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Advanced methods of Linear Cryptanalysis
Říha, Jan ; Rudolf, Bohuslav (advisor) ; Hojsík, Michal (referee)
In the present work we study advanced methods of linear cryptanalysis. At the beginning, we describe the principle of Matsui's linear cryptanalysis, the two basic algorithms - Algorithm 1 and Algorithm 2, against DES cipher. Further it is described a generalization of linear cryptanalysis and consequently partitioning and statistical cryptanalysis. Then it is followed by a look on the linear approximations over the correlation matrices. Furthermore, we study an improvement of Matsui's Algorithm 2 using Fast Fourier transform, based on circulant matrices theory. Finally we deal multidimensional linear cryptanalysis that uses multiple linear approximations and in the very end we propose an own design of improvement of multidimensional extension of Algorithm 2 by using Fast Fourier transform.
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Financial Risk Measures: Review and Empirical Applications
Říha, Jan ; Šopov, Boril (advisor) ; Krištoufek, Ladislav (referee)
This thesis focuses on several classes of risk measures, related axioms and properties. We have introduced and compared monetary, coherent, convex and deviation classes of risk measures and subsequently their properties have been discussed and in selected cases demonstrated on data. Furthermore the relatively promising and advanced class of risk measures, the spectral risk measures, has been introduced. In addition to that we have outlined selected topics from portfolio theory that are relevant for applications of selected risk measures and then derived theoretical solution of portfolio selection using chosen risk measures. In the end we have highlighted the potential consequences of improper employment of certain risk measures in portfolio optimization.
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House arrest, its execution and control
Říha, Jan ; Tlapák Navrátilová, Jana (advisor) ; Galovcová, Ingrid (referee)
House arrest, its execution and control Abstract By reading this thesis, the reader will acquaint himself with the punishment of house arrest its execution and control and other connected legal concepts. The goal of this thesis is to summarize legislation pertaining to the above mentioned subject matter, to point out its faults and to propose improvements of the current legislation. The first part of this thesis refers to punishment in general. It investigates its core concepts and answers the question on how punishments differ from other legal sanctions. The first part also deals with the purpose of punishment and the system of punishment in framework of Czech criminal law. Alternative punishments, their principles and advantages are subject of the second part of this thesis. Furthermore, here I explore the concept of restorative justice, its principles and how restorative justice relates to alternative punishments. The punishment of house arrest itself is subject of part three of this thesis. Aside from history and current legislation, this part also deals with connected legal concepts which can be characterized as house arrest but are not punishments in legal sense. Moreover, third part is also where I examine various kinds of conversions associated with house arrest. The fourth part of this thesis zooms...
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Systems for file and directory synchronization
Říha, Jan ; Lattenberg, Ivo (referee) ; Pfeifer, Václav (advisor)
Bachelor's thesis is intent on snipping of systems for file and directory synchronization on various platforms. First part is addict to systems for mirroring, version control tools and web storage site. Second section put mind to address service. Third and last chapter apply to practical part with description of author script.
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New features in Java 9 and possibilities of using them in programming courses
Fedorčák, Jaroslav ; Pavlíčková, Jarmila (advisor) ; Říha, Jan (referee)
Nowadays, there are a large number of programming languages with varying degrees of popularity among developers all over the world. Java is one of the leading programming languages, which has been developed for over 25 years and has been gradually adapted to modern programming techniques and new technologies in order to ensure its best usability by the developers. In July 2017, Oracle is to introduce the ninth version of the Java programming language, which represents a big step forward in terms of the design of programs by adding new language elements - modules. Other novelties in the language are, among others, the REPL tool jshell, the extension of the @Deprecated annotation, changes within Collections, and many others. The aim of this thesis is to describe the modularity from the theoretical point of view according to the principles on which it is based and its particular implementation in the language and to propose examples for teaching the use of modules in the Java Programming course at the University of Economics. Also, the aim of this thesis is to describe other novelties in the language which are also useful to include in lessons at the University. The benefits of this thesis will be therefore particular examples and procedures for teaching them, which will be possible - after the official release of Java 9 - to include in the lessons and to familiarize students with these new elements of the language. The thesis consists of three chapters. The first chapter is devoted to a brief presentation of this programming language and the development of its platform during its previous versions. This chapter also contains an extract from the language features published on the OpenJDK website. The second chapter presents the principles and the theoretical basis of modular programming, its implementation in Java 9, and three exercises gradually introducing the use of modularity at different proposed stages of practicing them at seminars. The last chapter briefly presents certain other novelties which are to appear in the language.
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Framework Meteor as a web environment for developing applications
Zvyagintseva, Daria ; Pavlíčková, Jarmila (advisor) ; Říha, Jan (referee)
This bachelor thesis describes framework Meteor as a web environment for developing applications. The main goal of this work is to describe the properties of the framework, to write documentation in the Czech language and to design and develop the own application. The bachelor thesis is divided into the theoretical and practical parts. The theoretical part describes real-time frameworks, node.js frameworks and mainly describes the technical functionality, properties, structure of Meteor framework. Practical part consists of design and developing of own application. The last part of the thesis is the Meteor's assessment whether this platform is applicable for the development of real-time web applications. The main workload is a detailed but simple written overview of the Meteor framework and also a fully functional real-time Web application Nabidni.mi. This bachelor thesis could be used in the future for study purposes at universities or as a tutorial for programmers who are just starting with web application programming. The work is one of a few sources describing the Meteor framework in the Czech language.
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Artificial Intelligence Approach to Credit Risk
Říha, Jan ; Baruník, Jozef (advisor) ; Vošvrda, Miloslav (referee)
This thesis focuses on application of artificial intelligence techniques in credit risk management. Moreover, these modern tools are compared with the current industry standard - Logistic Regression. We introduce the theory underlying Neural Networks, Support Vector Machines, Random Forests and Logistic Regression. In addition, we present methodology for statistical and business evaluation and comparison of the aforementioned models. We find that models based on Neural Networks approach (specifically Multi-Layer Perceptron and Radial Basis Function Network) are outperforming the Logistic Regression in the standard statistical metrics and in the business metrics as well. The performance of the Random Forest and Support Vector Machines is not satisfactory and these models do not prove to be superior to Logistic Regression in our application.
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Financial Risk Measures: Review and Empirical Applications
Říha, Jan ; Šopov, Boril (advisor) ; Krištoufek, Ladislav (referee)
This thesis focuses on several classes of risk measures, related axioms and properties. We have introduced and compared monetary, coherent, convex and deviation classes of risk measures and subsequently their properties have been discussed and in selected cases demonstrated on data. Furthermore the relatively promising and advanced class of risk measures, the spectral risk measures, has been introduced. In addition to that we have outlined selected topics from portfolio theory that are relevant for applications of selected risk measures and then derived theoretical solution of portfolio selection using chosen risk measures. In the end we have highlighted the potential consequences of improper employment of certain risk measures in portfolio optimization.
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