Fraud Detection Method in NoSQL Graph Database

Today, with the expansion of communications, a huge amount of production, exchange and ultimately data storage must be stored. Relational databases do not have the capacity to store this volume of information. The NoSQL concept emerged in 1998 by Carlo Strouzi to deal with this problem. NoSQL database types can include documentary databases, value keys, column-driven and eventually graphic databases. In this work, our focus will be on the graphic database. The most widely used graphic database is the neo4j database. The database is used by famous companies such as Cisco, HP, Microsoft adobe and the like. One of the most important uses of the database is the issue of fraud and fraud detection, work with the internet of things and recommendation systems. This work will investigate the fraud in the share price increase in one of the affiliated companies of the stock exchange. The market price is fluctuating momentarily. But this price change is not always based on the value of the relevant share. There are a number of factors involved in the story that have increased share prices without any added value. This paper examines the factors involved in increasing the share price and preserving relevant data in the neo4j database. Finally, the cypher query language is used to retrieve cheat chains.