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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Sri Elaprolu - Global Lead, Public Sector IoT, Amazon Web Services
Kristin Boorse - Sr. Product Manager, Thorn
Paul Ames - SVP, Products and Technology, SST, Inc. (ShotSpotter)
November 29, 2016
MBL 206
AWS Customers Saving Lives with
Mobile and IoT Technology
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kristin Boorse
November 2016
Using Machine Learning and Natural Language Processing
to Combat Human Trafficking: Going Mobile
Spotlight
OUR MISSION
THORN
DRIVES TECHNOLOGY
INNOVATION TO FIGHT CHILD
SEXUAL EXPLOITATION.
THE PROBLEM
MORE THAN 200,000 NEW ADS POSTED EVERY DAY IN
THE U.S. ON SEX CLASSIFIED SITES
*Thorn Survivor Survey (2012)
OF THE UNDERAGE SEX TRAFFICKING VICTIMS SAID
THEY HAD BEEN ADVERTISED OR SOLD ONLINE*
LAW ENFORCEMENT DOESN’T HAVE ENOUGH
TIME TO NAVIGATE THE ONLINE COMMERCIAL
SEX MARKET TO FIND CHILDREN AND IDENTIFY
THEIR TRAFFICKERS.
2OO,OOO+
To provide law enforcement with intelligence and leads about suspected human trafficking networks and
individuals in order to identify victims and connect them with resources.
MISSION
POWERED BY THORN AND DIGITAL REASONING
TRAFFICK ANALYSIS
Spotlight Ad Data elements
Spotlight Data Processing Architecture
Elastic
Search
WebAPI
Elastic
Search
Escort Ad
and Forum
Websites
Amazon S3
Ads&
Forums
Photos
Amazon SNS Amazon SQS
ZData
Jetway
Core AnalyticsETL
Natural Language Processing
Phone Decoder
Language Flags (e.g.
Control)
Image Analysis
drxml
Global Analytics
Networks
Interstate Flag
Alerting
Architecture
Deconstructing A Sex Trafficking Ad
Title – Tag Line
Ad copy details
Ad copy details
Ad copy details
Ad copy details
Phone Number Normalization
sevenfivefourthree zero seveneightseveneigthsix
(754)307-8786
Image Processing
HASHED
X
XY
XYZ
Flagging Ads
Analysis of ad copy based on risk profiles provided by law enforcement. Enables
the ability to filter based on particular targets.
MASSAGE CONTROL IMMATURE INTERSTATE CONTROL
Going Mobile
SPOTLIGHT DATA ASSETS
150K
ADS PER DAY
65M
ADS IN SPOTLIGHT
SINCE OCTOBER 2014
400M
IMAGES IN
SPOTLIGHT
THE #1 WEB-BASED DOMESTIC SEX TRAFFICKING
INVESTIGATIONS TOOL FOR LAW ENFORCEMENT
LAW ENFORCEMENT
OFFICERS USE SPOTLIGHT
FEDERAL, STATE &
LOCAL AGENCIES
850+3,200+
ALL 50 STATES &
WASHINGTON D.C.
SPOTLIGHT
IMPACT
SURVEY
2,888 SURVEY RECIPIENTS
12 MONTHS
728 RESPONDENTS
25% RESPONSE RATE
VICTIMS
IDENTIFIED
6,325
HUMAN TRAFFICKING
INVESTIGATIONS
7,442
JUVENILE VICTIMS
IDENTIFIED
1,980
ADULT VICTIMS
IDENTIFIED
4,345
KIDS A DAY5+
TRAFFICKERS
IDENTIFIED
2,186
*SEPTEMBER 2016 SURVEY - LAST 12 MONTHS IMPACT
LOOK HOW FAR WE’VE COME….
* Thorn September 2016 user survey [25% response rate]
60%
DAILY SPOTLIGHT USERS
REPORT A 60% TIME SAVINGS IN
HUMAN TRAFFICKING
INVESTIGATIONS
BEFORE SPOTLIGHT AFTER SPOTLIGHT
”
Spotlight is a force multiplier at every stage of the operation. We can
use this tool to gather intelligence and plot trends prior to conducting
an operation, during the operation we can allocate resources effectively
and tighten our investigative vision to have the greatest immediate
impact… Federal Agent, Hawaii
”
A juvenile runaway was kidnapped from Dallas and taken to Houston
where she was forced to stay in motels under armed guard. Her picture
was put on backpage.com along with a kidnapper's phone number. We
identified one of the "johns" who raped the juvenile and identified all of the
phone numbers that he called with a search warrant. We ran all of the
phone numbers through spotlight until we found the backpage.com ads
that listed the juvenile victim. We also gained our only lead on who the
kidnappers were through the backpage.com account.
