//Generates the reliability training data for ONION attack only
public static List <ReliabilityDataPoint> GenerateReliabilityTrainingDataOnion(XORArbiterPUF xPUF, int numberOfMeasurements, double[][] trainingData, double[][] trainingReliability, Random randomGenerator)
{
List <ReliabilityDataPoint> ReliabilityDataPointList = new List <ReliabilityDataPoint>(); //This stores all the noisy and non noisy data points with appropriate APUF labels
int trainingSize = trainingData.Length;
int bitNum = xPUF.BitNumber;
for (int i = 0; i < trainingSize; i++)
{
double sumOfResponses = 0;
trainingData[i] = GenerateRandomPhiVector(bitNum, randomGenerator);
int[] previousAPUFResponses = new int[xPUF.GetPUFNum()]; //this stores all previous PUF responses to see if flip occured
List <ArbiterPUF> currentNoisyAPUFList = new List <ArbiterPUF>(); //this stores all the APUFs making the challenge noisy
for (int m = 0; m < numberOfMeasurements; m++)
{
int finalResult = 0;
for (int p = 0; p < xPUF.GetPUFNum(); p++)
{
int currentResult = xPUF.GetAPUFAtIndex(p).ComputeNoisyResponse(trainingData[i]);
finalResult = finalResult ^ currentResult;
//this is the extra part for the onion attack
if (m == 0) //this is the first time measurement being done so record responses
{
previousAPUFResponses[p] = currentResult;
}
else //compare to see if flipping occured
{
if (previousAPUFResponses[p] == currentResult)
{
//This APUF is reliable for this challenge, do nothing
}
else //This APUF is noisy for this phi
{
previousAPUFResponses[p] = currentResult; //store the new flip
if (currentNoisyAPUFList.Contains(xPUF.GetAPUFAtIndex(p)) == false) //make sure the APUF hasn't been duplicated
{
currentNoisyAPUFList.Add(xPUF.GetAPUFAtIndex(p)); //note this does NOT copy, only puts pointer in memory
}
}
}
}
//sumOfResponses = sumOfResponses + xPUF.ComputeNoisyResponse(trainingData[i]); //sum the measurements
sumOfResponses = sumOfResponses + finalResult;
}
trainingReliability[i] = new double[1];
trainingReliability[i][0] = Math.Abs(numberOfMeasurements / 2.0 - sumOfResponses);
//All measurements have been done, time to store the data point for onion analysis
if (!currentNoisyAPUFList.Any() == true) //this means no APUFs made this challenge noisy so it is reliable
{
ReliabilityDataPointList.Add(new ReliabilityDataPoint(trainingData[i], trainingReliability[i][0], false));
}
else
{
ReliabilityDataPointList.Add(new ReliabilityDataPoint(trainingData[i], trainingReliability[i][0], true, currentNoisyAPUFList));
}
}
return(ReliabilityDataPointList);
}
