Q4 FY21

Telecom Fraud Alerts

IMPORTANT UPDATES

Total suspected fraudulent numbers reported in the month of January, February, March: 34098

Number of countries reported for fraudulent traffic in January: 25

Number of countries reported for fraudulent traffic in February: 68

Number of countries reported for fraudulent traffic in March: 108

Source: Subex's MS Center of Excellence (CoE)

Top 10 Fraudulent Traffic Destinations

January

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February

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March

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Source: Subex's MS Center of Excellence (CoE)

Top Fraud Incidents Reported by Fraud Type

Source: Subex's MS Center of Excellence (CoE)

TELECOM FRAUDS REPORTED

Caller ID spoof used in elaborate phone scam in East Goshen Township

The Westtown-East Goshen Regional Police Department is investigating several reports of automated phone calls to verify sewer payment, with the caller ID displaying the source of the call as East Goshen Township.

SOURCE LINK

Mobile Money Association issues fraud alert

The Mobile Money Association of Ghana (MMAG), a group of Merchants, on Thursday cautioned its members against the activities of fraudsters in the wake of the recent spike in criminal activities.

SOURCE LINK

250% increase in proportion of scam and nuisance calls

A 250% increase in the proportion of nuisance and scam calls has been recorded as fraudsters exploit the coronavirus crisis.

SOURCE LINK

Kenyan police arrest 6 SIM swap fraud suspects

Kenyan detectives from the Directorate of Criminal Investigations (DCI) have arrested six suspects in Nairobi alleged to be part of a SIM swap fraud syndicate.

SOURCE LINK

OUR RECENT BLOGS

Combatting Wangiri Fraud using Blockchain technology

With Wangiri Fraud continuing to haunt telecom operators even today, it is the need of the hour is that telco fraud management systems have access to real-time information on hotlists to address this fraud and avoid revenue losses.

5 ways for telcos to minimize the impact of scam calls and messages

More than 50% of the calls made to mobile phones today are scam calls, according to recent research. These scam calls have grown exponentially in the last decade. With technological advances, scamsters are also evolving and finding newer ways to lure customers.

Why ML-based fraud detection is the way forward for Telco Fraud Management?

In this blog, an industry expert Joseph Nderitu takes us through the evolution of fraud across recent years and how AI/ML can be the game-changer in our fight against this persistent threat.

Why SIM Box Fraud is Still Rampant in Africa

Despite efforts taken by telcos to curb this long-standing SIM Box issue, it continues to be a significant fraud in most parts of the world, especially in Africa. This blog talks about the various factors contributing to this and how incorporating advanced technologies can combat this menace.

OUR RECENT POINT OF VIEWS

The Need to Adopt an Integrated Approach to Mitigate Revenue and Fraud Risks

Today’s digital climate requires CSPs to be constantly vigilant to mitigate vulnerabilities, ensure margin control, and maintain business sustainability. This kind of comprehensive vigilance requires an integrated approach that reinforces the strength of the revenue assurance system with fraud management systems.

SOURCE LINK

Battling Wangiri Fraud: Need for a Proactive Counter-Strategy

Wangiri Fraud is considered as one of the top 5 fraud methods used by fraudsters to carry out fraudulent activities and is said to evolve further. This has led to revenue and reputational losses for the telcos. With traditional approaches contributing little to curb this menace, it is time to adopt a proactive mechanism to combat this fraud type.

SOURCE LINK

The Need for Telcos to Pay Attention to Handset Fraud

With shrinking margins from the traditional business, Handset/Device sales have become an increasingly important contributor to the Telecom operator’s overall revenue in recent years. But this new revenue stream has also enabled fraudsters to exploit the associated loopholes using various fraud techniques.

SOURCE LINK

Addressing SIM Box Fraud with Machine Learning

SIM Box Fraud has been recognized by the telecoms industry as the toughest fraud problem operators currently face, resulting in huge revenue loss, as well as reputational and customer experience impact. With traditional approaches and regulatory intervention contributing little to curb this menace, it is time to adopt new fraud combatting techniques.

SOURCE LINK