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Rise of the (smart) Machines 
IRM Summit November 2014 
Remy Pottier Director of Strategy ARM 
remy.pottier@arm.com 
1
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
where is the value?
Change the relationship between user, devices and services Functional Becomes IOT Little Data /Leveraging “Big Data” enables services revolution 
Functional 
Little Data
What are the problems to solve?
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
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
Enabling the I of IoT : 
8
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
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
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
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
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
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
and then 
IRM 
IETF -ACE 
FIDO 
KANTARA-UMA 
….. 
OR 
More Technologies and Standards required
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!
Thank You 
The trademarks featured in this presentation are registered and/or unregistered trademarks of ARM Limited (or its subsidiaries) in the EU and/or elsewhere. All rights reserved. Any other marks featured may be trademarks of their respective owners

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Rise of the (smart) Machines IRM Summit

  • 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 The trademarks featured in this presentation are registered and/or unregistered trademarks of ARM Limited (or its subsidiaries) in the EU and/or elsewhere. All rights reserved. Any other marks featured may be trademarks of their respective owners