International Revenue Sharing Fraud (IRSF) is the most persistent type of fraud within the telecom industry. Fraudsters often utilize illegal resources to gain access to an operator’s network in order to bring traffic to phone numbers obtained from an International Premium Rate Number provider.
This is the most challenging fraud to eliminate due to the complexity of the mobile network system and the involvement of multiple operators, usually its perpetuated by organized groups using illegal connections to bring a large volume of calls into high cost 'revenue share' service numbers, taking advantage on the roaming capabilities of SIM cards.
Mobileum's Revenue Share fraud solution is an already pre-configured Fraud Management Application, which allows you to audit and control all traffic CDRs generated at the network switches combined with the use of near real-time exchange of records on both voice and data, providing the detailed data required to detect complex and elusive fraud patterns quickly, allowing to reduce fraud detection time and losses typically by 90% or more.
Yates Fraud Consulting, in partnership with Mobileum makes possible for RAID to hold a database with over 90,000 IRS test numbers.
Used as a list along with GSMA High Risk Range List, these numbers are effective at identifying potential RSF incidents before they start. The list covers virtually all destinations and it's automatically updated every 4 weeks to keep the database current.
Revenue Share Fraud is a lot more difficult to detect as the numbers in RSF usually are not part of the national numbering plans, this increases the difficulty of identifying the called numbers as premium rate services and monitoring hotlists.
Revenue Share Fraud (RSF) causes significant revenue loss to telco businesses.
CSPs need to be a step ahead against these new-age attacks which are getting more sophisticated day by day.
Mobileum has designed a pro-active RSF solution utilizing Artificial Intelligence and machine learning to help you safeguard your revenue and resources against these frauds, by predicting and automatically adapting to the new fraud trends.
At Mobileum we believe that the best approach against telecom fraud is the hybrid one: combining AI/ML models and rules. Rules can be very effective in mitigating fraud risk, and telecom fraud analysts are comfortable with this approach because they can utilize human intelligence and set common-sense parameters for the telecom business. However, not having the right rule in place can result in false positives, false negatives or even a fraudulent attack getting below the radar. Unlike rules, machine-learning models can account for changing fraudulent behaviors as they evolve over time.
By leveraging our security and fraud management products – plus a good measure of expertise – Mobileum gives customers a way to manage threats in real-time; providing an added layer of protection, even in the most secure environments.
International Revenue Share Fraud (IRSF) is attractive to criminals because of the inherently low risk of the attack. It can be performed at a distance and the received money comes from re-directing the inter-carrier billing for expensive telecom traffic.
Since these frauds can be executed against the internet of things (IoT), the sheer number of devices that can be possibly involved has to be considered. When originated from IoT-critical infrastructures, and is consequently blocked as fraud, the IoT-enabled deployments would go silent.
Therefore, organizations that are using telecoms in operations should improve their security and fraud prevention posture to ensure the continuity of services, RAID allows CSPs to secure the new complex environments of IoT.
PBX/IP PBX hacking and IRSF have become the new and preferred fraud combination used by fraudsters. Mobile operators upload lists of 'hot numbers' to block known fraudsters, nevertheless, the only way to fight attack combinations like this is with real-time defense using machine learning solutions to process vast data lakes of network and customer data.
RAID RSF protects the network in real-time with predictive analytics and machine learning, the network is protected from new vulnerabilities, protecting networks from fraud which can no longer rely on using rules/thresholds, when fraudsters are using AI to commit fraud and change their behavior in real-time.
