<\/a><\/a><\/a><\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n \r\n \r\n \r\n \r\n 1<\/span>\r\n \u00d7<\/span><\/button><\/p>\r\n Platform for Cryptocurrency Address Collection<\/h3>\r\n <\/div>\r\n \r\n \r\n \r\n Vladislav Bambuch<\/strong><\/p>\r\n web scraping, cryptocurrencies, crypto crime detection, microservices, apache kafka, data streaming<\/em><\/p>\r\n Bezpe\u010dnost<\/span> Po\u010d\u00edta\u010dov\u00e9 s\u00edt\u011b<\/span> Webov\u00e9 technologie<\/span> Zpracov\u00e1n\u00ed dat (obraz, zvuk, text apod.)<\/span> <\/p>\r\n The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n \r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
\u00d7<\/span><\/button><\/p>\r\n Platform for Cryptocurrency Address Collection<\/h3>\r\n <\/div>\r\n \r\n \r\n \r\n Vladislav Bambuch<\/strong><\/p>\r\n web scraping, cryptocurrencies, crypto crime detection, microservices, apache kafka, data streaming<\/em><\/p>\r\n Bezpe\u010dnost<\/span> Po\u010d\u00edta\u010dov\u00e9 s\u00edt\u011b<\/span> Webov\u00e9 technologie<\/span> Zpracov\u00e1n\u00ed dat (obraz, zvuk, text apod.)<\/span> <\/p>\r\n The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n \r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
Vladislav Bambuch<\/strong><\/p>\r\n web scraping, cryptocurrencies, crypto crime detection, microservices, apache kafka, data streaming<\/em><\/p>\r\n Bezpe\u010dnost<\/span> Po\u010d\u00edta\u010dov\u00e9 s\u00edt\u011b<\/span> Webov\u00e9 technologie<\/span> Zpracov\u00e1n\u00ed dat (obraz, zvuk, text apod.)<\/span> <\/p>\r\n The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n \r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
web scraping, cryptocurrencies, crypto crime detection, microservices, apache kafka, data streaming<\/em><\/p>\r\n Bezpe\u010dnost<\/span> Po\u010d\u00edta\u010dov\u00e9 s\u00edt\u011b<\/span> Webov\u00e9 technologie<\/span> Zpracov\u00e1n\u00ed dat (obraz, zvuk, text apod.)<\/span> <\/p>\r\n The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n \r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
Bezpe\u010dnost<\/span> Po\u010d\u00edta\u010dov\u00e9 s\u00edt\u011b<\/span> Webov\u00e9 technologie<\/span> Zpracov\u00e1n\u00ed dat (obraz, zvuk, text apod.)<\/span> <\/p>\r\n The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n \r\n <\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n
The goal of this work is to build a platform for collecting and displaying metadata about cryptocurrency addresses from public and also dark web. To achieve this goal, the author uses web parsing technologies written in PHP. Challenges accompanying a website parsing are solved by scaling capabilities of Apache Kafka streaming platform. The modularity of the platform is accomplished by microservice architecture and Docker containerization. The work creates a unique way how to search for potential crypto criminal activities, that appeared outside of the blockchain world, by building a web page application on top of this platform (that serves for managing the platform and exploring the extracted data). The platform architecture allows adding loosely coupled modules smoothly where the Apache Kafka mediates communication of the modules. The result of this article is meant to be used for cybercrime detection and prevention. Its users can be law enforcement authorities or other agencies interested in reputations of cryptocurrency addresses.<\/p>\r\n <\/div>\r\n
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