Thesis Details
Detekce těžení kryptoměn pomocí analýzy dat o IP tocích
This master's thesis describes the general information about cryptocurrencies, what principles are used in the process of creation of new coins and why mining cryptocurrencies can be malicious. Further, it discusses what is an IP flow, and how to monitor networks by monitoring network traffic using IP flows. It describes the Nemea framework that is used to build comprehensive system for detecting malicious traffic. It explains how the network data with communications of the cryptocurrencies mining process were obtained and then provides an analysis of this data. Based on this analysis a proposal is created for methods capable of detecting mining cryptocurrencies by using IP flows records. Finally, proposed detection method was evaluated on various networks and the results are further described.
Nemea, IDS, NetFlow, IPFIX, Cryptocurrency
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Zeman Václav, doc. Ing., Ph.D. (UTKO FEEC BUT), člen
@mastersthesis{FITMT19931, author = "Erik \v{S}ab\'{i}k", type = "Master's thesis", title = "Detekce t\v{e}\v{z}en\'{i} kryptom\v{e}n pomoc\'{i} anal\'{y}zy dat o IP toc\'{i}ch", school = "Brno University of Technology, Faculty of Information Technology", year = 2017, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/19931/" }