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Blockchain – To Develop Digital
Resource Management Application
1
Kaushik Dutta
Information Systems and Decision Sciences
Muma College of Business
Copyright Kaushik Dutta, USF
Introduction
 Kaushik Dutta – Jadavpur University, Indian Statistical Institute,
Georgia Institute of Technology. 20+ years of Industry and academic
background
 University of South Florida
 5th best In U.S. In 'Young University' Rankings (Established between
1945-1967) as per Times Higher Education Rank
 Highest in USA in terms of number of Fullbright scholars
 #10 in terms of number of patent applications in USA
 Information Systems and Decision Science Department of Muma
College of Business
 #35 in Information Systems publication
Copyright Kaushik Dutta, USF
Introduction
 Information Systems and Decision Sciences
 MS in Business Analytics and Information Systems
 Highest salary across graduates of all specialized masters in Florida -
$91K per annum after 2 years of graduation
 Recent placements – Tesla, Visa, Facebook, Twitter, Amazon, Google
 Admission for Fall (August) and Spring (Jan) – GRE, TOEFL
 MS in Management
 Concentrations – Project Management, Management Information Systems
 Target jobs – Management consulting, technical analyst
 Less technical than MS in BAIS, more focused towards soft skills
 BS in Management and BAIS
 PhD
Copyright Kaushik Dutta, USF
Outline
 Fundamentals of blockchain
 Introduction
 Data reliability
 Cybercurrency
 Public and private blockchain
 Blockchain contract
 Scalability
 Blockchain Use Cases
 Healthcare Resource management using blockchain
 Conclusion
 Summary
Copyright Kaushik Dutta, USF
Outline
 Fundamentals of blockchain
 Introduction
 Data reliability
 Cybercurrency
 Public and private blockchain
 Blockchain contract
 Scalability
 Blockchain Use Cases
 Healthcare Resource management using blockchain
 Conclusion
 Summary
Copyright Kaushik Dutta, USF
What is blockchain?
Copyright Kaushik Dutta, USF
What is blockchain?
 Distributed ledger
 A collection of transactions are written in blocks (similar to disk block or
database block or HDFS block)
 Each block is coupled with the previous block by hash value of previous
block
Copyright Kaushik Dutta, USF
Blockchain - Signed Data
Copyright Kaushik Dutta, USF
Blockchain and Cryptography
Copyright Kaushik Dutta, USF
What is blockchain?
 Each node collects new transactions into a block.
 When node creates a block, it broadcasts the block to all
nodes.
 Blocks are created by nodes in randomized round robin
fashion
 Each block is signed by the creator
 Nodes express their acceptance of the block by working on
creating the next block in the chain, using the hash of the
accepted block as the previous hash.
 In case of conflict, the longest chain only survives.
 Longest chain means more nodes have accepted the
blocks
 Majority consensus
 Improves reliability and authenticity
Copyright Kaushik Dutta, USF
Majority Consensus
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Node 1
Node 2
Node 3
Node 4 Block 1 Block 2 Block 3Node 4
Block 1 Block 2 Block 3Node 5
Copyright Kaushik Dutta, USF
Majority Consensus
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Node 1
Node 2
Node 3
Node 4
Block 4
Block 5
Block 5
Block 5Block 1 Block 2 Block 3Node 4 Block 5
Block 1 Block 2 Block 3Node 5 Block 5
Copyright Kaushik Dutta, USF
Majority Consensus
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Node 1
Node 2
Node 3
Node 4
Block 4
Block 5
Block 5
Block 5Block 1 Block 2 Block 3Node 4 Block 5
Block 1 Block 2 Block 3Node 5 Block 5
Block 6
Block 6
Block 6
Block 6
Block 6
Copyright Kaushik Dutta, USF
Majority Consensus
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Node 1
Node 2
Node 3
Node 4
Block 4
Block 5
Block 5
Block 5Block 1 Block 2 Block 3Node 4 Block 5
Block 1 Block 2 Block 3Node 5 Block 5
Block 6
Block 6
Block 6
Block 6
Block 6
Copyright Kaushik Dutta, USF
Majority Consensus
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Block 1 Block 2 Block 3
Node 1
Node 2
Node 3
Node 4
Block 5
Block 5
Block 5Block 1 Block 2 Block 3Node 4 Block 5
Block 1 Block 2 Block 3Node 5 Block 5
Block 6
Block 6
Block 6
Block 6
Block 5 Block 6
Copyright Kaushik Dutta, USF
Reliability of Data in Blockchain
 Depends on the collective good behavior of nodes
 What if majority nodes collude?
