public BigIntMatrix GetMinor(long r, long c)
{
BigIntMatrix result = new BigIntMatrix(rowsCount - 1, colsCount - 1);
long p = 0;
for (long s = 0; s < rowsCount - 1; s++)
{
if (p == r)
{
p++;
}
long q = 0;
for (long t = 0; t < colsCount - 1; t++)
{
if (q == c)
{
q++;
}
result.Mat[s, t] = Mat[p, q];
q++;
}
p++;
}
return(result);
}
private static BigIntMatrix Depermute(BigIntMatrix vect, List <int> pList, int N)
{
BigIntMatrix result = new BigIntMatrix(1, 2 * N, 0);
result = vect.SwapCol(pList);
return(result);
}
public BigIntMatrix GenerateRandomInvertibleMatrix(BigInteger p, double l0, bool isVectorMatrix)
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
bool inversible = false;
BigIntMatrix matInv = new BigIntMatrix(this.rowsCount, this.colsCount);
do
{
if (isVectorMatrix)
{
result.GenerateRandomVector(p, l0);
}
else
{
result.GenerateRandomMatrix(p, l0);
}
try
{
matInv = result.GaussJordanModInverse(p);
inversible = true;
}
catch (Exception ex)
{
inversible = false;
}
} while (!inversible);
Mat = result.Mat;
return(matInv);
}
private static BigIntMatrix[] permute(BigIntMatrix[] GivenMatrix, long n, List <int> pList, int N)
{
BigIntMatrix[] result = new BigIntMatrix[n];//, N, 2 * N];
for (long i = 0; i < n; i++)
{
result[i] = new BigIntMatrix(N, 2 * N);
result[i] = GivenMatrix[i].SwapCol(pList);
}
return(result);
}
public BigIntMatrix MatrixDuplicate()
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
for (long i = 0; i < rowsCount; i++)
{
for (long j = 0; j < colsCount; j++)
{
result.Mat[i, j] = Mat[i, j];
}
}
return(result);
}
public BigIntMatrix SwapCol(List <int> pList)
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
for (int j = 0; j < this.rowsCount; j++)
{
for (int k = 0; k < this.colsCount; k++)
{
long k2 = pList[k];
result.Mat[j, k2] = this.Mat[j, k];
}
}
return(result);
}
public BigIntMatrix Append(BigIntMatrix c2, AppendMode appendMode)
{
BigIntMatrix result;
if (appendMode == AppendMode.Beside)
{
result = new BigIntMatrix(this.rowsCount, this.colsCount + c2.colsCount);
if (this.rowsCount == c2.rowsCount)
{
for (int i = 0; i < this.rowsCount; i++)
{
for (int j = 0; j < this.colsCount; j++)
{
result.Mat[i, j] = this.Mat[i, j];
}
for (int j = 0; j < c2.colsCount; j++)
{
result.Mat[i, j + c2.colsCount] = c2.Mat[i, j];
}
}
}
else
{
throw new System.ArgumentException("Matrices have no equal rows", "original");
}
}
else
{
result = new BigIntMatrix(this.rowsCount + c2.rowsCount, this.colsCount);
if (this.colsCount == c2.colsCount)
{
for (int j = 0; j < this.colsCount; j++)
{
for (int i = 0; i < this.rowsCount; i++)
{
result.Mat[i, j] = this.Mat[i, j];
}
for (int i = 0; i < c2.rowsCount; i++)
{
result.Mat[i + this.rowsCount, j] = c2.Mat[i, j];
}
}
}
else
{
throw new System.ArgumentException("Matrices have no equal columns", "original");
}
}
return(result);
}
public static BigIntMatrix operator %(BigIntMatrix c1, BigInteger p)
{
BigIntMatrix result = new BigIntMatrix(c1.rowsCount, c1.colsCount);
for (long i = 0; i < c1.rowsCount; i++)
{
for (long j = 0; j < c1.colsCount; j++)
{
result.Mat[i, j] = c1.Mat[i, j] % p;
if (result.Mat[i, j] < 0)
{
result.Mat[i, j] += p;
}
}
}
return(result);
}
public BigIntMatrix Modulus(BigInteger p)
