TELEPHONE PREFERENCE SERVICE: The launch of TPS Protect and the future of Nuisance Call Management.

Transcription

1 NICC London 8 November 2017 Robert Baker European Managing Director First Orion rbaker@firstorion.com TELEPHONE PREFERENCE SERVICE: The launch of TPS Protect and the future of Nuisance Call Management. 1

2 TPS Protect The Launch What Does the App do? Trust Score Unobtrusive 2 How does this enhance the TPS services? Why do this now? Allows TPS registration TPS legislation from 1999 Provides a consolidated complaint flow TPS successfully prevents telemarketing calls ~40% Protect Consumers from scam callers Scam and nuisance calls increasing on mobile. Provide Consumers information about telemarketers Lack of official mobile solutions left market open for many unscrupulous OTTs / OEMs 1 Scam 2

3 TPS Protect - Android version key: In clear Anonymized Register: Number -> Pseudo- Number Data Stored on App - Number - Pseudo-Number If user files a complaint - - Postcode Register Subscribers for TPS Number, , postcode Registration Data, number and date App Data Engine / Subscribers file FONES complaints Calling Party Number CLOUD Contact Details (Dependent on report flow) Contact Number, , Address. Collect call data realtime data TPS Register TPS s Blocks, Approves, Lookups, Reports, Data Calls received, Disposition, Duration, who hung up. 3

4 TPS Protect - IOS Version provides less data key: In clear Anonymized Register: Number -> Pseudo- Number Data Stored on App - Number - Pseudo-Number If user files a complaint - - Postcode Register Subscribers for TPS Number, , postcode Registration Data, number and date App Data Engine / Subscribers file FONES complaints Calling Party Number CLOUD Contact Details (Dependent on report flow) Contact Number, , Address. Collect call data realtime data TPS Register TPS s Blocks, Approves, Lookups, Reports, data 4

5 Big Data Solution producing a score TPS Protect ollectsand analyzes the disparate data points, distilling that data down into comprehensive and insightful consumable output units Selected Raw Data Selected Refined Data Real-time Scores Every 10 Minutes Time of Call R&VT info Peak Day Category Volume Geo Distribution 30-Day Blocks Robo Flag Lookups Total Blocks Peak Hour Answer Rate Volume by Minimum Threshold Failed Call Rate FCC Volume Volume Ratio TelcomFiles (e.g. LERG) Block Ratio Scam Indicators 30-Day Volume Unique Individuals called FCC Robo Flag In Block List Vol Score Block Score Volume Spike Score Answer / Delivery Rates Hourly Nuisance Value Scores Call Duration Data Sources Real-Time Scoring Call Categories Patented Algorithm Data Scientists Informational Call Registry Research & Verification Team 5

6 A glimpse into the future of Scam calls in the UK? 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 6

7 T-Mobile (USA) Scam ID, Scam Block and NAME ID Enable scam notification by default. Allow users to opt-in to scam blocking via feature codes, apps and portals. 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 users Missing ~10 in 1 Million scam calls Over tagging ~2 in 1 million scam calls And Improving Finger Printing technique Passive layer 2 traffic mirror

8 How does this work? Origination options Research team Regulatory Data TDR & Suspicious Traffic INDEPENDEN T THIRD PARTY Cloud Analytics / Scoring / Categorization Connect User reporting through Apps & Portals Protect User Pref erences Run-time updates & Preferences Number activity data 3rd party other Carrier data Carrier Network Termination options Block Alert Answer Traffic mirror Query Response VM ( SIP, CAMEL, INAP, AIN, ISUP, ENUM, HTTP/REST, CNAM ) Carrier Call Processing Flow CAPTCHA or Whisper No Longer Rely on CLI Passive Layer 2 taps allows characteristics of a scam call to be modelled in real-time 8

9 Simplified view Carrier A Create a central independent number reputation database Carrier B Solution that identifies scams regardless of spoofing Level playing field for all carriers Score and Category Call Data aggregate d and anonymize d Carrier D TPS Data Engine Carrier C 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

10 STIR/SHAKEN will help thwart Spoofing. Analytics are a MUST to identify Scams. 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 Not Scam Signed/Verified Good Good Bad Bad Not Signed/Verified Scam M3AAWG 41st General Meeting Toronto October 2017

11 Scammers response to STIR/SHAKEN? SIM Boxes Multi-User VoIP Survey Call Centers PBX/RTP Hacking M3AAWG 41st General Meeting Toronto October 2017

12 This caller is Evil (his number is a tool) 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 M3AAWG 41st General Meeting Toronto October 2017

13 What can I do? Recommend TPS Protect to your mobile customers It is free for scam identification Enhances 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 13 customers