Online ISSN: 2515-8260

Keywords : Transaction


THE COMPARATIVE ANALYSIS OF TECHNOLOGIES RELATIONAL DATABASES AND BLOCKCHAIN

Muftakh Khakimov

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 404-413

In article the author results the analytical analysis of analogies and differences between two dynamical technologies - relational databases and blockchainа. If the technology of relational databases was applied at construction of information systems of the electronic government, technology blockchainа rather new to digital economy being the new engine of the electronic government. The comparative analysis of these technologies on several parametres is carried out, are specified their strong and weaknesses. Primary factors on which the technology choice should be carried out, depending on the purposes of solved problems in digital economy are specified.

Detecting Fraud in Transactions Using Diversity in Behavior

Y. Dasaratha Rami Reddy; T. Poovizhi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 2164-2170

Transaction fraud is predominant nowadays as many people prefer shopping through online. This made the research on detecting fraud to become an important part of research at present times. Based on records of transaction of several users, Bp (Behavioral Profile) is extracted and then verification takes place in order to find the frauds occurring. Usage of Markov models does not give relevant results, thus making unsuitable to use in such scenarios. Attributes from several transaction records are classified in the proposed system to represent a graph like structure. The probability of path from one attribute to another is calculated along with computation of diversity of several different users behaviors in transaction. For every user a Bp is constructed and is verified whether the transaction is allowed incoming or not to detect the fraud. The experimental results show the efficacy of the system.