SIM Box Fraud - A complete frameworkdgfglobal.com/wp-content/uploads/2018/02/SIM-Box-Fraud-A-comple… · Title: Microsoft PowerPoint - SIM Box Fraud - A complete framework Author:

Ahmad Nadeem Syed

Winning Against SIM Box Fraud is Possible

Winning against SIM Box Fraud is only Possible with a Complete Framework

A Successfully Implemented Formula

Ahmad Nadeem Syed - [email protected]

SIM Box Network

Money Flow

Legal Call Flow

Illegal Call Flow

¢ 2.0

Termination rate ¢ 8.8 LDI Share ¢ 5.0


SIM Box Fraud Management Framework

Collective Responsibility

Capacity Building and

Analytics

Detection Controls

Prevention Controls

SIM fraud control is impossible if a comprehensive framework is not put in place for sustainable success

No vendor can do it alone

No Operator has ever won in isolation

No single solution is could be a winner


Collective Responsibility - SIM Box Steer-Co

SIM Box

Steer-co

RAFM

Lead Role

Corp. Affairs

Technology

Customer Services

Sales

Interconnect

Role of Steer-Co

● Formulation of policies and action plan

● Reviewing progress and Monitoring

● Coordinating with Regulator

● Monthly Monitoring - RACI Matrix with KPIR (Responsible)A (Accountable)C (Consulted)I (Information)


Capacity Building and AnalyticsIn-House

On-net Traffic

Off-net Traffic

International trafficCell Sites

Supply channels

Subscription

SIM Box Info

Fraudsters

Other

Data Feeds


Analytics – Identifying Machine Behavior (Example)

• Calls by a MSISDN per day• Call Interval• Calls to unique numbers• Cell Site• Movement• On-net vs Off-net

Usage

• Recharge per day• Recharge denomination• Recharge platform• Recharge outlet

Recharge

• SIM activation by sales channels• Disowning and reactivation• Activation timings

Activation

Used for

● Identification of Machine Behavior● Profile development● Identification of abnormal Sales Patterns● Other


Human vs Machine Behavior

Grey Traffic

More Cost

SIM Boxer

SuccessThe More they get closer to Human Behavior the more it costs to them in

terms of Capex and Opex

Grey Traffic

Less Cost

SIM Boxer

FailureThe contrary to the above is a failure in curbing grey Traffic


Analytics – Some Sample ReportsA Few Analysis

● International traffic vs Blocking● Revenue per blocked SIM trending● International vs off-net traffic● Grey Traffic quantum analysis● Profile trending● Sales channels trending● Revenue loss trending● TCG vs CDR blocking trends● TCG call termination analysis● Vendor vs In-house blocking analysis● Grey SIM life analysis and trends● Commissions analysis● Traffic trending and analysis by country● Traffic trend by carrier● Recharge analysis by retailer and

platform● Activation by IMEIs and MSISDN● False Positive analysis● Inactive SIM analysis● Others


Detective Framework


Combination of Tools

Tools

CDR

ManualTCG

Solution Provider

In-House


CDR Analysis - Cat and Rat Race

Profile Management

● Fraudsters change their calling pattern very quickly ● Very close coordination with solution provider● Rigorous monitoring and updating on daily basis

Managing False Positive

● A Reality – Management need to be convinced● Maintaining at minimum● Quick restoration mechanism


Test Call Generator

● As a complementary tool and not the primary

● Call originating planning, monthly review and revision

● Regular SIM replacement

● Link analysis and finding the traces

● Very effective in off-net call tracing


Efficient Response Time● Profile Management

o Daily Reviewo Daily update, if required

● Automatic blocking on HLRo TCG – As detectedo CDR – Every 10-30 Minutes

● CRM updating - Parallel● Quick False Positive Restoration


Preventive Framework


SIM BoxerSIM

Boxer

FinancerFinancer

SIM Supplier

SIM Supplier

ActivationActivation

RechargeRecharge

SIM Box Network (In Country)


Cutting the Supply line

No Success unless the Grey SIM Supply Line is cut or made difficult to get

54%

17%

10%12%

4% 4%

0%

10%

20%

30%

40%

50%

60%

0 to 10 11 to 20 21 to 30 31 to 60 61 to 90 > 91

No. of Days Since Active


Grey Sales Channels Reporting

AA61%

XX18%

YY9%

ZZ10%

others2%

Grey Sale Share By Region/Sector

Franchise_ID No. Franchise Name City

A001 1099 ABC AAAA

A002 884 ABC BBBBB

A003 782 ABC CCCCCC

A004 650 ABC DDDDD

A005 520 ABC EEEEEE

A006 508 ABC FFFFFF

A007 355 ABC GGGGG

A008 343 ABC HHHHHH

A009 263 ABC III II I I I

A010 237 ABC JJJJJJJJJJ

Grey Sales - Top 10 Franchisee

Sale ID No.Sales

PersonCity

B001 561 ABC AAAA

B002 382 ABC BBBBB

B003 370 ABC CCCCCC

B004 317 ABC DDDDD

B005 315 ABC EEEEEE

B006 242 ABC FFFFFF

B007 196 ABC GGGGG

B008 195 ABC HHHHHH

B009 191 ABC IIIII I I I

B010 154 ABC JJJJJJJJJJ

Grey Sales - Top 10 Sales Persons


Punitive Actions

● Warnings● Commission claw back● Suspension ● Termination


Know Your Fraudster (KYF) Tool

Hot line, contact and reporting portal for fraudsters info

Maintaining a data base of all SMIs/CNICs, sales Persons involved in

Grey Traffic and other Frauds

Integrated with CRM/BVS giving the ability to block the sales to

fraudsters


Winning Indicators

International Traffic

Grey Traffic Rate

Grey SIM Life

Grey SIM Market Rate

Market Feedback

Shift of Grey via Off-net


Ahmad Nadeem SyedMob: 0092 300 8562871

[email protected]

Documents

SIM Box Fraud - A complete frameworkdgfglobal.com/wp-content/uploads/2018/02/SIM-Box-Fraud-A-comple… · Title: Microsoft PowerPoint - SIM Box Fraud - A complete framework Author: