Volume : VIII, Issue : III, March - 2018

Big Data: Graphs, Web and Data Security

Youssef Amlal Bajja, Amina El Kebbaj, Abdelwahed Namir

Abstract :

 

With the explosion of data’s volumes, it has become essential for companies to put in place new tools to enable real–time detection of changes in order to make the best decisions. The main objective of this work is to offer an algorithm and a web application based on graphs which its ultimate goal is to secure the data and to detect the frauds within the company. It is in this spirit where is situated this work which consists in giving a clear vision on the utility of Big Data, and its contribution to data security by proposing an algorithm and a web application to detect the frauds and allow the decision maker to react. We will use a new IT tools such as the graph–oriented database Neo4j, the scripting language PHP 5 and JavaScript.

 

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Youssef Amlal BAJJA, Amina EL KEBBAJ, Abdelwahed NAMIR, Big Data: Graphs, Web and Data Security, INDIAN JOURNAL OF APPLIED RESEARCH : Volume-8 | Issue-3 | March-2018

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