Investigator Bocks, Houston PD
Thank you!
Facebook.com/wearethorn
Twitter: @thorn
Kristin Boorse
Senior Product Manager
480.600.1468
kristin@wearethorn.org
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Paul Ames
November 2016
SST ShotSpotter
Public Cloud Migration
CRITICALLY IMPORTANT
but not very well understood,
about urban gun violence
and INSIGHTFUL,
FACTS
there are 100 gunshot incidents
For every 1 homicide and 7 gunshot wounds,
For every 100 gunshot incidents,
there are only 10 to 20 calls for service
70% of the shootings are driven by
very few individuals
ShotSpotter cities experienced an
average 35% DECREASE
in gunfire incident volume
in the first two years of use
35%
DECREASE
gunfire incident
volume
2015 National Gunfire Index report
SENSOR
SENSOR
SENSOR
SENSOR
911 DISPATCH
GUNSHOT
ShotSpotter sensor array
Gunshot location
251 m
432 m
546 m
Raw
Incidents
Raw
Incidents
Raw
Incidents
Sensor
Location
Machine Classification
Human Classification
Incident Publisher
Email SMSAdminReviewer Patrol Investigator
Notification
API
Security
Authentication
UnstructuredDataStorage
Monitoring
Sensor Sensor Sensor Sensor Sensor
Architectural starting point
Private cloud deployment
Mobile Carrier
Machine-2-Machine
Private Network
Public
Internet
SST Private Cloud West Coast (Colo)
SST Private Cloud East Coast (Colo)
Email
SMS
Admin
Reviewer
Patrol
Investigator
Notification
API
City A
Sensor Array
Campus
Sensor Array
City B
Sensor Array
City C
Sensor Array
Commodity x86, VMWare
Hybrid cloud deployment exploration
Mobile Carrier
Machine-2-Machine
Private Network
Public
Internet
Public Cloud - Lift & Shift
SST Private Cloud West Coast (Colo)
SST Private Cloud East Coast (Colo)
Email
SMS
Admin
Reviewer
Patrol
Investigator
Notification
API
City A
Sensor Array
Campus
Sensor Array
City B
Sensor Array
City C
Sensor Array
Commodity x86, VMWare
Phase 1 implementation
Mobile Carrier
Machine-2-Machine
Private Network
Public
Internet
AWS Public Cloud
SST Private Cloud West Coast (Colo)
SST Private Cloud East Coast (Colo)
Email
SMS
Admin
Reviewer
Patrol
Investigator
Notification
API
City A
Sensor Array
Campus
Sensor Array
City B
Sensor Array
City C
Sensor Array
Commodity x86, VMWare
Amazon EC2/CentOS,
Amazon ECS/Docker, ALB,
Amazon VPC, Amazon Route 53
Microservices: Node.js, MongoDB,
Reddis, RabbitMQ, APNS & GCM
Web
Mobile
Mobile
Thank you!
Questions?
Remember to complete
your evaluations!

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AWS re:Invent 2016: AWS Customers Saving Lives with Mobile and IoT Technology (MBL206)

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Sri Elaprolu - Global Lead, Public Sector IoT, Amazon Web Services Kristin Boorse - Sr. Product Manager, Thorn Paul Ames - SVP, Products and Technology, SST, Inc. (ShotSpotter) November 29, 2016 MBL 206 AWS Customers Saving Lives with Mobile and IoT Technology
  • 2. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Kristin Boorse November 2016 Using Machine Learning and Natural Language Processing to Combat Human Trafficking: Going Mobile Spotlight
  • 3. OUR MISSION THORN DRIVES TECHNOLOGY INNOVATION TO FIGHT CHILD SEXUAL EXPLOITATION.
  • 4. THE PROBLEM MORE THAN 200,000 NEW ADS POSTED EVERY DAY IN THE U.S. ON SEX CLASSIFIED SITES *Thorn Survivor Survey (2012) OF THE UNDERAGE SEX TRAFFICKING VICTIMS SAID THEY HAD BEEN ADVERTISED OR SOLD ONLINE* LAW ENFORCEMENT DOESN’T HAVE ENOUGH TIME TO NAVIGATE THE ONLINE COMMERCIAL SEX MARKET TO FIND CHILDREN AND IDENTIFY THEIR TRAFFICKERS. 2OO,OOO+ To provide law enforcement with intelligence and leads about suspected human trafficking networks and individuals in order to identify victims and connect them with resources. MISSION
  • 5. POWERED BY THORN AND DIGITAL REASONING
  • 7. Spotlight Ad Data elements
  • 8. Spotlight Data Processing Architecture Elastic Search WebAPI Elastic Search Escort Ad and Forum Websites Amazon S3 Ads& Forums Photos Amazon SNS Amazon SQS ZData Jetway Core AnalyticsETL Natural Language Processing Phone Decoder Language Flags (e.g. Control) Image Analysis drxml Global Analytics Networks Interstate Flag Alerting
  • 10. Deconstructing A Sex Trafficking Ad Title – Tag Line Ad copy details Ad copy details Ad copy details Ad copy details
  • 11. Phone Number Normalization sevenfivefourthree zero seveneightseveneigthsix (754)307-8786
  • 13. Flagging Ads Analysis of ad copy based on risk profiles provided by law enforcement. Enables the ability to filter based on particular targets. MASSAGE CONTROL IMMATURE INTERSTATE CONTROL
  • 14.
