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How to Implement Network Multi Party Computation in OMNeT++

To implement network Multi-Party Computation (MPC) in OMNeT++ has needs to emulate the scenario in which the multiple parties calculate a function over their inputs while keeping those inputs private. MPC is a key concept in cryptographic protocols in which the multiple participants jointly calculate a function over their inputs without enlightening those inputs to each other. The below are the procedures to execute the simple simulation of network Multi-Party Computation in OMNeT++:

Step-by-Step Implementation:

  1. Set up OMNeT++ and INET Framework
  • Make sure that OMNeT++ and the INET framework are installed and properly configured.
  • Generate a new project in OMNeT++ and contains the INET framework that deliver essential network modules and tools.
  1. Design the Network Topology
  • Describbe the network topology in a .ned file. This topology should contains the multiple hosts that denotes the parties involved in the computation and possibly a central server that coordinates the computation.

Example .ned file:

network MPCNetwork {

submodules:

party1: StandardHost {

@display(“p=100,200”);

}

party2: StandardHost {

@display(“p=100,300”);

}

party3: StandardHost {

@display(“p=100,400”);

}

server: StandardHost {

@display(“p=300,300”);

}

router: Router {

@display(“p=200,300”);

}

connections:

party1.ethg++ <–> Ethernet100M <–> router.pppg++;

party2.ethg++ <–> Ethernet100M <–> router.pppg++;

party3.ethg++ <–> Ethernet100M <–> router.pppg++;

router.pppg++ <–> Ethernet1G <–> server.ethg++;

}

This network has three parties and a central server, all connected through a router.

  1. Implement the MPC Protocol
  • Execute the MPC protocol logic in the hosts and this logic should manage the secure exchange of partial computations and the aggregation of outcomes.

Example of a basic MPC protocol implementation:

class MPCParty : public cSimpleModule {

protected:

virtual void initialize() override;

virtual void handleMessage(cMessage *msg) override;

void sendPartialComputation();

void receivePartialComputation(cMessage *msg);

};

void MPCParty::initialize() {

// Start the MPC process

if (getIndex() == 0) {  // Assuming party1 starts the process

scheduleAt(simTime() + 1, new cMessage(“startMPC”));

}

}

void MPCParty::handleMessage(cMessage *msg) {

if (strcmp(msg->getName(), “startMPC”) == 0) {

sendPartialComputation();

} else if (msg->isPacket()) {

receivePartialComputation(msg);

}

}

void MPCParty::sendPartialComputation() {

// Simulate partial computation

int partialResult = intuniform(1, 100);  // Random value as a placeholder

EV << “Party ” << getIndex() + 1 << ” computed partial result: ” << partialResult << endl;

// Send the partial result to the server

cPacket *packet = new cPacket(“partialComputation”);

packet->addPar(“result”) = partialResult;

send(packet, “out”);

}

void MPCParty::receivePartialComputation(cMessage *msg) {

// Process the received partial result

int receivedResult = msg->par(“result”).intValue();

EV << “Party ” << getIndex() + 1 << ” received partial result: ” << receivedResult << endl;

// Combine results (this would be more complex in a real MPC protocol)

int combinedResult = receivedResult;  // Placeholder for actual combination logic

// If this party is the server, it can aggregate the results

if (strcmp(getName(), “server”) == 0) {

EV << “Server aggregated result: ” << combinedResult << endl;

// Further processing or return final result to parties

}

delete msg;

}

This module manages the generation of a partial computation, sends it to the server, and processes received outcomes. The actual MPC logic would includes more complex cryptographic operations and secure protocols.

  1. Simulate Traffic and Communication
  • Setup the communication among parties to emulate the exchange of partial outcomes and the final computation. This can contains TCP or UDP-based communication relaying on the protocol’s necessities.

Example of configuring communication:

*.party1.numApps = 1

*.party1.app[0].typename = “MPCParty”

*.party2.numApps = 1

*.party2.app[0].typename = “MPCParty”

*.party3.numApps = 1

*.party3.app[0].typename = “MPCParty”

*.server.numApps = 1

*.server.app[0].typename = “MPCParty”

This configuration sets up each party and the server to participate in the MPC process.

  1. Run the Simulation
  • Implement the simulation in OMNeT++ to monitor how the MPC process operates. observe the exchange of partial outcomes, the aggregation of outcomes, and the final outcome.
  • To visualize the communication among parties, examine the packet contents, and make sure that the MPC protocol is functioning correctly using OMNeT++’s built-in tools.
  1. Analyse the Results
  • After executing the simulation, measure the efficiency of the MPC protocol. Concentrate on the parameters like the correctness of the final result, the communication overhead, and the security of the exchanged messages.
  • Analyse whether the protocol properly maintains the privacy of the inputs and creates the correct aggregated the outcomes.
  1. Optimize and Extend
  • Based on the analysis, refine the MPC protocol implementation to enhance performance, minimize communication overhead, or enhance security.
  • To deliberate to expanding the simulation to contain more complex MPC protocols, like those based on secret sharing, homomorphic encryption, or garbled circuits.
  • We can also emulate more challenging network conditions like packet loss, latency, or malicious participants, to verify the resilience of the MPC protocol.

Conclusively, we all know and understand the network Multi-Party Computation has to calculate the function that were executed using OMNeT++ tool and also we offer the more information regarding the Multi-Party Computation.  We specialize in enhancing network performance in Network Multi Party Computation, and you can trust our services. Share your project details with us, and we’ll provide you with the guidance you need. Our researchers can also help you brainstorm more project ideas in Network Multi Party Computation using OMNeT++. Reach out to us today for the best results and simulations!

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