Donors have distrust about how donated money is spent. Currently, blockchain technology is being implemented in different sectors. Blockchain technology allows you to make the process of donations and transactions of funds transparent. Single platform for tracking donations that will track all information about donations, transactions and donors need to be developed. This paper considers description of implementation of the platform for tracking donations based on blockchain technology. The System offers transparent accounting of operations donors, charitable foundations and recipients based on blockchain technology, charitable platform should provide transparent donation route, enable public users and donors to track and monitor where, when and to whom went resources of charity funds.

Modern software development faces many challenges nowadays. In order to avoiding, minimizing, and monitoring the risks and their impact, it is important to identify, estimate and evaluate the risks. The study addresses software risk management in software development area. An approach to analysis, structuring, and usage is proposed for the information technology (IT) projects in the risk management context. It is based on the study of the existing theoretical knowledge and practices and examples of better management. The author provides recommendations on software risk management and gives a brief overview of the automated software tools.

Privacy enhancing technologies (PETs) are ubiquitous nowadays. They are beneficial for a wide range of users. However, PETs are not always used for legal activity. The present paper is focused on Tor users deanonimization1 using out-of-the box technologies and a basic machine learning algorithm. The aim of the work is to show that it is possible to deanonimize a small fraction of users without having a lot of resources and state-of-the-art machine learning techniques. The deanonimization is a very important task from the point of view of national security. To address this issue, we are using a website fingerprinting attack.