 System can’t protect from such scenarios
 Modifying a particular transaction in a block will require modifying all
the previous blocks in that chain.
 A computationally expensive but not impossible task
 All other nodes need to agree on that change and continue to write in
that modified chain
Copyright Kaushik Dutta, USF
Bitcoin
 S Nakamoto (????)
 Bitcoin: A Peer-to-Peer Electronic Cash System
 An implementation of blockchain
Copyright Kaushik Dutta, USF
Bitcoin / Ethereum
 Need further protection than nodes colluding
 Creation of each block requires a predefined meaningless computation, as proof of
work
 Distributes the onus of creating blocks across the network
 A level of difficulty is associated with each block
 The chain with higher proof of work survives
 Modifying a particular transaction in a block or replacing with alternate data will
require more computational power than other nodes combined together
 Just collusion is not enough, the colluded nodes need to invest to mine
 $$$$$$$$
 A non-trivial but not impossible task
 Possible by large rogue organizations with financial power
Copyright Kaushik Dutta, USF
Private vs. Public Blockchain
 Public blockchain – Bitcoin, Ethereum
 Anyone with $ can participate
 $ is needed to compensate the miner (block creator for doing the work of creating
blocks – “proof of work”)
 Protected by “proof of work” or the “work to be done” to modify
 Associated with a currency to compensate the “proof of work”
 The underline asset of the currency is “computational work” that has been done
 Like gold backed currency – backed by the work that has been done to mine the gold.
 Private Blockchain – Multichain, Hyperledger
 Restricted to a group
 Participation is based on common business interest
 Protected by various consensus mechanism
 Does not need to be associated with a currency
Copyright Kaushik Dutta, USF
Blockchain Types
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Hyperledger
Copyright Kaushik Dutta, USF
https://youtu.be/8nrVlICgiYM
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Blockchain Contract
 Contract is an executable code like a PL/SQL code
 Contract can be written in various languages and is run in Virtual
Machines in Blockchain (EVM in case of Ethereum)
 Contract is executed by blockchain nodes based on incoming
transactions and can write more transactions in the blockchain
 Serves following purpose:
 expressing business logic as a computer program
 representing the events which trigger that logic as messages to the
program
 using digital signatures to prove who sent the messages
 putting all of the above on a blockchain.
Copyright Kaushik Dutta, USF
Food for thoughts
 Contracts vs. Stored Procedures
Data
Application
Code
Code
Blockchain
Application
Code
Code
Copyright Kaushik Dutta, USF
Food for thoughts
 Contracts vs. Stored Procedures
Data
Application
Code
Code
Blockchain
Application
Code
Code
Copyright Kaushik Dutta, USF
Blockchain – Issues of Scalability
 Blockchain is not a true distributed system, it is a replicated system
 all of the nodes that maintain the blockchain do exactly the same thing
 They verify the same transactions
 They record the same items into a blockchain
 They store the entire history, which is the same for all of them, for all time
 Blockchain contract is executed independently in each and every
node
 Bitcoin: 7 Transactions per seconds
 Ethereum: 10-30 Transactions per seconds
 Multichain: 500-1000 transactions per seconds
Copyright Kaushik Dutta, USF
Blockchain – Issues of Scalabiity
Copyright Kaushik Dutta, USF
Blockchain – Issues of Scalability
 Culprits:
 Proof of work
 Contract Execution
 Each node stores and executes everything
Copyright Kaushik Dutta, USF
Blockchain – Solution to Scalability
 Sidechain
Copyright Kaushik Dutta, USF
Blockchain – Solution to Scalability
 Tangle / IOTA
 No mining
 No blocks
 No real-time consensus
 Nodes validate two old
transactions to conduct
their own
 To be in the network you
have to participate
actively in validating
transactions
Copyright Kaushik Dutta, USF
Outline
 Fundamentals of blockchain
 Introduction
 Data reliability
 Cybercurrency
 Public and private blockchain
 Blockchain contract
 Scalability
 Blockchain Use Cases
 Healthcare Resource management using blockchain
 Conclusion
 Summary
Copyright Kaushik Dutta, USF
Blockchain based Applications
Copyright Kaushik Dutta, USF
Resources
 Any digital asset that can be accessed and used for business
purposes
 Patient record in EHR system
 Educational Transcripts
 Bills, Orders, Invoices
Copyright Kaushik Dutta, USF
Healthcoin
Copyright Kaushik Dutta, USF
Supply-chain
Copyright Kaushik Dutta, USF
40
Blockchain Architecture for the
Credential Management System
Owner
Creator
User
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Blockchain Applications –
Developed by USF ISDS Students
 Claims Processing on IBM Hyperledger
 Our aim is to implement a Healthcare claims processing system on Blockchain using IBM
Hyperledger. The traditional healthcare Claim processing system is a cumbersome process
involving tedious Claim intake system which involves immense coding, maintenance and consumes
huge processing time. With IBM Hyperledger, we offer a simple and secure way for providers to
access the Claim processing system on blockchain and using smart contracts to handle integrity
checks, payments. By using a distributed ledger, blockchains deliver immutable records eliminating
claim frauds and easy audits in real-time ensuring trust and potential business growth to the health
insurance provider.
