Iveta Topalova, Microsoft/IJIS Institute John Daugherty, CIO Montana DOC

The Internet of Corrections Things is an exciting emerging technology that has the potential for improving corrections and saving lives. Our panel will focus on the key benefits and challenges of leveraging ubiquitous networks of wearable and non-wearable sensors in corrections.

Introduction What is the Internet of Things A Practitioner's Perspective

A new ecology of data assets is emerging that provides the means for secure and trustworthy communications and for entirely new solution-sets related to the digital identity of people, devices and institutions. World Economic Forum

“ ” DEVICES THAT COLLECT AND TRANSMIT DATA VIA THE INTERNET Source: Forbes

,000,000,000 1,000,000, ,000,000 10,000,000 1,000, ,000 10,000 1,000 Transistors Moore’s Law Metcalfe‘s Law And more importantly: what can you do by combining and analyzing signals from all of these IoT devices? Koomey’s Law 1.E+14 1.E+12 1.E+10 1.E+08 1.E+06 1.E+04 1.E+02 1.E+00 Computations per KWh

ConnectivityDataAnalyticsThings

Collect and secure large amounts of data from your assets in the cloud for analysis Monitor and track the health of these assets to assure reliability and reduce costs Connect disparate assets to increase situational awareness and improve response Things

Create operational intelligence to improve efficiency and decision making Create insights for the right people at the right time to access and act on Analyze data from multiple sources in near real time to increase correctional staff safety and aide in decision- making Things

Leverage machine learning to understand trends and influence policy Apply historical data to new problems to successfully predict future behavior and trends Convert the raw data from your “things” into actionable insights and results. Things

Data Corrections Staff Need Cameras, Video, Audio surveillance Special Population Management Cell Phone Detectors Offenders on Parole (ankle bracelets, bands) *OZY: Could a Sensor Solve Our Prison Suicide Problem

150 K Search and Query per day* Correctional Video and Audio Data Collected per day* Medical/ Biometric Device Data per day * GPS Monitoring Data per day* *Theoretical Data.

SCALABILITY PROVEN METHODOLOGY CONNECTION LEVERAGE CLOUD SERVICES STANDARDS DEVELOPMENT SECURITY

IoT Sweet Spot $1000 PCs $400 Phones IoT capabilities are primarily value-add to other primary capabilities Legacy devices are used or when new devices are added budget is an important consideration Tiny devices make awfully vulnerable network servers Cost Computational Capabilities Memory/Storage Capacity Energy Consumption/Source $1 Sensor $ Server Component Quality

1. Draw an application diagram and then decompose the architecture 2 Assign the STRIDE mnemonic to each element in the diagram 3 Determine the risk 4 Chose mitigations (or not!) The threat modeling process STRIDE S –>Spoofing Identity T –>Tampering R –>Repudiation I –>Information Disclosure D –>Denial of Service E –>Elevation of Privilege

Generate new insights to create new business value Combine the data which is already collected Expand by adding new devices, new services, new data Utilize services and the cloud as a jump-start Start by connecting the already existing devices

The Internet of Corrections Things Practitioner’s Perspective

Enabling IoT for Corrections: As-Is Environment Sensor ‘Things’ - vendor proprietary device 23 Corrections Operations Center Correction/Parole Officer Booking Management Proprietary Format 1 Proprietary Format 2 Proprietary Format 3 Proprietary Format 4 Proprietary Format 5

Enabling IoT for Corrections: To-Be Environment Sensor ‘Things’ - proprietary device / format 24 Correctional Operations Center Next Generation Corrections/Parole Data Driven Corrections Management Sensor Catalog Open Std

Copyright © 2015 Open Geospatial Consortium Mutual aid agreements are in place for information sharing and support “Things” are accessible in the personal area network zone

Credit and thanks for this presentation: – CTA – Forbes – IBM – IJIS – Microsoft – OGC – OZY

Iveta Topalova, John Daugherty, Montana