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TELEPHONE

PREFERENCE SERVICE:

The launch of TPS

Protect and the future

of Nuisance Call

Management.

NICC London 8 November 2017NICC London 8 November 2017NICC London 8 November 2017NICC London 8 November 2017

Robert BakerRobert BakerRobert BakerRobert Baker

European Managing DirectorEuropean Managing DirectorEuropean Managing DirectorEuropean Managing Director

First Orion First Orion First Orion First Orion

rbaker@firstorion.comrbaker@firstorion.comrbaker@firstorion.comrbaker@firstorion.com

07983612843079836128430798361284307983612843

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TPS Protect TPS Protect TPS Protect TPS Protect –––– The LaunchThe LaunchThe LaunchThe Launch

How does this

enhance the TPS

services?

What Does the App

do ?

Allows TPS registration

Provides a consolidated

complaint flow

Protect Consumers from

scam callers

Provide Consumers

information about

telemarketers

Why do this now?

234 15

Trust ScoreScamUnobtrusive

TPS legislation from 1999

TPS successfully prevents

telemarketing calls ~40%

Lack of official mobile

solutions left market open

for many unscrupulous

OTTs / OEMs

Scam and nuisance calls

increasing on mobile.

App Data Engine / FONES CLOUD

TPS Complaint

s

TPS Register

Register Subscribers for TPS

Subscribers file complaints

Collect call data – realtime

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Number, email, postcode

Complaint data

Registration Data, number and date

Register:Number ->Pseudo- Number

Data Stored on App- Number- Pseudo-Number

If user files a complaint- Email- Postcode

Calling Party Number

Contact Details (Dependent on report flow)

Contact Number, Email, Address.

key:In clearAnonymized

Blocks, Approves, Lookups, Reports, Complaint DataCalls received, Disposition, Duration, who hung up.

TPS Protect - Android version

App Data Engine / FONES CLOUD

TPS Complaint

s

TPS Register

Register Subscribers for TPS

Subscribers file complaints

Collect call data – realtime

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Number, email, postcode

Blocks, Approves, Lookups, Reports, Complaint data

Complaint data

Registration Data, number and date

Register:Number ->Pseudo- Number

Data Stored on App- Number- Pseudo-Number

If user files a complaint- Email- Postcode

Calling Party Number

Contact Details (Dependent on report flow)

Contact Number, Email, Address.

key:In clearAnonymized

TPS Protect - IOS Version – provides less data

Big Data Solution Big Data Solution Big Data Solution Big Data Solution –––– producing a scoreproducing a scoreproducing a scoreproducing a score

Selected Raw Data Selected Refined Data Real-time ScoresEvery 10 Minutes

Complaint

Score

Block

Score

Volume Spike

Score

Answer /

Delivery Rates

Hourly

Nuisance

Value

Scores

30-Day

Volume

Look-

ups

Robo

Complaint

Flag

Peak

Hour

Peak

Day

Unique

Individuals

called

FCC

Complaint

Volume

Complaint

Volume

FCC

Robo

Flag

Time of

Call

Answer

Rate

Call

Duration

Complaint

Ratio

Volume by

Minimum

Threshold

Telcom Files

(e.g. LERG)

R&VT

info

Failed Call Rate

Category

Complaint

Volume

Geo

Distribution

In Block

List Vol

30-Day

BlocksScam Indicators

Block

RatioTotal

Blocks

Data Sources Real-Time Scoring Call Categories

Patented Algorithm Data ScientistsInformational Call

Registry

Research &

Verification Team

TPS Protect ollects and analyzes the disparate data points, distilling that data down into

comprehensive and insightful consumable output units

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A glimpse into the future of Scam calls in the UK?

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Issues today

OTT apps that over-rate calls as scams based on user feedback alone

Carriers doing their own blocking

Lack of transparency – who blocked my calls? – Who do I complain to?

Focus on reducing quantity

Scams the most difficult to protect against but do the most damage

Data is king – the big carriers have an advantage

CLI is meaningless

Enable scam notification by default. Allow users to opt-in to scam blocking via feature codes, apps and portals.