 Blockchain for invoice financing industry
 The projects intends to implement Blockchain technology as a solution for the Invoice financing
industry in order to accomplish three main objectives: process enhancements, saving time and
cost, and reducing significant fraud risk. The goal is to implement a permissioned business network
using the Hyperledger platform, so all the main participants performing a factoring operation would
have a trusted network that will improve their transactional process.
Copyright Kaushik Dutta, USF
Blockchain Applications –
Developed by USF ISDS Students
 Real Estate Title Transfers on the Blockchain
 In property law, a title is a bundle of rights in a piece of property in which a party may own either a
legal interest or equitable interest. The rights in the bundle may be separated and held by different
parties. It may also refer to a formal document, such as a deed, that serves as evidence of
ownership. We are aiming to build a blockchain application that will improve the current process of
title transfer in real estate. The current process is vulnerable to frauds. Even though the deed may
have been conveyed to a person when one purchased the home, and was likely warranted to be
free and clear of outstanding liens or claims at that time, there is nothing to prevent a scammer
from filing a false claim on top of your legitimate deed after closing and finalization of the
conveyance. This is because County Recorders are not authorized by law to verify the legal claims
made in documents. With the concepts like smart contracts, distributed consensus and verified
nodes we can improve the process of the title transfer.
 Blockchain Solution for Employee Resource Management
 We are designing a solution will help a consortium of companies who are in the blockchain and
have common clients. Our solution will help companies keep a track of employees working for their
respective clients. Also, since the contracts are embedded in the blockhain itself, when an
employee leaves one company and joins another, the contracts are automatically enforced. The
solution will help develop trust among companies and also with their respective clients. Our solution
will also help reduce cost and time spent on employee on-boarding and off-boarding processes,
once the employee details are in the blockchain.
Copyright Kaushik Dutta, USF
Copyright Kaushik Dutta, USF
Outline
 Fundamentals of blockchain
 Introduction
 Data reliability
 Cybercurrency
 Public and private blockchain
 Blockchain contract
 Scalability
 Blockchain Use Cases
 Healthcare Resource management using blockchain
 Conclusion
 Summary
Copyright Kaushik Dutta, USF
6666
Why Blockchain
 To manage the ground truth
 Which data is the truth
 Truth – that majority agrees on (democracy!!)
 Alternate truth – other data that few agrees on
 To have a multi-node storage where all nodes are equal
 Important for databases to support a consortium of multiple
organizations
 No third party entity with overhead is needed
 Reduces the cost of data management
Copyright Kaushik Dutta, USF
Blockchain
 What it is vs. what it is not?
 Not a distributed system
 All data are replicated in all nodes
 Contract (EVM) - Not a distributed computing system
 The same code is executed in all nodes
 Immutable – for all practical purposes it is true
 With sufficient financial resource it can be hacked
 Data storage system for parties that don’t trust each other – trust by
consensus / proof of work / validated by others
 For trusted parties
 Do we need anything other than centralized data storage?
 What’s the advantage of blockchain in this case???
