© 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

We

b A

PI

Elastic

Search

Escort Ad

and Forum

Websites

Amazon S3

Ad

s &

Fo

rum

s

Ph

oto

s

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

150KADS PER DAY

65MADS IN SPOTLIGHT

SINCE OCTOBER 2014

400MIMAGES IN

SPOTLIGHT

THE #1 WEB-BASED DOMESTIC SEX TRAFFICKING

INVESTIGATIONS TOOL FOR LAW ENFORCEMENT

LAW ENFORCEMENT

OFFICERS USE SPOTLIGHTFEDERAL, 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 ShotSpotterPublic 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%DECREASEgunfire incident

volume

2015 National Gunfire Index report

SENSOR

SENSORSENSOR

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 InvestigatorNotification

API

Security

Auth

entication

Unstr

uctu

red D

ata

Sto

rage

Monitoring

Sensor Sensor Sensor Sensor Sensor

Architectural starting point

Private cloud deployment

Mobile Carrier

Machine-2-Machine

Private Network

Public

InternetSST 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!