T-Mobile (USA) Scam ID, Scam Block and NAME ID

� ScamID and ScamBlock – all users are eligible

� USSD Code – easy to access

� No application required – all network based

� Reporting & feedback loop for users (web portal)

� Industry Portal to register legitimate numbers

� Report phone harassment directly to the FTC / FCC

Headline numbers / facts

76.5 Million usersMissing ~10 in 1 Million scam calls

Over tagging ~2 in 1 million scam callsAnd Improving

Finger Printing techniquePassive layer 2 traffic mirror

How does this work?

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ConnectConnectConnectConnect

INDEPENDEN

T THIRD PARTY

Research team

User report ing through Apps & Portals

3rd party other Carrier data

User Preferences

Number act ivity data

( SIP, CAMEL, INAP, AIN, ISUP, ENUM, HTTP/REST, CNAM )

Carrier Call Processing Flow

ProtectProtectProtectProtect

Traffic Traffic Traffic Traffic mirrormirrormirrormirror

QueryQueryQueryQuery ResponseResponseResponseResponse

TDR & Suspicious Traffic

Carrier Network

Cloud Analytics / Scoring / Cloud Analytics / Scoring / Cloud Analytics / Scoring / Cloud Analytics / Scoring / CategorizationCategorizationCategorizationCategorization

Run-time updates & Preferences

Termination optionsOrigination options

Block

Alert

Answer

VM

CAPTCHA

or

Whisper

Regulatory Data

No Longer Rely on CLI – Passive Layer 2 taps allows characteristics of a scam call to be modelled in real-time

TPS

Data Engine

Score and Category

Solution that identifies scams

regardless of spoofing

Level playing field for all carriers

Highly transparent – why are my

calls being blocked? One stop shop

Independent solution, carriers no

longer making their own decisions

Consistent with approach in

Canada (CRTC and Carrier

Consortium)

Make use of DoNotOriginate and

industry portal for legitimate

numbers

ABOVE ALL – THIS IS THE BEST

Simplified view

Create a central independent number reputation database

Carrier ACarrier B

Carrier DCarrier C

Call Data aggregated and anonymized

STIR/SHAKEN will help thwart Spoofing. Analytics are a MUST to identify Scams.

M3AAWG 41st General Meeting | Toronto | October 2017

• Phone numbers can be good and bad – at the same time

• SHAKEN does not change this• Fingerprinting/analytics can discern

good from bad in both signed and unsigned traffic

• The same number can make signed good calls, unsigned good calls, and spoofed scam calls

• SHAKEN allows call scoring to be more definitive for verified calls

• If IXCs implement SHAKEN it will be a huge help

• SHAKEN offers protection for good users of good numbers

Signed/VerifiedSigned/Verified

Not Signed/VerifiedNot Signed/Verified

NotScamNotScam

ScamScam

Bad

Good

Good

Bad

Scammers response to STIR/SHAKEN?

M3AAWG 41st General Meeting | Toronto | October 2017

SIM Boxes

PBX/RTP Hacking“Survey” Call Centers

Multi-User VoIP

This caller is Evil (his number is a

tool)

M3AAWG 41st General Meeting | Toronto | October 2017

SHAKEN• Added protection for good callers• Verifies a CLI is not spoofed• Cannot attest to caller intent• Doesn’t prove the caller is who

they say they are• Traceback is a must

Analytics• Needed to identify Scam calls

with or without SHAKEN• Needs to include signaling

fingerprinting• May need to include RTP

fingerprinting in the future

What can I do?

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Recommend TPS Protect to your mobile customersIt is free for scam identificationEnhances the TPS Service by providing

protection

Consider the future for eradicating scam calls• TPS Protect in-network gets better with more data

and the more carriers that use it

• SHAKEN/STIR provides more data but does not solve the problem of scam and nuisance calls on its own

• A shared number reputation database provides the best solution for YOUR customers