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
for (long i = 0; i < rowsCount; i++)
{
for (long j = 0; j < colsCount; j++)
{
result.Mat[i, j] = Mat[i, j] % p;
if (result.Mat[i, j] < 0)
{
result.Mat[i, j] += p;
}
}
}
return(result);
}
public BigIntMatrix RemoveRow(long r)
{
BigIntMatrix result = new BigIntMatrix(rowsCount - 1, colsCount);
long p = 0;
for (long s = 0; s < rowsCount - 1; s++)
{
if (p == r)
{
p++;
}
for (long t = 0; t < colsCount; t++)
{
result.Mat[s, t] = Mat[p, t];
}
p++;
}
return(result);
}
public BigIntMatrix RemoveCol(long c)
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount - 1);
for (long s = 0; s < rowsCount; s++)
{
long q = 0;
for (long t = 0; t < colsCount - 1; t++)
{
if (q == c)
{
q++;
}
result.Mat[s, t] = Mat[s, q];
q++;
}
}
return(result);
}
public static BigIntMatrix operator *(BigIntMatrix c1, BigInteger n)
{
BigIntMatrix result = new BigIntMatrix(c1.rowsCount, c1.colsCount);
if (c1.colsCount == c1.rowsCount)
{
for (int i = 0; i < result.rowsCount; i++)
{
for (int j = 0; j < result.rowsCount; j++)
{
result.Mat[i, j] = c1.Mat[i, j] * n;
}
}
}
else
{
throw new System.ArgumentException("First matrix row should be equal to the second matrix col", "original");
}
return(result);
}
public BigIntMatrix dotMul(BigIntMatrix c2)
{
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
if (rowsCount != c2.rowsCount || colsCount != c2.colsCount)
{
throw new System.ArgumentException("Matrices dimentions should be the same", "original");
}
else
{
for (long i = 0; i < rowsCount; i++)
{
for (long j = 0; j < colsCount; j++)
{
result.Mat[i, j] = Mat[i, j] * c2.Mat[i, j];
}
}
}
return(result);
}
public static BigIntMatrix operator -(BigIntMatrix c1, BigIntMatrix c2)
{
BigIntMatrix result = new BigIntMatrix(c1.rowsCount, c1.colsCount);
if (c1.rowsCount != c2.rowsCount || c1.colsCount != c2.colsCount)
{
throw new System.ArgumentException("Matrices dimentions should be the same", "original");
}
else
{
for (long i = 0; i < c1.rowsCount; i++)
{
for (long j = 0; j < c1.colsCount; j++)
{
result.Mat[i, j] = c1.Mat[i, j] - c2.Mat[i, j];
}
}
}
return(result);
}
public BigIntMatrix GetSubMatrix(long FromRow, long RowCount, long FromCol, long ColCount)
{
BigIntMatrix result;
if (FromRow < 0 || FromRow > this.rowsCount || FromCol < 0 || FromCol > this.colsCount || FromRow + RowCount > this.rowsCount || FromCol + ColCount > this.colsCount)
{
throw new System.ArgumentException("Given indices are out of matrix range", "original");
}
else
{
result = new BigIntMatrix(RowCount, ColCount);
for (long i = 0; i < RowCount; i++)
{
for (long j = 0; j < ColCount; j++)
{
result.Mat[i, j] = this.Mat[i + FromRow, j + FromCol];
}
}
}
return(result);
}
private BigIntMatrix CreateUserQuery(BigIntMatrix[] Ms, BigInteger[,] splitted, int N, long n, BigInteger p)
{
int len = splitted.GetLength(0) * splitted.GetLength(1);
BigIntMatrix Mat = new BigIntMatrix(len, 2 * N, 0);
int l = 0;
for (long i = 0; i < n; i++)
{
for (long j = 0; j < N; j++)
{
for (int k = 0; k < 2 * N; k++)
{
//BigInteger num = BigInteger.Remainder(BigInteger.Multiply(splitted[i][j], Ms[i, j, k]), p);
BigInteger tmp = BigInteger.Multiply(splitted[i, j], Ms[i].GetElement(j, k));
Mat.SumElement(l, k, tmp);
