Internet of Things: Driving the Transformation

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1 Internet of Things: Driving the Transformation Annabel Nickles, PhD, MBA Director, Emerging Platform Solutions Integrated Computing Research Intel Labs 1

What Are People Saying about IOT? Vol. 12345 Nr.

2 What Are People Saying about IOT? Vol Nr.001 Big Economic Impact IoT adds up to $15T to global GDP over the next 20 years (GE) Services Drive Revenues & Growth Value-added services are projected to be the largest and the fastest growning revenue sources in IoT. (Harbor Research, March 18, 2013) Fixed (you go to the device) Mobility (device goes with you) 200M IoT (age of devices) 10B IoE (people, process, data, things) After Cisco IBSG B Internet Inflection Points: Past & Future June 10, 2014 Billions of Connections Over 50% of Internet connections are things. By 2020, there will be over 30 billion connected things, with over 200 billion with intermittent connections. (KPCB M. Meeker, 2014) 1. Industrial Internet Consortium Press Release, March 27, 2014 IOT is Creating the Next Industrial Revolution 1 3

3 Embedded Devices Intelligent Systems 4

4 IOT Drivers Compute and storage capacity increasing cloud computing Cost and power going down comms, compute, storage, sensors Sensor integration with compute linking physical and digital Ubiquitous broadband infrastructure connecting people, devices, clouds Internet and telecomm infrastructure handle masses of data Improved system and user interfaces The Internet of Things Will Progress Significantly in the Next Decade Sources: Harbor Research March 2013, Pew Research May

5 Compute Storage Bandwidth Declining Cost Orders of magnitude decrease in last ~two decades

6 Personal data is the new oil of the Internet and the new currency of the digital world. Meglena Kuneva, European Consumer Commissioner Bain/World Economic Forum Report on Personal Data as New Asset Class IMS 2014

7 IMS 2014 IMS 2014 EVERYTHING

8 IMS 2014 IMS 2014 EVERYTHING IS BECOMING

9 EVERYTHING IS BECOMING DATA IMS 2014 IMS 2014

10 THE BIG OPPORTUNITY DATA GROWING AT 10X 200B Devices DATA GROWTH BY % UNSTRUCTURED 2 CONNECTED DEVICES GROWING AT 300% 3 1 IDC, Intel, United Nations 2 IDC Digital Universe Study, December McKinsey Global Institute 2B Devices B Devices 2015

11 IOT Value Vectors Ambient Intelligence The compute is all around you & knows you Very smart home, office, store, city Autonomous Decisions & Control Real-time optimization of complex systems Intelligent transportation systems, power grid demand-response Information & Analytics New insights & targeted services Deployable via service creation platforms the app of tomorrow Value is in the Data, Analytics, and Services Enabled by an Accessible, Seamless, and Secure IOT Infrastructure 12

12 IOT Evolution: Realize the Value of the Data Healthcare Home My Devices Resources Cities Car Buildings Agriculture Transportation Work Retail Energy Becoming an Interconnected and Interoperable System of Systems 13

Smart Devices Distribution On-location Physical Systems with Sensors and

13 Command & Control Collective Intelligence IOT Physical View and Technology Stack Aggregation Business Systems & Apps Datacenters Edge IOT Gateways & Smart Devices Distribution On-location Physical Systems with Sensors and Actuators Diagram Borrowed from Intel-NTU Connected Contextual Computing Center 14

14 IOT Interoperability & Cloud Services Some existing M2M service providers Many existing M2M & IoT service providers Google BigQuery Amazon Kinesis Amazon EMR Data & Analytics Services Google AppEngine Microsoft Azure Amazon EC2 Heroku Enterprise IT Device Gateway Interfaces requiring interoperability Interoperability is Needed for Scalability and an Innovative and Competitive Environment 15

15 Command & Control Analytics & BI IOT Analytics: Compute near the Data Correlation & Collective Intelligence: Vertical in-domain global aggregation Horizontal cross-domain correlation and modeling with context data Edge Analytics and Closed-Loop Control: IOT Cloud Services Correlate Aggregation Sensor data aggregation Summarized data analytic report to cloud Local correlation & analytics (realtime) Local autonomous decisions and actuation (realtime) Local collaboration: Eventing Reporting sensor data and state to next tier IOT Gateways Smart Devices Devices Things Collaborate Distribution Distributed Analytics to Derive Knowledge and Actionable Information

16 Sustainable Low Power Wireless Sensing: Set & Forget Low power sensors Net-Zero-Power processing Energy harvesting Pre-process to reduce comms power Low power radio Sensors& Actuators Low Power Connectivity Sensor Mesh Substantial Research Still Needed in this Area Si SOC & Packaging Energy Harvesting

