Study to use NEO4J to analysis and detection SIM-BOX fraud

Abstract

The high price of incoming international calls is a common method of subsidizing telephony infrastructure in the developing world. Accordingly, international tele- phone system interconnects are regulated to ensure call quality and accurate billing. High call tariffs create a strong incentive to evade such interconnects and deliver costly international calls illicitly. Specifically, adversaries use VoIP-GSM gateways informally known as “simboxes” to receive incoming calls over wired data connections and deliver them into a cellular voice network through a local call that appears to originate from a customer’s phone. In this paper, we analyze and compare known methods of fraud detection (sim-box), explaining the advantages and defects for each method and proposed a new method. System relies on analyze CDR files using data mining technology (Neo4j), and then use known method TCG (test call generation) to increase efficiency and to be more sure to results.