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Workshop #3:
Private Blockchains | Use Cases & Advanced Analytics
13 March 2018
Stavros Zervoudakis, Dean Karakitsos, Aleksey Studnev, Yamiz Bachkhaz,
Qi Zhang, Enterprise Solutions – IBM
Stephen Luedtke, Blockchain - Splunk
DLT, Analytics and AI
https://www.meetup.com/Blockchain-Analytics-AI/
https://www.meetup.com/Blockchain-Analytics-AI/
AGENDA
1. Welcome and Introduction (Stavros, Dean, Yamiz)
2. Designs of Hyperledger Fabric, a permissioned blockchain. Experiences and lessons learned
from various real-world enterprise blockchain use cases.
3. Overview of the Hyperledger “Fabric-Samples” repository for developers available via Docker
compose and containers.
4. Integrating Splunk to instantly enable analytics and insights to a Hyperledger Fabric environment
Break and Networking
5. Showcase analytics use cases in Splunk by generating transactions and failure scenarios within
a Hyperledger Fabric deployment.
6. Bonus - Advanced Data Integrity using Blockchain, Splunk for Ethereum, Cross-chain Analytics
7. Conclusion (Dean, Stavros, Yamiz)
https://www.meetup.com/Blockchain-Analytics-AI/
MANY THANKS TO
https://www.meetup.com/Blockchain-Analytics-AI/
and
Questions
Join our Meetup Group
hello@bloxy.info
Workshop Series
https://www.meetup.com/Blockchain-Analytics-AI/
Qi Zhang
IBM Research, NY, USA
q.zhang@ibm.com
Enterprise Blockchain:
Design, Use cases, and Cognitive Analytics
Blockchain
for
Business
Shared,
replicated,
permissioned
ledger
Hyperledger Fabric
Business Networks, Wealth and Markets
• Business Networks benefit from connectivity
• Participants are customers, suppliers,
banks, partners
• Cross geography and regulatory boundary
• Wealth is generated by the flow of goods and
services across business network in
transactions and contracts
• Markets are central to this process:
• Public (fruit market, car auction), or
• Private (supply chain financing, bonds)
Enterprises Need Private Blockchain
Append-only distributed
system of record
shared across business
network
Business terms embedded
in transaction database &
executed with transactions
All parties agree to
network verified
transaction
Ensuring appropriate
visibility; transactions are
secure, authenticated
& verifiable
Privacy
Shared
Ledger
Smart
Contract
Consensus
• Blockchains for business are generally permissioned and private, and prioritize
– Identity over anonymity
– Selective endorsement over proof of work
– Assets over cryptocurrency
The Hyperledger Project
• An implementation of blockchain technology
that is a foundation for developing blockchain
applications
• Emphasis on ledger, smart contracts,
consensus, confidentiality, resiliency and
scalability.
• V1.4 released 2018 Q4
• Includes significant confidentiality and
service discovery improvements
• IBM is one of the many contributing
organizations
Hyperledger Fabric
Fabric blockchain architecture overview
Execute Order Validate
Fabric blockchain transaction flow
Hyperledger Fabric
Blockchain
developer
Smart
Contract
submitsdevelops
develops
recorded
accesses
event
emits
emits
D
Ledger
‘get’, ‘put’, ‘delete’
Client
Application
SDK
!
!
