protected void ransomedetect_Click(object sender, EventArgs e)
{
row = r._Ransomeware.NewRansomewareRow();
row._Protocol = Convert.ToDouble(protocol.Text);
row._FlowDuration = Convert.ToDouble(flowduration.Text);
row._TotalBackwardPackets = Convert.ToDouble(totalbackpack.Text);
row._FwdPacketLengthMax = Convert.ToDouble(maxfwdpack.Text);
row._FwdPacketLengthMin = Convert.ToDouble(minfwdpack.Text);
row._BwdPacketLengthMin = Convert.ToDouble(minbackpack.Text);
row._BwdPacketLengthMean = Convert.ToDouble(meanbackpack.Text);
row._BwdPacketLengthStd = Convert.ToDouble(stdbackpack.Text);
row.FlowBytes = Convert.ToDouble(FlowBytes.Text);
row._FlowPackets = Convert.ToDouble(FlowBytes.Text);
row._FlowIATMean = Convert.ToDouble(meaniat.Text);
row._FlowIATStd = Convert.ToDouble(stdiat.Text);
row._FlowIATMin = Convert.ToDouble(miniat.Text);
row._FwdIATMean = Convert.ToDouble(meaniatfwdpack.Text);
row._FwdIATStd = Convert.ToDouble(stdiatfwdpack.Text);
row._FwdIATMax = Convert.ToDouble(maxiatfwdpack.Text);
row._FwdIATMin = Convert.ToDouble(miniatfwdpack.Text);
row.BwdIATTotal = Convert.ToDouble(BwdIATTotal.Text);
row._BwdIATStd = Convert.ToDouble(stdiatbackpack.Text);
row._BwdIATMax = Convert.ToDouble(maxiatbackpack.Text);
row.FwdPacketspersec = Convert.ToDouble(FwdPacketspersec.Text);
row._BwdPacketspersec = Convert.ToDouble(BwdPacketsperse.Text);
row._MinPacketLength = Convert.ToDouble(minpacklen.Text);
row._MaxPacketLength = Convert.ToDouble(maxpacklen.Text);
row._PacketLengthStd = Convert.ToDouble(stdpacklen.Text);
row._DownorUpRatio = Convert.ToDouble(DUratio.Text);
row._AveragePacketSize = Convert.ToDouble(avgpacksize.Text);
row._AvgFwdSegmentSize = Convert.ToDouble(avgfwdseg.Text);
row._AvgBwdSegmentSize = Convert.ToDouble(avgbackseg.Text);
row.Init_Win_bytes_forward = Convert.ToDouble(Init_Win_bytes_forward.Text);
row._Init_Win_bytes_backward = Convert.ToDouble(backdirec.Text);
row.ActiveMean = Convert.ToDouble(ActiveMean.Text);
row._ActiveStd = Convert.ToDouble(stdactiveflow.Text);
row._Active_Max = Convert.ToDouble(maxactiveflow.Text);
row._Active_Min = Convert.ToDouble(minactiveflow.Text);
row.IdleMean = Convert.ToDouble(IdleMean.Text);
row._IdleMax = Convert.ToDouble(IdleMax.Text);
row._IdleMin = Convert.ToDouble(IdleMin.Text);
row._IdleStd = Convert.ToDouble(stdidleflow.Text);
// row.FwdPSHFlags = Convert.ToBoolean(FwdPSHFlags.Text);
// row._Bwd_PSH_Flags = Convert.ToBoolean(BwdPSHFlags.Text);
// row.FINFlagCount = Convert.ToBoolean(FINFlagCount.Text);
// row._SYNFlagCount = Convert.ToBoolean(synbit.Text);
// row._ACKFlagCount = Convert.ToBoolean(flagbit.Text);
// row._URGFlagCount = Convert.ToBoolean(urgflagbit.Text);
//row._PSHFlagCount = Convert.ToBoolean(pshbit.Text);
// row._SourceIP = SourceIP.Text;
//row._Destination_IP = DestinationIP.Text;
if (isfwdtrue.Checked)
{
row.FwdPSHFlags = true;
}
else
{
row.FwdPSHFlags = false;
}
if (isbwdtrue.Checked)
{
row._Bwd_PSH_Flags = true;
}
else
{
row._Bwd_PSH_Flags = false;
}
if (ispshtrue.Checked)
{
row._PSHFlagCount = true;
}
else
{
row._PSHFlagCount = false;
}
if (issyntrue.Checked)
{
row._SYNFlagCount = true;
}
else
{
row._SYNFlagCount = false;
}
if (isacktrue.Checked)
{
row._ACKFlagCount = true;
}
else
{
row._ACKFlagCount = false;
}
if (isfinishtrue.Checked)
{
row.FINFlagCount = true;
}
else
{
row.FINFlagCount = false;
}
if (isurgtrue.Checked)
