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:
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.
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.
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.
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