World state
block
txn txn txn
Blockchain
Peer
event
Transaction Flow
E0
E1
E2
Client
Application
SDK
Endorser Ledger
Committing
Peer
Application
Ordering Node
Smart Contract
(Chaincode)
Endorsement
Policy
Hyperledger Fabric Network
Ordering-Service
O
O O
OP
P4P3
A
B
A
B
A
B
A
D
Use cases
Food Trust
Food Ecosystem Today
Data sharing limited to ‘one up,
one down’ without end-to-end
transparency
Multiple data formats & sources
Lack of trusted, easily auditable records
Incomplete information &
inability to effectively
communicate with the end
consumer
The IBM Food Trust Solution
Future IBM Modules
Future 3rd Party Modules /
Capabilities
§Manage Recalls
§Recall Post-Analysis
§Trace-forward & back
§Recall Simulator
Trace & Recall
§Version Control
§Authenticity
§Automated lifecycle
management
§Real-time Sharing
Certificate Management
IBM Blockchain Platform
Hyperledger Fabric
§ Permissioned Data Access & Entry
§ IBM Blockchain Provenance Engine
§ Secure Document Storage
§ API Integration
Data Entry & Access
IBM Food Trust
Solution Core
TradeLens
Cost of Global Trade
A Better Way For Global Trade
Energy
DLT analytics and AI workshop   13 march  2019
Electric cars
Household batteries
Identity
The Different Dimensions of Our Identity
1. Me as an individual: 2. How I am represented: 3. How I interact:
• Identity: Unique traits
associated with an
individual; the owner of
personal identification
information.
• Identity Renderings: Digital or
physical (paper/plastic)
instrument as defined by
providers.
• Identity Interactions:
Situational usage such as
pay, identify, participate,
enter.
The Facts
175M records breached in 2017 that exposed
millions of people’s identities1
1339 breaches of data
stores of individual names,
Social Security, drivers
license number, medical
record, or financial records
in 2017 in the US alone.1
Cyber attacks cost
businesses as much as
$400 billion a year.2
Banks spend $1 billion a
year on identity
management solutions2
It could have been your identity.
[1] http://www.idtheftcenter.org/images/breach/2017Breaches/DataBreachReport_2017.pdf
[2] https://www.wired.com/beyond-the-beyond/2017/07/global-cybercrime-costs-trillion-dollars-maybe-3/
[3] https://www.accenture.com/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_9/Accenture-Future-Identity-Banking.pdf
Decentralized Identity
Owner/Holder
Acquires, Stores,
Presents
Verifier
Requests, Verifies
Issuer
Issues
Issues
Credentials
Presents
Credentials
Decentralized Identifiers (DIDs)
Permissioned Blockchain
Signs
Credentials
Countersigns
Credentials
Verifies
Signatures
• All interactions between entities are point to point
• The ledger serves as the distributed root of trust instead of CAs
• Credentials are accumulated over time through every peer to peer relationship
Congnitive Blockchain
Cognitive Blockchain
1.Ingest Regulation
2.Kick off Bot
3.Obtain Permissions
4.Check Blockchain Records Compliance
Kimberley Diamond Certification Regulatory Document
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
DLT analytics and AI workshop   13 march  2019
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.© 2019 SPLUNK INC. FOR INTERNAL USE ONLY.
Blockchain and DLT
with Splunk
Stephen Luedtke | @ArbiterOfData
Confidential
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
During the course of this presentation, we may make forward-looking statements regarding future events or
the expected performance of the company. We caution you that such statements reflect our current
expectations and estimates based on factors currently known to us and that actual events or results could
differ materially. For important factors that may cause actual results to differ from those contained in our
forward-looking statements, please review our filings with the SEC.
The forward-looking statements made in this presentation are being made as of the time and date of its live
presentation. If reviewed after its live presentation, this presentation may not contain current or accurate
information. We do not assume any obligation to update any forward-looking statements we may make. In
addition, any information about our roadmap outlines our general product direction and is subject to change
at any time without notice. It is for informational purposes only and shall not be incorporated into any contract
or other commitment. Splunk undertakes no obligation either to develop the features or functionality
described or to include any such feature or functionality in a future release.
Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in
the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved.
Forward-Looking Statements
© 2017 SPLUNK INC. FOR INTERNAL USE ONLY.
Agenda ● Introduction
● Hyperledger Fabric-Samples
● Splunk for Hyperledger Fabric
● Additional Analytics Use cases
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
Splunk’s Mission
© 2018 SPLUNK INC.