17 IOT Manageability Challenge: management of heterogeneous device types and configurations in a scalable way. Blend of cloud-based services + distributed, autonomic approaches Minimize communications Distributed policy management Life cycle management dynamic or blended approaches Discovery, attestation, provisioning, monitoring, event handling, querying, retirement Manageability features distributed based on the device s/node s capabilities. Traditional Enterprise Management Techniques are Insufficient 18

18 IOT Security Recent Headlines: Cause for Concern? The Internet of Things Has Arrived And So Have Massive Security Issues (Jan 2013) The Internet of Things is set to change security priorities (April 2013) Shodan: The scariest search engine on Internet (Jan 2013) Internet of Things cyber-attack by smart appliances (Jan 2014)

Need For Security in IOT Combination of Wearable

creates a very dynamic and challenging threat

security to lose out due to cost and energy

NanoScale design points are required The State of

19 Need For Security in IOT Combination of Wearable and IOT Computing with Ubiquitous Connectivity creates a very dynamic and challenging threat landscape Tendency at these design points is for security to lose out due to cost and energy constraints Security Solutions tailored to the NanoScale design points are required The State of Embedded-Device Security (Spoiler Alert: It's Bad) (Sep 2012)

20 IOT Security Areas of Concern Confidentiality and Privacy Safety and Availability Data Authenticity 21

Example: Transportation Privacy and Confidentiality Safety

to crashes &/or traffic jams Failures of mgmt, enforcement,

highvalue shipments for theft, disclose company strategy

21 Example: Transportation Privacy and Confidentiality Safety and Availability Data Authenticity Intersection Mgmt Vehicle type and position vs. driver, vehicle, or passenger ID System unavailability leads to crashes &/or traffic jams Failures of mgmt, enforcement, insurance, tolling systems Logistics & Tracking Pinpoint highvalue shipments for theft, disclose company strategy Commerce interruption, spoilage, loss of asset value Costly misrouting or malicious diversion of highvalue assets 22

22 (Secure) Endnodes Cloud Gateway Ensuring Security End to End Sensor Data Aggregated Data Insight Availability Integrity Confidentiality End-to-End Security is Only as Good as the Weakest Link 23

23 Challenge: IOT Platforms you can Trust Aggregator Cloud IOT Sensors Actuators Edge Endpoints must underpin Security Platform HW/SW are trusted and can prove it Sensor security/privacy over the data lifetime Extensible, future-proof, trustworthy long-term Easy to use thru tooling/best practices Trusted I/O Attestation HW Essentials Memory Crypto Secure Boot/Patch Even Motes may need to establish Trust HW Essentials: Secure boot/patch, crypto, attestation, memory protection, and I/O Need Trustworthy IOT Endpoints Even in Very Small Low End Devices

Compensation of forged values by majority of correct nodes Repudiation and trust management Challenge 3: Minimize

24 Tolerating Attacks and Failures Some IOT endpoints will be compromised SW as well as physical attacks Challenge 1: Prevent "break once; run everywhere Challenge 2: Analytics that is robust against faulty IoT sensors Masking of missing values Compensation of forged values by majority of correct nodes Repudiation and trust management Challenge 3: Minimize vulnerability to physical attacks Tamper-proof packages Awareness and notification of tampering Compensation or correction for lost or corrupted data

25 IOT: Call for Innovation Power efficient computing platforms Workload partitioning for distributed computing Multi-scale data sensing, fusion, processing, and communication Seamless interoperability and access to new devices, networks and services Data acquisition / Analytics / DB management /Storage Context awareness Security & privacy Managing scale and diversity

26 Summary 27

27 Internet of Things = Intelligent System of Systems INTELLIGENT DEVICES INTELLIGENT SYSTEM OF SYSTEMS END-TO-END ANALYTICS & CONTROL MOBILE HOME Network Infrastructure INDUSTRIAL

28 Connected Intelligence at Every Scale EVERYTHING CONNECTED + COMPUTE ECONOMICS / City SUSTAINABLE INTELLIGENT CITIES Community PERSONALIZING SMART GRIDS Home INTELLIGENT HOME HEATING Person CONTEXT AWARE

29 A New Digital Society and Economy A DATA ECONOMY INTELLIGENT EVERYTHING PERSONALIZED EXPERIENCES 30

30 IMS 2014

5G Journey: Path Forward

5G Journey: Path Forward Vida Ilderem, PhD Vice President, Intel Labs Director, Wireless Communication Research Acknowledgement: Schooler, Foerster, Srikanteswara, Himayat, Talwar WE ARE HERE: 5G Reactive,