RISE OF THE MACHINES: IRM IN AN IOT WORLD

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Rise of the (smart) Machines Remy Pottier Director of Strategy ARM [email protected] 1

description

REMY POTTIER, Director of Strategy, ARM, at the European IRM Summit 2014.

Transcript of RISE OF THE MACHINES: IRM IN AN IOT WORLD

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Rise of the (smart) Machines

IRM Summit November 2014

Remy Pottier Director of Strategy ARM

[email protected]

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The IoT Opportunity Gap The IoT Opportunity is much larger

Analysts predictions for

connected devices (2020):

30 billion?

50 billion?

75 billion?

Reach

Time

The IoT Market is growing

Not new concept , it’s been around for >20

years1

Connected things > world population (6.8B)

Today

Silos of Things

1 Weiser, Mark (1991) “the Computer for the 21st Century”

The term Internet of Things was proposed by Kevin Ashton in 1998

MCUs radios sensors

Over 3 Billion ARM® Cortex® -M devices shipped in 2013

by leading semiconductor companies

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where is the value?

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Change the relationship between user, devices and services Functional Becomes IOT Little Data /Leveraging “Big Data” enables services revolution

Functional Little Data

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What are the problems to solve?

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Problems to solve for OEM today – similar across verticals

Develop the Things and then …

Connect

Data management, device management

Service development and deployment

Security

Integration

Differentiate and innovate

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Problems to solve for Market Development/Acceleration

Interoperable Data

and Objects

Internet Of Things R

each

Sharing

SaaS

M2M

Applications

Internet / broadband

Mobile Telephony

Open User, Service,

Device Identities

Relationship

Fixed Telephony Networks

Mobile internet

Internet of Things

Today

Silos of Things

Everything nearly connects

Scale needs interoperability

Interoperability needs Standards

Relationship needs Trust

Trust needs Identities & Security

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Enabling the I of IoT :

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Network

Level

Internet

Level

Web

Level

Application

Level

“I” for IP (and Web) protocols to the edge

EXI | XML | JSON payload

6LoWPAN | IPv6 | IPv4

UDP | TCP

802.11 MAC/PHY 3GPP | LTE

DTLS | TLS

CoAP | HTTP

ZigBee

Network Layer

ZigBee App Layer REST APIs

ZigBee Cluster Lib

BT MAC/PHY

Host Control I/F

L2CAP | IP | UDP

Security Manager

GATT profiles

Application layer

Bluetooth ZigBee WiFi Cellular

IEEE 802.15.4 MAC / PHY

Thread

IP / Web IoT Application Device Management

Web to the edge Constrained networks

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I for Identity

Identity in the physical world and digital world

Devices can have multiple identities basic, cryptographic (serial number, reference number, MAC

address, shared secret, crypto key,..)

Web-scale connectivity

Can we use IPv6 for providing a unique IP address to IoT?

Yes! It’s IoT-friendly by design2

Key problems to solve:

Identity management

Authentication

Authorization

Secure the Id

2. The Internet of Everything through IPv6: An Analysis of Challenges, Solutions and Opportunities

Antonio J. Jara, Latif Ladid, Antonio Skarmeta - http://ipv6forum.com/iot/images/jowua-v4n3-6.pdf

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I for Identity Relationship

The trust relationship is: user trusts the App (and vice versa), App trusts the device

(and vice versa)

This is ok for “Silos of Things” but what about these use cases:

Device sharing/ networking

Data sharing

One to many relationship

Ownership transfer (time based, ..)

3rd party apps

….. SSO

FIM

Federation

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Data Sharing use case!

Gym

Cycling

Running

Machine ID

Personal ID

Start Time

Stop Time

Distance

Exercise Profile

Heart Rate

Bicycle ID

Personal ID

Start Time

Stop Time

GPS Mapping

Personal ID

Start Time

Stop Time

GPS Mapping

Heart Rate

Bluetooth Cellular

Network WiFi

WiFi

Gym Machine Utilization

Equipment Owner Machine Depreciation

Service Contract Predictive Maintenance

Personal @ Gym Trainer / exercise regime portal

Personal @ Facebook Share with selected friends

Health Provider Doctor / Dietician

Hospital Track post-surgical recovery

Multiple Streams

Gym + Personal

High data bandwidth

for machine monitoring

WiFi

Internet /

Cloud Personal Planner Mash-up / Multiple streams data

Personal Reward Goal achievement

Weight

Device ID

Personal ID

Date / Time

Scale (Kg/Lbs) WiFi Internet

Gym Network

Home Network

Personal Area Network

Network

TRUST?

RESSOURCES USERS

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Enabling Trusted Relationship between Identities

“Normal” Thingteractions Own, share, use directly

User Service Identity and Access Management

Privacy, ownership management

Device Service Security End to End

Cloud Service

• Personal cloud

• Professional cloud

• Private / dedicated cloud

User identity

• Me

• Friends /Colleagues

• Maintenance department …

Things Identity

• Serial #

• Unique Id

Need to establish trust in an untrusted environment?

Cryptographers have been doing this for a long time

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Let’s go step by step! Device to Service end to end security and User Access Control to services

Web scale user Identity

and Access control

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and then

IRM

IETF -ACE

FIDO

KANTARA-UMA

…..

OR

More Technologies and Standards required

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Summary

IoT silicon opportunity – 30..75B devices by 2020

Mostly small devices woven into the fabric of our physical and digital lives

Internet / Web protocols can scale to meet the needs of IoT

Security is essential – and the standards are already in place

Every device needs a secure key store and basic crypto support

Establish a trusted relationship between devices, applications and users

The result: Trustworthy IoT at Web scale!

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Thank You

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