Splunk supports all different
use cases and users
Starting in IT and security, but spanning across the organization
SPLUNK PLATFORM
SecurityIT Business
Users
DevelopersIoT
© 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
Advanced Data Integrity
Uses public or private blockchains to
prevent tampering of data in Splunk
Infrastructure Monitoring
Monitor and analyze logs and metrics
from Ethereum or Hyperledger Fabric
Transaction Analytics
Analyze transaction performance and
the distributed ledger data itself
Splunk and Blockchain
© 2017 SPLUNK INC. FOR INTERNAL USE ONLY.
See it in action
Splunk App for Hyperledger Fabric
© 2017 SPLUNK INC. FOR INTERNAL USE ONLY.
Bonus Demos
Transaction Analytics and Multi-chain

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DLT analytics and AI workshop 13 march 2019

  • 1. Workshop #3: Private Blockchains | Use Cases & Advanced Analytics 13 March 2018 Stavros Zervoudakis, Dean Karakitsos, Aleksey Studnev, Yamiz Bachkhaz, Qi Zhang, Enterprise Solutions – IBM Stephen Luedtke, Blockchain - Splunk DLT, Analytics and AI https://www.meetup.com/Blockchain-Analytics-AI/
  • 3. AGENDA 1. Welcome and Introduction (Stavros, Dean, Yamiz) 2. Designs of Hyperledger Fabric, a permissioned blockchain. Experiences and lessons learned from various real-world enterprise blockchain use cases. 3. Overview of the Hyperledger “Fabric-Samples” repository for developers available via Docker compose and containers. 4. Integrating Splunk to instantly enable analytics and insights to a Hyperledger Fabric environment Break and Networking 5. Showcase analytics use cases in Splunk by generating transactions and failure scenarios within a Hyperledger Fabric deployment. 6. Bonus - Advanced Data Integrity using Blockchain, Splunk for Ethereum, Cross-chain Analytics 7. Conclusion (Dean, Stavros, Yamiz) https://www.meetup.com/Blockchain-Analytics-AI/
  • 5. Questions Join our Meetup Group hello@bloxy.info Workshop Series https://www.meetup.com/Blockchain-Analytics-AI/
  • 6. Qi Zhang IBM Research, NY, USA q.zhang@ibm.com Enterprise Blockchain: Design, Use cases, and Cognitive Analytics Blockchain for Business Shared, replicated, permissioned ledger
  • 8. Business Networks, Wealth and Markets • Business Networks benefit from connectivity • Participants are customers, suppliers, banks, partners • Cross geography and regulatory boundary • Wealth is generated by the flow of goods and services across business network in transactions and contracts • Markets are central to this process: • Public (fruit market, car auction), or • Private (supply chain financing, bonds)
  • 9. Enterprises Need Private Blockchain Append-only distributed system of record shared across business network Business terms embedded in transaction database & executed with transactions All parties agree to network verified transaction Ensuring appropriate visibility; transactions are secure, authenticated & verifiable Privacy Shared Ledger Smart Contract Consensus • Blockchains for business are generally permissioned and private, and prioritize – Identity over anonymity – Selective endorsement over proof of work – Assets over cryptocurrency
  • 10. The Hyperledger Project • An implementation of blockchain technology that is a foundation for developing blockchain applications • Emphasis on ledger, smart contracts, consensus, confidentiality, resiliency and scalability. • V1.4 released 2018 Q4 • Includes significant confidentiality and service discovery improvements • IBM is one of the many contributing organizations
  • 11. Hyperledger Fabric Fabric blockchain architecture overview Execute Order Validate Fabric blockchain transaction flow
  • 13. Transaction Flow E0 E1 E2 Client Application SDK Endorser Ledger Committing Peer Application Ordering Node Smart Contract (Chaincode) Endorsement Policy Hyperledger Fabric Network Ordering-Service O O O OP P4P3 A B A B A B A D
  • 16. Food Ecosystem Today Data sharing limited to ‘one up, one down’ without end-to-end transparency Multiple data formats & sources Lack of trusted, easily auditable records Incomplete information & inability to effectively communicate with the end consumer
  • 17. The IBM Food Trust Solution Future IBM Modules Future 3rd Party Modules / Capabilities §Manage Recalls §Recall Post-Analysis §Trace-forward & back §Recall Simulator Trace & Recall §Version Control §Authenticity §Automated lifecycle management §Real-time Sharing Certificate Management IBM Blockchain Platform Hyperledger Fabric § Permissioned Data Access & Entry § IBM Blockchain Provenance Engine § Secure Document Storage § API Integration Data Entry & Access IBM Food Trust Solution Core
  • 19. Cost of Global Trade
  • 20. A Better Way For Global Trade
  • 25. The Different Dimensions of Our Identity 1. Me as an individual: 2. How I am represented: 3. How I interact: • Identity: Unique traits associated with an individual; the owner of personal identification information. • Identity Renderings: Digital or physical (paper/plastic) instrument as defined by providers. • Identity Interactions: Situational usage such as pay, identify, participate, enter.
