distributed ledgers: integrity in identity... important disclaimer csiro advises that the...

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Distributed Ledgers:Integrity in Identity

QUESTnet lite Presentation 25 September 2017

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IMPORTANT DISCLAIMER

CSIRO advises that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any specific situation. No reliance or actions must therefore be made on that information without seeking prior expert professional, scientific and technical advice. To the extent permitted by law, CSIRO (including its employees and consultants) excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication (in part or in whole) and any information or material contained in it.

Our recent reports

6 | Data61 : QUESTnet lite September 2017

Overview

1. DLT Foresight– What might plausibly happen,

across society & economy?

2. Blockchain PoC Study– What are technical risks &

opportunities for use cases?

Data61 : QUESTnet lite September 20177 |

Mark Staples& team

Rob Hanson& team

Two concurrent projects, for 9 months, from mid-2016– Funded via NISA, with help of Treasury (Australian Government)

Gartner’s Hype Cycle


Spreadsheet Metaphor

10 |Data61 : QUESTnet lite September 2017

The first use case


“blockchain is the start of the fourth information revolution”

12 |

Quote: Head of the Bank of England 2016

Data61 : QUESTnet lite September 2017

13 |

0

50

100

150

200

250

Q12011

Q22011

Q12012

Q22012

Q32012

Q12013

Q22013

Q32013

Q42013

Q12014

Q22014

Q32014

Q42014

Q12015

Q22015

Q32015

Q42015

Q12016

Q22016

Q32016

Source: Brave New Coin, 2016.

Follow the money…


14 |

All that glitters…


What’s the story?

TRUST

IoT

Data

Productivity


Use case

16 |

• Registers

• Licencing

• Workflow

• Procurement

• Accountability

• Joined up government


How is Blockchain like an Oracle?


Data61 : Preliminary Findings on Blockchain/DLT Projects18 |

IoT

IoT Explosion

19 |

0

50

100

150

200

250

1990 1995 2000 2005 2010 2015 2020 2025 2030

De

vice

s (b

illio

n)

Year

Sources:

Howard (2015), Proffitt(2013), Evans (2011), Intel (n.d.), Gartner (2013, 2014, 2015), Machina Research (2013), Soderbery (2013), ABI Research (2013), Navigant Research (2013), IDC (2014), Lucero (2016), Cisco (2016), Danova (2013), Lund et al (2014), Business Insider (2016), Ericsson (2011)


Data Volumes

0

500

1000

1500

2000

Jun

20

10

Dec

20

10

Jun

20

11

Dec

20

11

Jun

20

12

Dec

20

12

Jun

20

13

Dec

20

13

Jun

20

14

Dec

20

14

Jun

20

15

Tho

usa

nd

Ter

abyt

es Terabytes of data downloaded using fixed line broadband

And we’d need another 75m to show you the 2025 forecast.

According to IBM The world creates 2.5 quintillion bytes of data daily; 90% of the data was made in the last 2 years.


Future of Work | Dr Stefan Hajkowicz & Dr Andrew Reeson21 |

Question: The area of lilly pad doubles every day. It takes 19 days for the pond to be half-covered. On what

day is the pond completely covered?

Image: Pixabay

0

100,000

200,000

300,000

400,000

500,000

600,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Pon

d C

ove

rage

(Sq

uar

e M

etre

s)

Answer: On day 20 (one day later) the pond is covered.

Frog Doesn’t Know Anything is Happening Yet

Frog Suspects

Something Happening

Frog realises what’s

happening & tries to respond

50% Coverage

Image: Pixabay

100% Coverage


23 |

Internet of Trust


Trust is contextual


DrawbacksBlockchain “bloat”


DrawbacksCompute

27 |Image source: https://en.wikipedia.org/wiki/The_Singularity_Is_Near


DrawbacksToxic Data


Blockchains are Not Stand-Alone Systems

Data61 : QUESTnet lite September 201729 |

UI for humans

IoTintegration

Auxiliarydatabases

Legacysystems

Keymanagement

privatedata

BIG DATABlockchain is a component

Key points for government and business

Cross Domain

Expertise

The technology is one part of a larger ecosystem.

Integrity

The challenge is to create data provenance in a world swimming in

data and devices.

PrivacyBlockchains present opportunities and risks which are novel in information systems.


www.csiro.au

Q & Awww.data61.csiro.au/Blockchain

Cyber Security

35 |

Manufacturing, value added (% of GDP)


Sources: World Bank national accounts data, and OECD National Accounts data files.


Source: BBC

Medical Devices


Automotive


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