 Incentivized system - custom coin / coupons
Copyright Kaushik Dutta, USF
68
Conclusion
 Blockchain can be used to manage digital resources involving
multiple parties where parties do not trust each other
 Fine grained access control mechanism
 Event and notification handling through blockchain contract
 A generic resource management framework
 For post hospital continuity of care
Copyright Kaushik Dutta, USF
69
Thank You!!
Copyright Kaushik Dutta, USF

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Blockchain Introduction

  • 1. 11 Blockchain – To Develop Digital Resource Management Application 1 Kaushik Dutta Information Systems and Decision Sciences Muma College of Business Copyright Kaushik Dutta, USF
  • 2. Introduction  Kaushik Dutta – Jadavpur University, Indian Statistical Institute, Georgia Institute of Technology. 20+ years of Industry and academic background  University of South Florida  5th best In U.S. In 'Young University' Rankings (Established between 1945-1967) as per Times Higher Education Rank  Highest in USA in terms of number of Fullbright scholars  #10 in terms of number of patent applications in USA  Information Systems and Decision Science Department of Muma College of Business  #35 in Information Systems publication Copyright Kaushik Dutta, USF
  • 3. Introduction  Information Systems and Decision Sciences  MS in Business Analytics and Information Systems  Highest salary across graduates of all specialized masters in Florida - $91K per annum after 2 years of graduation  Recent placements – Tesla, Visa, Facebook, Twitter, Amazon, Google  Admission for Fall (August) and Spring (Jan) – GRE, TOEFL  MS in Management  Concentrations – Project Management, Management Information Systems  Target jobs – Management consulting, technical analyst  Less technical than MS in BAIS, more focused towards soft skills  BS in Management and BAIS  PhD Copyright Kaushik Dutta, USF
  • 4. Outline  Fundamentals of blockchain  Introduction  Data reliability  Cybercurrency  Public and private blockchain  Blockchain contract  Scalability  Blockchain Use Cases  Healthcare Resource management using blockchain  Conclusion  Summary Copyright Kaushik Dutta, USF
  • 5. Outline  Fundamentals of blockchain  Introduction  Data reliability  Cybercurrency  Public and private blockchain  Blockchain contract  Scalability  Blockchain Use Cases  Healthcare Resource management using blockchain  Conclusion  Summary Copyright Kaushik Dutta, USF
  • 6. What is blockchain? Copyright Kaushik Dutta, USF
  • 7. What is blockchain?  Distributed ledger  A collection of transactions are written in blocks (similar to disk block or database block or HDFS block)  Each block is coupled with the previous block by hash value of previous block Copyright Kaushik Dutta, USF
  • 8. Blockchain - Signed Data Copyright Kaushik Dutta, USF
  • 10. What is blockchain?  Each node collects new transactions into a block.  When node creates a block, it broadcasts the block to all nodes.  Blocks are created by nodes in randomized round robin fashion  Each block is signed by the creator  Nodes express their acceptance of the block by working on creating the next block in the chain, using the hash of the accepted block as the previous hash.  In case of conflict, the longest chain only survives.  Longest chain means more nodes have accepted the blocks  Majority consensus  Improves reliability and authenticity Copyright Kaushik Dutta, USF
  • 11. Majority Consensus Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Node 1 Node 2 Node 3 Node 4 Block 1 Block 2 Block 3Node 4 Block 1 Block 2 Block 3Node 5 Copyright Kaushik Dutta, USF
  • 12. Majority Consensus Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Node 1 Node 2 Node 3 Node 4 Block 4 Block 5 Block 5 Block 5Block 1 Block 2 Block 3Node 4 Block 5 Block 1 Block 2 Block 3Node 5 Block 5 Copyright Kaushik Dutta, USF
  • 13. Majority Consensus Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Node 1 Node 2 Node 3 Node 4 Block 4 Block 5 Block 5 Block 5Block 1 Block 2 Block 3Node 4 Block 5 Block 1 Block 2 Block 3Node 5 Block 5 Block 6 Block 6 Block 6 Block 6 Block 6 Copyright Kaushik Dutta, USF
  • 14. Majority Consensus Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Node 1 Node 2 Node 3 Node 4 Block 4 Block 5 Block 5 Block 5Block 1 Block 2 Block 3Node 4 Block 5 Block 1 Block 2 Block 3Node 5 Block 5 Block 6 Block 6 Block 6 Block 6 Block 6 Copyright Kaushik Dutta, USF
  • 15. Majority Consensus Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Block 1 Block 2 Block 3 Node 1 Node 2 Node 3 Node 4 Block 5 Block 5 Block 5Block 1 Block 2 Block 3Node 4 Block 5 Block 1 Block 2 Block 3Node 5 Block 5 Block 6 Block 6 Block 6 Block 6 Block 5 Block 6 Copyright Kaushik Dutta, USF