//V[0, k] = MyClass.mod((long)V[0, k], p);
}
l++;
}
}
return(Mat.Modulus(p));
}
public BigIntMatrix getAndProcessRequest(BigIntMatrix[] Ms, int l0, int N, BigInteger p)
{
txtLog.AppendText("---------------------------- Server Started query process --------------------------");
Stopwatch sw = new Stopwatch();
sw.Start();
BigInteger[,] splittedList = spliteDB(l0, ll, N);
/******* show splited list ******
* for (long i = 0; i < splittedList.GetLength(0); i++)
* {
* txtLog.AppendText(">>>>>>>>>> Splited Item({0})...", i);
* for (long j = 0; j < splittedList.GetLength(1); j++)
* {
* txtLog.AppendText("> Splited({0}): {1}", j, splittedList[i,j]);
* }
* }
* /*****************************/
BigIntMatrix Mat = CreateUserQuery(Ms, splittedList, N, n, p);
BigIntMatrix V = new BigIntMatrix(1, 2 * N, 0);
long len = splittedList.GetLength(0) * splittedList.GetLength(1);
for (int i = 0; i < len; i++)
{
for (int j = 0; j < 2 * N; j++)
{
V.SumElement(0, j, Mat.GetElement(i, j));
}
}
sw.Stop();
Protocol2Time = sw.ElapsedMilliseconds;
//txtLog.AppendText(">>>>>>>>>> Matrix Mat: {0}", Mat.ToString());
txtLog.AppendText(V.Modulus(p).Print("Matrix V"));
txtLog.AppendText("---------------------------- Server Finished query process --------------------------");
return(V.Modulus(p));
}
public static BigIntMatrix operator *(BigIntMatrix c1, BigIntMatrix c2)
{
BigIntMatrix result = new BigIntMatrix(c1.rowsCount, c2.colsCount);
if (c1.colsCount == c2.rowsCount)
{
for (int i = 0; i < result.rowsCount; i++)
{
for (int j = 0; j < result.colsCount; j++)
{
result.Mat[i, j] = 0;
for (int k = 0; k < c1.colsCount; k++) // OR k<c2.rowsCount
{
result.Mat[i, j] += c1.Mat[i, k] * c2.Mat[k, j];
}
}
}
}
else
{
throw new System.ArgumentException("First matrix row should be equal to the second matrix col", "original");
}
return(result);
}
//---- Gauss Jordan Matrix Mod-Inverse ---
public BigIntMatrix GaussJordanModInverse(BigInteger p)
{
BigIntMatrix workMat = new BigIntMatrix(2 * rowsCount, 2 * colsCount);
//--- build work matrix ---
long n = this.rowsCount;
for (long i = 0; i < n; i++)
{
for (long j = 0; j < n; j++)
{
workMat.Mat[i, j] = this.Mat[i, j];
}
workMat.Mat[i, i + n] = 1;
}
// --- partial pivoting ---
for (long i = n - 1; i > 0; i--)
{
if (workMat.Mat[i - 1, 0] < workMat.Mat[i, 0])
{
for (long j = 0; j < 2 * n; j++)
{
BigInteger d = workMat.Mat[i, j];
workMat.Mat[i, j] = workMat.Mat[i - 1, j];
workMat.Mat[i - 1, j] = d;
}
}
}
// --- reducing to diagnoal matrix ---
for (int i = 0; i < n; i++)
{
BigInteger mi = MathClass.EEA(workMat.Mat[i, i], p);
for (int j = 0; j < 2 * n; j++)
{
if (i != j)
{
BigInteger d = workMat.Mat[j, i] * mi;
for (int k = 0; k < 2 * n; k++)
{
workMat.Mat[j, k] = MathClass.mod(workMat.Mat[j, k] - workMat.Mat[i, k] * d, p);
}
}
}
}
BigIntMatrix result = new BigIntMatrix(rowsCount, colsCount);
//--- reducing to unit matrix ---
for (int i = 0; i < n; i++)
{
BigInteger d = MathClass.EEA(workMat.Mat[i, i], p);
for (int j = 0; j < 2 * n; j++)
{
workMat.Mat[i, j] = workMat.Mat[i, j] * d;
}
for (int j = 0; j < n; j++)
{
//--- check whether matrix is inversible or not ---
if (i != j && workMat.Mat[i, j] != 0)
{
