روش ﮐﺸﻒ ﺗﻘﻠﺐ در ﭘﺎﯾﮕﺎه داده ﮔﺮاﻓﯽ

Fraud Detection Method in NoSQL Graph Database

اﻣﺮوزه ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﮔﺴﺘﺮش ارﺗﺒﺎﻃﺎت ﺑﺎﯾﺴﺘﯽ ﺣﺠﻢ ﻋﻈﯿﻤﯽ از اﻃﻼﻋﺎت ﺗﻮﻟﯿﺪ، ﻣﺒﺎدﻟﻪ و در ﻧﻬﺎﯾﺖ ذﺧﯿﺮهﺳﺎزي ﺷﻮد. ﺳﯿﺴﺘﻢﻫﺎي ﭘﺎﯾﮕﺎهدادهي راﺑﻄﻪاي، ﻗﺎﺑﻠﯿﺖ ذﺧﯿﺮهﺳﺎزي اﯾﻦ ﺣﺠﻢ از اﻃﻼﻋﺎت را ﻧﺪارﻧﺪ. ﻣﻔﻬﻮم NoSQL ﺑﺮاي ﻣﻮاﺟﻬﻪ ﺑﺎ اﯾﻦ ﻣﺸﮑﻞ در ﺳﺎل 1998 ﺗﻮﺳﻂ ﮐﺎرﻟﻮ اﺳﺘﺮوزي ﻇﻬﻮر ﭘﯿﺪا ﮐﺮد. از اﻧﻮاع ﭘﺎﯾﮕﺎه دادهﻫﺎي NoSQL ﻣﯽﺗﻮان ﺑﻪ ﭘﺎﯾﮕﺎه دادهﻫﺎي ﺳﻨﺪﮔﺮا، ﮐﻠﯿﺪ ﻣﻘﺪار، ﺳﺘﻮن ﻣﺤﻮر و در ﻧﻬﺎﯾﺖ ﭘﺎﯾﮕﺎهﻫﺎي ﮔﺮاﻓﯽ اﺷﺎره ﮐﺮد. در اﯾﻦ ﮐﺎر ﺗﻤﺮﮐﺰ ﻣﺎ ﺑﺮ روي ﭘﺎﯾﮕﺎه دادهﻫﺎي ﮔﺮاﻓﯽ ﺧﻮاﻫﺪ ﺑﻮد. ﭘﺮﮐﺎرﺑﺮدﺗﺮﯾﻦ ﭘﺎﯾﮕﺎه دادهﻫﺎي ﮔﺮاﻓﯽ، ﭘﺎﯾﮕﺎه داده neo4j اﺳﺖ. ﭘﺎﯾﮕﺎهداده ﻣﺬﮐﻮر ﺗﻮﺳﻂ ﺷﺮﮐﺖﻫﺎي ﻣﻌﺮوﻓﯽ از ﺟﻤﻠﻪadobe ,Microsoft , hp , cisco و ﻧﻈﺎﯾﺮ آن اﺳﺘﻔﺎده ﻣﯽﺷﻮد. از ﻣﻬﻢﺗﺮﯾﻦ ﮐﺎرﺑﺮدﻫﺎي ﭘﺎﯾﮕﺎهداده ﻣﺬﮐﻮر ﻣﯽﺗﻮان ﺑﻪ ﻣﺴﺎﻟﻪ ﮐﺸﻒ ﺗﻘﻠﺐ و ﮐﻼﻫﺒﺮداري، ﮐﺎر ﺑﺎ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎ و ﺳﯿﺴﺘﻢﻫﺎي ﺗﻮﺻﯿﻪﮔﺮ، اﺷﺎره ﮐﺮد. در اﯾﻦ ﮐﺎر ﺑﻪ ﺑﺮرﺳﯽ ﺗﻘﻠﺐ اﻓﺰاﯾﺶ ﻗﯿﻤﺖ ﺳﻬﻢ در ﯾﮑﯽ از ﺷﺮﮐﺖﻫﺎي واﺑﺴﺘﻪ ﺑﻪ ﺳﺎزﻣﺎن ﺑﻮرس ﭘﺮداﺧﺘﻪ ﺧﻮاﻫﺪ ﺷﺪ. روﻧﺪ ﮐﺎر ﺑﻪ اﯾﻦ ﺷﮑﻞ اﺳﺖ ﮐﻪ ﻋﻮاﻣﻞ دﺧﯿﻞ در اﻓﺰاﯾﺶ ﻗﯿﻤﺖ ﺳﻬﻢ ﺷﻨﺎﺳﺎﯾﯽ ﺷﺪه ودادهﻫﺎي ﻣﺮﺑﻮﻃﻪ در ﭘﺎﯾﮕﺎه دادهﮔﺮاﻓﯽneo4j ذﺧﯿﺮه ﺷﺪه اﺳﺖ. در ﻧﻬﺎﯾﺖ زﺑﺎن ﭘﺮس وﺟﻮي cypher ﺟﻬﺖ ﺑﺎزﯾﺎﺑﯽ زﻧﺠﯿﺮهﻫﺎي ﺗﻘﻠﺐ ﺑﻪ ﮐﺎر ﮔﺮﻓﺘﻪ ﺷﺪه اﺳﺖ.

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.