  • 16. Reliability of Data in Blockchain  Depends on the collective good behavior of nodes  What if majority nodes collude?  System can’t protect from such scenarios  Modifying a particular transaction in a block will require modifying all the previous blocks in that chain.  A computationally expensive but not impossible task  All other nodes need to agree on that change and continue to write in that modified chain Copyright Kaushik Dutta, USF
  • 17. Bitcoin  S Nakamoto (????)  Bitcoin: A Peer-to-Peer Electronic Cash System  An implementation of blockchain Copyright Kaushik Dutta, USF
  • 18. Bitcoin / Ethereum  Need further protection than nodes colluding  Creation of each block requires a predefined meaningless computation, as proof of work  Distributes the onus of creating blocks across the network  A level of difficulty is associated with each block  The chain with higher proof of work survives  Modifying a particular transaction in a block or replacing with alternate data will require more computational power than other nodes combined together  Just collusion is not enough, the colluded nodes need to invest to mine  $$$$$$$$  A non-trivial but not impossible task  Possible by large rogue organizations with financial power Copyright Kaushik Dutta, USF
  • 19. Private vs. Public Blockchain  Public blockchain – Bitcoin, Ethereum  Anyone with $ can participate  $ is needed to compensate the miner (block creator for doing the work of creating blocks – “proof of work”)  Protected by “proof of work” or the “work to be done” to modify  Associated with a currency to compensate the “proof of work”  The underline asset of the currency is “computational work” that has been done  Like gold backed currency – backed by the work that has been done to mine the gold.  Private Blockchain – Multichain, Hyperledger  Restricted to a group  Participation is based on common business interest  Protected by various consensus mechanism  Does not need to be associated with a currency Copyright Kaushik Dutta, USF
  • 26. Blockchain Contract  Contract is an executable code like a PL/SQL code  Contract can be written in various languages and is run in Virtual Machines in Blockchain (EVM in case of Ethereum)  Contract is executed by blockchain nodes based on incoming transactions and can write more transactions in the blockchain  Serves following purpose:  expressing business logic as a computer program  representing the events which trigger that logic as messages to the program  using digital signatures to prove who sent the messages  putting all of the above on a blockchain. Copyright Kaushik Dutta, USF
  • 27. Food for thoughts  Contracts vs. Stored Procedures Data Application Code Code Blockchain Application Code Code Copyright Kaushik Dutta, USF
  • 28. Food for thoughts  Contracts vs. Stored Procedures Data Application Code Code Blockchain Application Code Code Copyright Kaushik Dutta, USF
  • 29. Blockchain – Issues of Scalability  Blockchain is not a true distributed system, it is a replicated system  all of the nodes that maintain the blockchain do exactly the same thing  They verify the same transactions  They record the same items into a blockchain  They store the entire history, which is the same for all of them, for all time  Blockchain contract is executed independently in each and every node  Bitcoin: 7 Transactions per seconds  Ethereum: 10-30 Transactions per seconds  Multichain: 500-1000 transactions per seconds Copyright Kaushik Dutta, USF
  • 30. Blockchain – Issues of Scalabiity Copyright Kaushik Dutta, USF
  • 31. Blockchain – Issues of Scalability  Culprits:  Proof of work  Contract Execution  Each node stores and executes everything Copyright Kaushik Dutta, USF
  • 32. Blockchain – Solution to Scalability  Sidechain Copyright Kaushik Dutta, USF
  • 33. Blockchain – Solution to Scalability  Tangle / IOTA  No mining  No blocks  No real-time consensus  Nodes validate two old transactions to conduct their own  To be in the network you have to participate actively in validating transactions Copyright Kaushik Dutta, USF
  • 34. Outline  Fundamentals of blockchain  Introduction  Data reliability  Cybercurrency  Public and private blockchain  Blockchain contract  Scalability  Blockchain Use Cases  Healthcare Resource management using blockchain  Conclusion  Summary Copyright Kaushik Dutta, USF
  • 36. Resources  Any digital asset that can be accessed and used for business purposes  Patient record in EHR system  Educational Transcripts  Bills, Orders, Invoices Copyright Kaushik Dutta, USF
  • 39. 40 Blockchain Architecture for the Credential Management System Owner Creator User Copyright Kaushik Dutta, USF