throw new System.ArgumentException("ERROR: Matrix is not inversible...", "Matrix inversion error");
}
result.Mat[i, j] = MathClass.mod(workMat.Mat[i, j + n], p);
}
}
return(result);
}
private void btnSendRequest_Click(object sender, EventArgs e)
{
BigIntMatrix V = frmParent.getAndProcessRequest(Ms, l0, N, p);
//MessageBox.Show("Your request has been sent to the server...", "request is on going", MessageBoxButtons.OK, MessageBoxIcon.Information);
txtLog.AppendText("\r\n---------------------------- Server Respond to the query ------------------------------------");
txtLog.AppendText(V.Print("Result Vector from server"));
//--- DePermute V ---
Stopwatch sw = new Stopwatch();
sw.Start();
BigIntMatrix VPrime = Depermute(V, dePermutList, N);
BigIntMatrix undisturbedHalf = VPrime.GetSubMatrix(0, 1, 0, N);
//BigIntMatrix invA = A.ModInverse(p);
//***---- BigIntMatrix invA = A.GaussJordanModInverse(p);
BigIntMatrix resultHalf = undisturbedHalf * invA * B % p;
BigIntMatrix undisturbedVector = undisturbedHalf.Append(resultHalf, BigIntMatrix.AppendMode.Beside);
BigIntMatrix ScrambledNoise = (VPrime - undisturbedVector) % p;
//BigIntMatrix invDelta = Delta.ModInverse(p);
//***---- invDelta = Delta.GaussJordanModInverse(p);
BigIntMatrix halfScrambledNoise = ScrambledNoise.GetSubMatrix(0, 1, N, N);
BigIntMatrix unScrambledNoise = halfScrambledNoise * invDelta % p;
//BigInteger[] eea = MyClass.Extended_GCD(q, p);
//---BigInteger qInv = MathClass.NumberModInverse(q, p);
BigInteger qInv = MathClass.EEA(q, p);
//long qInv = (long)eea[1];
BigInteger[,] eJegon = new BigInteger[1, N];
for (int i = 0; i < N; i++)
{
BigInteger epsilon = MathClass.mod(unScrambledNoise.GetElement(0, i), q);
if (epsilon >= q / 2)
{
epsilon -= q;
}
eJegon[0, i] = MathClass.mod(unScrambledNoise.GetElement(0, i) - epsilon, p);
eJegon[0, i] *= qInv;// % p;//MyClass.mod((long)eJegon[0, i] * qInv, p);
}
//Matrix<double> ResultVector = Matrix<double>.Build.DenseOfArray(eJegon).Multiply(qInv).Modulus(p);
BigIntMatrix ResultVector = new BigIntMatrix(eJegon).Modulus(p);
BigInteger[] resVect = new BigInteger[N];
for (int i = 0; i < N; i++)
{
resVect[i] = ResultVector.GetElement(0, i);
}
BigInteger result = 0;
for (int i = 0; i < N; i++)
{
result <<= l0;
result += resVect[i];
}
sw.Stop();
Protocol3Time = sw.ElapsedMilliseconds;
txtLog.AppendText(ResultVector.Print("Obtained Result Vector"));
txtLog.AppendText(invA.Print("Inv A"));
txtLog.AppendText(invDelta.Print("Inv Delta"));
txtLog.AppendText("\r\n>>>>>>>>>> Inv q = " + qInv.ToString());
txtLog.AppendText("\r\n>>>>>>>>>> Obtained Result for index(" + i0.ToString() + "): " + result.ToString());
txtLog.AppendText("\r\n--------------------------------------------- Timing ----------------------------------------------------");
long totalDuration = Protocol1Time + Protocol3Time + frmParent.Protocol2Time;
txtLog.AppendText("\r\n>>> Protocol 1 Duration: " + Protocol1Time.ToString());
txtLog.AppendText("\r\n>>> Protocol 2 Duration: " + frmParent.Protocol2Time.ToString());
txtLog.AppendText("\r\n>>> Protocol 3 Duration: " + Protocol3Time.ToString());
txtLog.AppendText("\r\n>>> Total Duration: " + totalDuration.ToString());
txtLog.AppendText("\r\n>>> Matrix Process Duration: " + MatrixProcessTime.ToString());
