations it sends the authentication variables via NFC reader (connection phone – reader). NFC reader is connected to the second application, which verifies the user’s authentication variables and decides the conclusion of authentication. The last part of thesis is devoted to testing the developed applications and running them on the devices. It evaluates the security of the authentication protocol, usage of the phone’s secure element and a security of the transmission over NFC.
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Processes Supporting Decision-Making
Križan, Viliam ; Uher, Václav (oponent) ; Karásek, Jan (vedoucí práce)
This thesis deals with algorithms for supporting decision processes. Firstly, Analytic Hierachy Process (AHP) and Analytic Network Process (ANP) developed by prof. Thomas L. Saaty are described. Basic principles and the implementation in Java programing language of the decision processes are explained. Both processes are then analyzed and their pros and cons and also practical aspect are explained. Secondly, the genetic algorithm NSGA-II developed by Kalyanmoy Deb is described. There are also basic principles and implementation in Java programing language explained. There are finaly the results of NSAG-II algorithm presented.
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Generátor náhodných čísel
Križan, Viliam ; Burda, Karel (oponent) ; Ležák, Petr (vedoucí práce)
Táto diplomová práca sa zaoberá generovaním náhodných čísel a implementáciou generátoru Fortuna v jazyku Java. Práca sa najprv venuje teoretickému zoznámeniu s problematikou generácie náhodných dát. Potom sú v nej popísané a analyzované rôzne zdroje entropie ako pohyb myšou, písanie na klávesnici, zachytávanie šumu pomocou mikrofónu a zachytávanie šumu pomocou webkamery. Analýza sa zaoberá náhodnosťou, použiteľnosťou a objemom získaných dát. Potom je v práci spomínaný teoretický opis generátoru náhodných čísel Fortuna. Na záver je predstavený a popísaný objektový návrh programu Fortuna a sú tu spomenuté aj všetky implementačné detaily s tým súvisiace.
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Social Network Analysis using methods of pattern recognition
Križan, Viliam ; Burget, Radim (oponent) ; Atassi, Hicham (vedoucí práce)
The diploma thesis deals with emotion recognition from texts on social media. The state-of-the-art methods of feature extraction, corpora and classifiers are described in the first section. Emotions are recognized by a classifier trained on annotated data from the microblog network Twitter. The advantage of using Twitter was the possibility to specify data collection to a certain geographical location. Geographical data allows to monitor emotional variations of population, for e.g. in different cities. The first task was to propose and develop a Baseline algorithm which classifies data to emotional classes. The classification accuracy is improved by employing a more complex SVM classifier. SVM classifiers, feature vectorizers and feature selectors are used from the Scikit library, which is written in Python. The data for classifier training were collected from the USA by the own developed mining application. The classifier are trained on data automatically annotated in the collection process. Two implementations of SVM classifiers are used. Final classified emotions that appear in different cities and in different time intervals are displayed as color markers on a map.
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