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“A BLOCKCHAIN BASED TRUTHFUL INCENTIVE
MECHANISM FOR DISTRIBUTED P2P
APPLICATIONS”
A
BLOCK-CHAIN BASED
TRUTHFUL INCENTIVE MECHANISM
FOR
DISTRIBUTED P2P APPLICATIONS
WHAT IS BLOCKCHAIN
Stores all its transactions onto a public database called as Blockchain.
Features:
• Decentralization
• Transparency
• Immutability
• P2P Network
• Secure Transaction
Fundamentally How Block Chain
is Formed
BLOCKCHAIN P2P SYSTEM
TRANSACTIONS OF BITCOIN
USING
BLOCKCHAIN
TX=(TY, PKB, V, SIGSKA
(TY, PKB, V))
THREAT MODEL AND ASSUMPTIONS
TRANSACTION MODEL USING BLOCK CHAIN
Points to pay attentions :
who pays whom
how to pay the bill
how much the payer should pay
how to guarantee that the transaction is secure
BLOCKCHAIN BASED TRUTHFUL
INCENTIVE MECHANISM
A. WHO PAYS WHO?
.
In this study, we choose to award only those nodes that contribute to a successful delivery,
which means that an intermediate node cannot get a reward if the receiver does not
receive the message correctly
HOW TO PAY THE BILL
HOW MUCH SHOULD THE PAYERS PAY?
pi = α/2^ n−1 , if i ∈ P,
= β, if i = E,
= 0, otherwise.
Types of Cheating
Behavior
1. Not sending signed Acknowledgement to previous
node.
2. Does not Provide Validation Info.
4. Does not receive but falsely claims to receive
ata.
5. It is an intermediate node colludes with its
neighbors.
3. Provides Vague Validation Info.
DATA-TRANSMISSION GAME
a. Players – N+1 Player, 1 => Receiver
b. Strategies – Honest/ Selfish
c. Utilities
If Pi send acknowledgement to any other node but not to
previous node then Pi-1 validation can’t be done as Pi-1 keeps
acknowledgement secret by encryption and Pi can’t get the
payment.
If Pi can’t give validation info then Pi can’t get payment Pi-1->Pi.
If Pi falsely claims to receive data, it can’t provide Ri and then
transaction Payment A->P1 can’t be verified and E(Pi) wont get
payment… and if data is important to E then cheating will
damage its benefit.
SECURITY ANALYSIS WITHOUT COLLUSION
ATTACKS
SECURITY ANALYSIS WITH COLLUSION ATTACKS
2. Incentive mechanism is Intermediate-node-collusion
resistant
Case 1: Intermediate Nodes Colludes with neighbors to
extend the path.
Case 2: An intermediate node colludes with neighbor to
shorten path.
1. Incentive mechanism is receiver-collusion-resistant if
where q -> probability that two arbitrary nodes encounter
each other.
3. Incentive mechanism is Intermediate node collusion
resistant.
UTILITY EVALUATION
1. Overheads that includes system configuration.
Table given below represents CPU processing times.
2. Utility Evaluation
 Utility of a positive cooperative node.
 Utility of the receiver.
CONCLUSION
1. Incentive Mechanism that can work in dynamic and
distributed P2P environment.
2. Intermediate nodes that helps in successful delivery can
obtain reward from Blockchain transactions.
3. Commutative encryption used for securely verifying
transactions.
4. Pricing strategy proposed for security of incentive
mechanism which includes detection of selfish users, users
who breaks the chain of transaction.
5. Static game model used to demonstrate security strength of
incentive mechanism.
FUTURE RESEARCH SCOPES
1. Consider issues of a sender colluding with its receiver.
2. Introducing reputation based incentive scheme.
3. Considering contradiction of incentive and privacy in
our scheme.
4. Bring certain extensions like zero-knowledge proof and
blind signature to Blockchain.