  • 43. Blockchain Applications – Developed by USF ISDS Students  Claims Processing on IBM Hyperledger  Our aim is to implement a Healthcare claims processing system on Blockchain using IBM Hyperledger. The traditional healthcare Claim processing system is a cumbersome process involving tedious Claim intake system which involves immense coding, maintenance and consumes huge processing time. With IBM Hyperledger, we offer a simple and secure way for providers to access the Claim processing system on blockchain and using smart contracts to handle integrity checks, payments. By using a distributed ledger, blockchains deliver immutable records eliminating claim frauds and easy audits in real-time ensuring trust and potential business growth to the health insurance provider.  Blockchain for invoice financing industry  The projects intends to implement Blockchain technology as a solution for the Invoice financing industry in order to accomplish three main objectives: process enhancements, saving time and cost, and reducing significant fraud risk. The goal is to implement a permissioned business network using the Hyperledger platform, so all the main participants performing a factoring operation would have a trusted network that will improve their transactional process. Copyright Kaushik Dutta, USF
  • 44. Blockchain Applications – Developed by USF ISDS Students  Real Estate Title Transfers on the Blockchain  In property law, a title is a bundle of rights in a piece of property in which a party may own either a legal interest or equitable interest. The rights in the bundle may be separated and held by different parties. It may also refer to a formal document, such as a deed, that serves as evidence of ownership. We are aiming to build a blockchain application that will improve the current process of title transfer in real estate. The current process is vulnerable to frauds. Even though the deed may have been conveyed to a person when one purchased the home, and was likely warranted to be free and clear of outstanding liens or claims at that time, there is nothing to prevent a scammer from filing a false claim on top of your legitimate deed after closing and finalization of the conveyance. This is because County Recorders are not authorized by law to verify the legal claims made in documents. With the concepts like smart contracts, distributed consensus and verified nodes we can improve the process of the title transfer.  Blockchain Solution for Employee Resource Management  We are designing a solution will help a consortium of companies who are in the blockchain and have common clients. Our solution will help companies keep a track of employees working for their respective clients. Also, since the contracts are embedded in the blockhain itself, when an employee leaves one company and joins another, the contracts are automatically enforced. The solution will help develop trust among companies and also with their respective clients. Our solution will also help reduce cost and time spent on employee on-boarding and off-boarding processes, once the employee details are in the blockchain. Copyright Kaushik Dutta, USF
  • 46. Outline  Fundamentals of blockchain  Introduction  Data reliability  Cybercurrency  Public and private blockchain  Blockchain contract  Scalability  Blockchain Use Cases  Healthcare Resource management using blockchain  Conclusion  Summary Copyright Kaushik Dutta, USF
  • 47. 6666 Why Blockchain  To manage the ground truth  Which data is the truth  Truth – that majority agrees on (democracy!!)  Alternate truth – other data that few agrees on  To have a multi-node storage where all nodes are equal  Important for databases to support a consortium of multiple organizations  No third party entity with overhead is needed  Reduces the cost of data management Copyright Kaushik Dutta, USF
  • 48. Blockchain  What it is vs. what it is not?  Not a distributed system  All data are replicated in all nodes  Contract (EVM) - Not a distributed computing system  The same code is executed in all nodes  Immutable – for all practical purposes it is true  With sufficient financial resource it can be hacked  Data storage system for parties that don’t trust each other – trust by consensus / proof of work / validated by others  For trusted parties  Do we need anything other than centralized data storage?  What’s the advantage of blockchain in this case???  Incentivized system - custom coin / coupons Copyright Kaushik Dutta, USF
  • 49. 68 Conclusion  Blockchain can be used to manage digital resources involving multiple parties where parties do not trust each other  Fine grained access control mechanism  Event and notification handling through blockchain contract  A generic resource management framework  For post hospital continuity of care Copyright Kaushik Dutta, USF