txtLog.AppendText("\r\n>>> Deference check: " + (frmParent.getValueByIndex(i0) - result).ToString());
txtLog.AppendText("\r\n--------------------------------------------- Timing ----------------------------------------------------");
txtResult.Text = result.ToString();
txtReturnTime.Text = totalDuration.ToString();
MessageBox.Show("Query process has been finished successfully...", "Query Operation", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
private void btnSetupRequest_Click(object sender, EventArgs e)
{
txtReturnTime.Text = "0";
txtResult.Text = "-";
btnSendRequest.Enabled = false;
n = frmParent.n;
this.i0 = (int)nud_i0.Value;
int NI = 1;
while ((Math.Ceiling(Math.Log(n * NI)) + 1) * NI < frmParent.ll)
{
NI++;
}
N = NI;
l0 = (int)Math.Ceiling(Math.Log(n * N)) + 1;
q = BigInteger.Pow(2, 2 * l0);
p = MathClass.GenerateLargePrime(l0);
nud_i0.Maximum = n;
txtN.Text = N.ToString();
txt_n.Text = n.ToString();
txt_p.Text = p.ToString();
txt_q.Text = q.ToString();
txt_l0.Text = l0.ToString();
Stopwatch sw = new Stopwatch();
sw.Start();
MPrime = new BigIntMatrix[n];
A = new BigIntMatrix(N, N);
B = new BigIntMatrix(N, N);
Delta = new BigIntMatrix(N, N);
invA = A.GenerateRandomInvertibleMatrix(p, l0, false);
B.GenerateRandomMatrix(p, l0);
M = A.Append(B, BigIntMatrix.AppendMode.Beside);
invDelta = Delta.GenerateRandomInvertibleMatrix(p, l0, true);
txtLog.AppendText(A.Print("A"));
txtLog.AppendText(B.Print("B"));
txtLog.AppendText(M.Print("M"));
txtLog.AppendText(Delta.Print("Delta"));
BigIntMatrix P, Ai, Bi, D;
P = new BigIntMatrix(N, N);
D = new BigIntMatrix(N, N);
Ai = new BigIntMatrix(N, N);
Bi = new BigIntMatrix(N, N);
txtLog.AppendText("\r\n>>> N: " + N.ToString());
txtLog.AppendText("\r\n---------------------------- Matrix Operations Started --------------------------");
Stopwatch swMat = new Stopwatch();
swMat.Start();
for (long i = 0; i < n; i++)
{
// --- M Jegon ---
//---P.GenerateRandomInvertibleMatrix(p, l0, false);
P.GenerateRandomMatrix(p, l0);
// --- Soft Noise Matrix D ---
D.GenerateSoftNoiseMatrix();
// --- hard noise ---
if (i == i0)
{
D.GenerateHardNoiseMatrix(q);
}
else
{
D.GenerateSoftNoiseMatrix();
}
Ai = P * A;
Bi = (P * B) + (D * Delta);
MPrime[i] = Ai.Append(Bi, BigIntMatrix.AppendMode.Beside) % p;
}
swMat.Stop();
MatrixProcessTime = swMat.ElapsedMilliseconds;
txtLog.AppendText("\r\n>>> Matrix Process Duration: " + MatrixProcessTime.ToString());
txtLog.AppendText("\r\n---------------------------- Matrix Operations Finished --------------------------");
// --- make permutation & depermiutation vector ---
Random rnd = new Random(DateTime.Now.Millisecond);
List <int> tmpList = new List <int>();
List <int> permutList = new List <int>();
dePermutList.Clear();
for (int i = 0; i < 2 * N; i++)
{
tmpList.Add(i);
dePermutList.Add(0);
}
int j = 0;
while (tmpList.Count > 0)
{
int i = rnd.Next(tmpList.Count);
permutList.Add(tmpList[i]);
dePermutList[tmpList[i]] = j++;
tmpList.RemoveAt(i);
}
Ms = permute(MPrime, n, permutList, N);
sw.Stop();
Protocol1Time = sw.ElapsedMilliseconds;
btnSendRequest.Enabled = true;
txtLog.AppendText("\r\n---------------------------- Request has been sent to the server --------------------------");
}
