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Deanonymization Heuristics for Cryptocurrencies
Anton, Matyáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
The cryptocurrencies are growing more and more popular, both due to their independency on institutions and the feeling of anonymity they provide. This is, however, also accompanied by an increasing number of their abuse for criminal activities. This thesis explores the principles of current cryptocurrencies as well as techniques used for increasing anonymity of their usage. Based on the findings, it proposes a solution attemping to deanonymise activity in select cryptocurrencies.
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Cryptocurrency
Šelinga, Martin ; Komosný, Dan (referee) ; Zeman, Václav (advisor)
In this bachelor thesis are analyzed elementary cryptographical techniques which are used among others also in cryptocurrencies. In second part is analysis and detail description of most used cryptocurrencies. In last part is description of simple web application which will demonstrate function of cryptocurrencies.
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Activity Alarm for Cryptocurrency Blockchains
Vokráčko, Lukáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
Cryptocurrencies are becoming popular and the demand for monitoring transactions inside them increases alongside with it. In this thesis, I describe few of the most widespread cryptocurrencies built on top of a blockchain and how to obtain information of their transactions in order to raise alarms. I discuss existing solutions and describe application Cryptoalarm designed for monitoring transactions involving specific addresses in order to raise alarms. Cryptoalarm scans blockchains of cryptocurrencies such as Bitcoin, Bitcoin Cash, Litecoin, Zcash, Dash, Ethereum and raises alarms about address activities in real-time.
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Cryptocurrencies Blockchain Analysis
Očenáš, Martin ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
This thesis describes important existing cryptocurrencies and their basis principles. Especially it describes differences between this cryptocurrencies and theid basis principles. Also describes posibilites for analysis of Bitcoin blockchain. Next part describes improvments of tool for blockchain analysis. Futher it describes cryptocurrency analyzing tool, and it's implemented extensions.
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Kryptomeny
Baran, Mojmír
Baran, M. Cryptocurrencies. Bachelor thesis. Brno: Mendel University, 2009. The aim of the bachelor thesis is to evaluate the potential usability of crypto-currencies as a financial instrument. The thesis deals with three selected crypto-currencies: Bitcoin, Litecoin and Ripple. The theoretical basis of work is focused on presentation of each cryptocurrency and the basic principles of their functio-ning. The empirical part of the thesis contains an analysis of the price development on the basis of which the impacts on the value of the cryptocurrencies are identifi-ed along with calculation of the indices of the investment triangle and the sharpe ratio for each of the cryptocurrencies while providing a subsequent evaluation.
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Deanonymization Heuristics for Cryptocurrencies
Anton, Matyáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
The cryptocurrencies are growing more and more popular, both due to their independency on institutions and the feeling of anonymity they provide. This is, however, also accompanied by an increasing number of their abuse for criminal activities. This thesis explores the principles of current cryptocurrencies as well as techniques used for increasing anonymity of their usage. Based on the findings, it proposes a solution attemping to deanonymise activity in select cryptocurrencies.
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Examining the relationships among cryptocurrencies using Google Trends
Heller, Michael ; Krištoufek, Ladislav (advisor) ; Džmuráňová, Hana (referee)
The topic of our thesis is the examination of the relationships among cryptocur- rencies using Google Trends. In our thesis, we concentrated on four cryptocur- rencies, namely: Bitcoin, Litecoin, Ethereum Classic and Ethereum. We obtained the data of daily opening prices, daily trading volumes and daily Google Trends queries in order to examine the relationships among the four cryptocurrencies. Applying the Vector autoregression model and Vector error correction model, we constructed four models. The first model contains only four time series of daily prices of cryptocurrencies. The second model is the first model enriched by the respective four time series of Google Trends queries. The third model contains the four time series of daily trading volumes of the four cryptocurrencies. The fourth model is the third model enriched by the four time series of Google Trends queries of respective cryptocurrencies. Then we applied the Impulse response analysis and the Forecast error variance decomposition in order to find some relationships among the variables. We found that there is some correlation among prices, volumes and Google Trends queries containing the names of the four cryptocurrencies. According to our results acquired by the Forecast error variance decomposition, in all our models, Bitcoin has the...
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Activity Alarm for Cryptocurrency Blockchains
Vokráčko, Lukáš ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
Cryptocurrencies are becoming popular and the demand for monitoring transactions inside them increases alongside with it. In this thesis, I describe few of the most widespread cryptocurrencies built on top of a blockchain and how to obtain information of their transactions in order to raise alarms. I discuss existing solutions and describe application Cryptoalarm designed for monitoring transactions involving specific addresses in order to raise alarms. Cryptoalarm scans blockchains of cryptocurrencies such as Bitcoin, Bitcoin Cash, Litecoin, Zcash, Dash, Ethereum and raises alarms about address activities in real-time.
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Cryptocurrencies Blockchain Analysis
Očenáš, Martin ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
This thesis describes important existing cryptocurrencies and their basis principles. Especially it describes differences between this cryptocurrencies and theid basis principles. Also describes posibilites for analysis of Bitcoin blockchain. Next part describes improvments of tool for blockchain analysis. Futher it describes cryptocurrency analyzing tool, and it's implemented extensions.
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