The document discusses the rise of IoT devices and the need for standards to enable interoperability and trusted relationships between devices, applications, and users at a massive web scale. It notes that while IoT has been discussed for over 20 years, current implementations exist in isolated "silos." The number of connected devices is projected to grow exponentially to 30-75 billion by 2020. For IoT to reach its full potential, issues of connectivity, data management, security, and identity need to be addressed through open standards. Establishing trust between identities is seen as key to enabling data and resource sharing across personal area networks, enterprise networks, and the cloud.

1. Rise of the (smart) Machines
IRM Summit November 2014
Remy Pottier Director of Strategy ARM
remy.pottier@arm.com
1

2. 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

3. where is the value?

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

5. What are the problems to solve?

6. 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

7. Problems to solve for Market Development/Acceleration
Interoperable Data
and Objects
Internet Of Things
Reach
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

8. Enabling the I of IoT :
8

9. 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

10. 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

11. 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

12. 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
12

13. 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

14. 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

15. and then
IRM
IETF -ACE
FIDO
KANTARA-UMA
…..
OR
More Technologies and Standards required

16. 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!

17. Thank You
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