Abstract: With the explosion in the volume of data, it became primordial for businesses and responsible to implement new tools to detect in real time the unusual changes in its communications network to address all security holes. In this sense, one of the most recently used solutions is the migration of relational databases to the directed graph databases, thanks to his capacity to manage huge and complex bases, and his easiness of management of security. It is in this sense that this work is located, whose objective is firstly to model the data as a graph with nodes representing users and arcs represent the connection between users. And secondly to monitor connections of links between the different nodes to facilitate the task to one who will handle this data with the ultimate goal of detecting cases of fraud. Indeed, it is to propose a modeling and conception of a technique to improve the communication network management to monitor and report real-time alerts in the event of fraud.

Souad EZZBADY and Abdelwahed NAMIR, “Contribution to Securing Connections in a Communications Network: Modeling and Conception of a Fraud Detector” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(11), 2016. http://dx.doi.org/10.14569/IJARAI.2016.051104

@article{EZZBADY2016,
title = {Contribution to Securing Connections in a Communications Network: Modeling and Conception of a Fraud Detector},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051104},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051104},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {11},
author = {Souad EZZBADY and Abdelwahed NAMIR}
}