  • 15.
  • 17. SPOTLIGHT DATA ASSETS 150K ADS PER DAY 65M ADS IN SPOTLIGHT SINCE OCTOBER 2014 400M IMAGES IN SPOTLIGHT
  • 18. THE #1 WEB-BASED DOMESTIC SEX TRAFFICKING INVESTIGATIONS TOOL FOR LAW ENFORCEMENT LAW ENFORCEMENT OFFICERS USE SPOTLIGHT FEDERAL, STATE & LOCAL AGENCIES 850+3,200+ ALL 50 STATES & WASHINGTON D.C.
  • 19. SPOTLIGHT IMPACT SURVEY 2,888 SURVEY RECIPIENTS 12 MONTHS 728 RESPONDENTS 25% RESPONSE RATE VICTIMS IDENTIFIED 6,325 HUMAN TRAFFICKING INVESTIGATIONS 7,442 JUVENILE VICTIMS IDENTIFIED 1,980 ADULT VICTIMS IDENTIFIED 4,345 KIDS A DAY5+ TRAFFICKERS IDENTIFIED 2,186 *SEPTEMBER 2016 SURVEY - LAST 12 MONTHS IMPACT
  • 20. LOOK HOW FAR WE’VE COME…. * Thorn September 2016 user survey [25% response rate] 60% DAILY SPOTLIGHT USERS REPORT A 60% TIME SAVINGS IN HUMAN TRAFFICKING INVESTIGATIONS BEFORE SPOTLIGHT AFTER SPOTLIGHT
  • 21. ” Spotlight is a force multiplier at every stage of the operation. We can use this tool to gather intelligence and plot trends prior to conducting an operation, during the operation we can allocate resources effectively and tighten our investigative vision to have the greatest immediate impact… Federal Agent, Hawaii ” A juvenile runaway was kidnapped from Dallas and taken to Houston where she was forced to stay in motels under armed guard. Her picture was put on backpage.com along with a kidnapper's phone number. We identified one of the "johns" who raped the juvenile and identified all of the phone numbers that he called with a search warrant. We ran all of the phone numbers through spotlight until we found the backpage.com ads that listed the juvenile victim. We also gained our only lead on who the kidnappers were through the backpage.com account. Investigator Bocks, Houston PD
  • 22. Thank you! Facebook.com/wearethorn Twitter: @thorn Kristin Boorse Senior Product Manager 480.600.1468 kristin@wearethorn.org
  • 23. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Paul Ames November 2016 SST ShotSpotter Public Cloud Migration
  • 24. CRITICALLY IMPORTANT but not very well understood, about urban gun violence and INSIGHTFUL, FACTS
  • 25. there are 100 gunshot incidents For every 1 homicide and 7 gunshot wounds,
  • 26. For every 100 gunshot incidents, there are only 10 to 20 calls for service
  • 27. 70% of the shootings are driven by very few individuals
  • 28. ShotSpotter cities experienced an average 35% DECREASE in gunfire incident volume in the first two years of use 35% DECREASE gunfire incident volume 2015 National Gunfire Index report
  • 31. Raw Incidents Raw Incidents Raw Incidents Sensor Location Machine Classification Human Classification Incident Publisher Email SMSAdminReviewer Patrol Investigator Notification API Security Authentication UnstructuredDataStorage Monitoring Sensor Sensor Sensor Sensor Sensor Architectural starting point
  • 32. Private cloud deployment Mobile Carrier Machine-2-Machine Private Network Public Internet SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare
  • 33. Hybrid cloud deployment exploration Mobile Carrier Machine-2-Machine Private Network Public Internet Public Cloud - Lift & Shift SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare
  • 34. Phase 1 implementation Mobile Carrier Machine-2-Machine Private Network Public Internet AWS Public Cloud SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare Amazon EC2/CentOS, Amazon ECS/Docker, ALB, Amazon VPC, Amazon Route 53 Microservices: Node.js, MongoDB, Reddis, RabbitMQ, APNS & GCM Web Mobile