Thank You…
Name
Aakashjit Bhattacharya
Banashree Chatterjee
Bilash Halder
Chinmoy Das
REFERENCES
“A Blockchain Based Truthful Incentive
Mechanism for Distributed P2P Applications”
by Yunhua He, Hong Li
https://steemit.com/blog/@khassan/cryptocurr
encies-and-blockchain-are-becoming-a-hot-
trend-in-the-job-market

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A Blockchain Based Truthful Incentive Mechanism for Distributed P2P Applications

  • 1. “A BLOCKCHAIN BASED TRUTHFUL INCENTIVE MECHANISM FOR DISTRIBUTED P2P APPLICATIONS”
  • 2. A BLOCK-CHAIN BASED TRUTHFUL INCENTIVE MECHANISM FOR DISTRIBUTED P2P APPLICATIONS
  • 3. WHAT IS BLOCKCHAIN Stores all its transactions onto a public database called as Blockchain. Features: • Decentralization • Transparency • Immutability • P2P Network • Secure Transaction
  • 4. Fundamentally How Block Chain is Formed
  • 5.
  • 8. THREAT MODEL AND ASSUMPTIONS
  • 10. Points to pay attentions : who pays whom how to pay the bill how much the payer should pay how to guarantee that the transaction is secure BLOCKCHAIN BASED TRUTHFUL INCENTIVE MECHANISM
  • 11. A. WHO PAYS WHO? . In this study, we choose to award only those nodes that contribute to a successful delivery, which means that an intermediate node cannot get a reward if the receiver does not receive the message correctly
  • 12. HOW TO PAY THE BILL
  • 13. HOW MUCH SHOULD THE PAYERS PAY? pi = α/2^ n−1 , if i ∈ P, = β, if i = E, = 0, otherwise.
  • 14. Types of Cheating Behavior 1. Not sending signed Acknowledgement to previous node. 2. Does not Provide Validation Info. 4. Does not receive but falsely claims to receive ata. 5. It is an intermediate node colludes with its neighbors. 3. Provides Vague Validation Info.
  • 15. DATA-TRANSMISSION GAME a. Players – N+1 Player, 1 => Receiver b. Strategies – Honest/ Selfish c. Utilities
  • 16. If Pi send acknowledgement to any other node but not to previous node then Pi-1 validation can’t be done as Pi-1 keeps acknowledgement secret by encryption and Pi can’t get the payment. If Pi can’t give validation info then Pi can’t get payment Pi-1->Pi. If Pi falsely claims to receive data, it can’t provide Ri and then transaction Payment A->P1 can’t be verified and E(Pi) wont get payment… and if data is important to E then cheating will damage its benefit. SECURITY ANALYSIS WITHOUT COLLUSION ATTACKS
  • 17. SECURITY ANALYSIS WITH COLLUSION ATTACKS 2. Incentive mechanism is Intermediate-node-collusion resistant Case 1: Intermediate Nodes Colludes with neighbors to extend the path. Case 2: An intermediate node colludes with neighbor to shorten path. 1. Incentive mechanism is receiver-collusion-resistant if where q -> probability that two arbitrary nodes encounter each other. 3. Incentive mechanism is Intermediate node collusion resistant.
  • 18. UTILITY EVALUATION 1. Overheads that includes system configuration. Table given below represents CPU processing times. 2. Utility Evaluation  Utility of a positive cooperative node.  Utility of the receiver.
  • 19. CONCLUSION 1. Incentive Mechanism that can work in dynamic and distributed P2P environment. 2. Intermediate nodes that helps in successful delivery can obtain reward from Blockchain transactions. 3. Commutative encryption used for securely verifying transactions. 4. Pricing strategy proposed for security of incentive mechanism which includes detection of selfish users, users who breaks the chain of transaction. 5. Static game model used to demonstrate security strength of incentive mechanism.
  • 20. FUTURE RESEARCH SCOPES 1. Consider issues of a sender colluding with its receiver. 2. Introducing reputation based incentive scheme. 3. Considering contradiction of incentive and privacy in our scheme. 4. Bring certain extensions like zero-knowledge proof and blind signature to Blockchain.
  • 21. Thank You… Name Aakashjit Bhattacharya Banashree Chatterjee Bilash Halder Chinmoy Das
  • 22. REFERENCES “A Blockchain Based Truthful Incentive Mechanism for Distributed P2P Applications” by Yunhua He, Hong Li https://steemit.com/blog/@khassan/cryptocurr encies-and-blockchain-are-becoming-a-hot- trend-in-the-job-market