  • 26. The Facts 175M records breached in 2017 that exposed millions of people’s identities1 1339 breaches of data stores of individual names, Social Security, drivers license number, medical record, or financial records in 2017 in the US alone.1 Cyber attacks cost businesses as much as $400 billion a year.2 Banks spend $1 billion a year on identity management solutions2 It could have been your identity. [1] http://www.idtheftcenter.org/images/breach/2017Breaches/DataBreachReport_2017.pdf [2] https://www.wired.com/beyond-the-beyond/2017/07/global-cybercrime-costs-trillion-dollars-maybe-3/ [3] https://www.accenture.com/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_9/Accenture-Future-Identity-Banking.pdf
  • 27. Decentralized Identity Owner/Holder Acquires, Stores, Presents Verifier Requests, Verifies Issuer Issues Issues Credentials Presents Credentials Decentralized Identifiers (DIDs) Permissioned Blockchain Signs Credentials Countersigns Credentials Verifies Signatures • All interactions between entities are point to point • The ledger serves as the distributed root of trust instead of CAs • Credentials are accumulated over time through every peer to peer relationship
  • 29. Cognitive Blockchain 1.Ingest Regulation 2.Kick off Bot 3.Obtain Permissions 4.Check Blockchain Records Compliance
  • 30. Kimberley Diamond Certification Regulatory Document
  • 45. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY.© 2019 SPLUNK INC. FOR INTERNAL USE ONLY. Blockchain and DLT with Splunk Stephen Luedtke | @ArbiterOfData Confidential
  • 46. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. During the course of this presentation, we may make forward-looking statements regarding future events or the expected performance of the company. We caution you that such statements reflect our current expectations and estimates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-looking statements, please review our filings with the SEC. The forward-looking statements made in this presentation are being made as of the time and date of its live presentation. If reviewed after its live presentation, this presentation may not contain current or accurate information. We do not assume any obligation to update any forward-looking statements we may make. In addition, any information about our roadmap outlines our general product direction and is subject to change at any time without notice. It is for informational purposes only and shall not be incorporated into any contract or other commitment. Splunk undertakes no obligation either to develop the features or functionality described or to include any such feature or functionality in a future release. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved. Forward-Looking Statements
  • 47. © 2017 SPLUNK INC. FOR INTERNAL USE ONLY. Agenda ● Introduction ● Hyperledger Fabric-Samples ● Splunk for Hyperledger Fabric ● Additional Analytics Use cases
  • 48. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY.
  • 49. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. Splunk’s Mission
  • 50. © 2018 SPLUNK INC. Splunk supports all different use cases and users Starting in IT and security, but spanning across the organization SPLUNK PLATFORM SecurityIT Business Users DevelopersIoT
  • 51. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. Advanced Data Integrity Uses public or private blockchains to prevent tampering of data in Splunk Infrastructure Monitoring Monitor and analyze logs and metrics from Ethereum or Hyperledger Fabric Transaction Analytics Analyze transaction performance and the distributed ledger data itself Splunk and Blockchain
  • 52. © 2017 SPLUNK INC. FOR INTERNAL USE ONLY. See it in action Splunk App for Hyperledger Fabric
  • 53. © 2017 SPLUNK INC. FOR INTERNAL USE ONLY. Bonus Demos Transaction Analytics and Multi-chain