{
row._URGFlagCount = true;
}
else
{
row._URGFlagCount = false;
}
r._Ransomeware.Rows.Add(row);
p.Update(row);
int s = Convert.ToInt32(p.maxid());
Response.Redirect("checkransomware.aspx?q=" + s);
}
protected void Page_Load(object sender, EventArgs e)
{
int s = Convert.ToInt32(Request.QueryString["q"]);
p.Fill(r._Ransomeware);
row = r._Ransomeware.FindById(s);
int k;
if (row.FwdPSHFlags == true)
{
k = 1;
}
else
{
k = 0;
}
int a;
if (row._Bwd_PSH_Flags == true)
{
a = 1;
}
else
{
a = 0;
}
int b;
if (row._PSHFlagCount == true)
{
b = 1;
}
else
{
b = 0;
}
int d;
if (row._SYNFlagCount == true)
{
d = 1;
}
else
{
d = 0;
}
int t;
if (row._ACKFlagCount == true)
{
t = 1;
}
else
{
t = 0;
}
int j;
if (row.FINFlagCount == true)
{
j = 1;
}
else
{
j = 0;
}
int o;
if (row._URGFlagCount == true)
{
o = 1;
}
else
{
o = 0;
}
tt.WriteScript("dataset=read.csv('benign and ransomeware.csv') " +
Environment.NewLine + " dataset = na.omit(dataset)" +
Environment.NewLine + "library(caTools)" +
Environment.NewLine + "set.seed(123)" +
Environment.NewLine + " split= sample.split(dataset$label,SplitRatio = 0.75)" +
Environment.NewLine + " training_set = subset(dataset, split == TRUE)" +
Environment.NewLine + " test_set = subset(dataset, split == FALSE)" +
Environment.NewLine + "dataframe=data.frame(Protocol=" + row._Protocol + ", Flow.Duration=" + row._FlowDuration + ",Total.Backward.Packets=" + row._TotalBackwardPackets + ",Fwd.Packet.Length.Max=" + row._FwdPacketLengthMax + ",Fwd.Packet.Length.Min=" + row._FwdPacketLengthMin + ",Bwd.Packet.Length.Min=" + row._BwdPacketLengthMin + ",Bwd.Packet.Length.Mean=" + row._BwdPacketLengthMean + ",Bwd.Packet.Length.Std =" + row._BwdPacketLengthStd + ", Flow.Bytes=" + row.FlowBytes + ", Flow.Packets=" + row._FlowPackets + ",Flow.IAT.Mean=" + row._FlowIATMean + ",Flow.IAT.Std =" + row._FlowIATStd + ",Flow.IAT.Min=" + row._FlowIATMin + ",Fwd.IAT.Mean=" + row._FwdIATMean + " ,Fwd.IAT.Std=" + row._FwdIATStd + ", Fwd.IAT.Max=" + row._FwdIATMax + ", Fwd.IAT.Min=" + row._FwdIATMin + ",Bwd.IAT.Total=" + row.BwdIATTotal + ",Bwd.IAT.Std=" + row.BwdIATTotal + ", Bwd.IAT.Max=" + row._BwdIATMax + ",Fwd.Packets.per.sec=" + row.FwdPacketspersec + ", Bwd.Packets.per.sec=" + row._BwdPacketspersec + ", Min.Packet.Length=" + row._MinPacketLength + ",Max.Packet.Length=" + row._MaxPacketLength + ",Packet.Length.Std=" + row._PacketLengthStd + ",Down.or.Up.Ratio=" + row._DownorUpRatio + ",Average.Packet.Size=" + row._AveragePacketSize + ",Avg.Fwd.Segment.Size=" + row._AvgFwdSegmentSize + ",Avg.Bwd.Segment.Size=" + row._AvgBwdSegmentSize + ",Init_Win_bytes_forward=" + row.Init_Win_bytes_forward + ",Init_Win_bytes_backward=" + row._Init_Win_bytes_backward + ",Active.Mean=" + row.ActiveMean + ",Active.Std=" + row._ActiveStd + ", Active.Max=" + row._Active_Max + ",Active.Min=" + row._Active_Min + ", Idle.Mean=" + row.IdleMean + ",Idle.Std=" + row._IdleStd + ",Idle.Max=" + row._IdleMax + ", Idle.Min=" + row._IdleMin + ",Fwd.PSH.Flags=" + k + ",Bwd.PSH.Flags=" + a + ", FIN.Flag.Count=" + b + ",SYN.Flag.Count=" + d + ", PSH.Flag.Count=" + t + ",ACK.Flag.Count=" + j + ",URG.Flag.Count=" + o + ",label=0 )" +
Environment.NewLine + "test_set=rbind(test_set,dataframe)" +
Environment.NewLine + "dataset$label=factor(dataset$label,levels = c(0,1))" +
Environment.NewLine + "dataset$Fwd.PSH.Flags=factor(dataset$Fwd.PSH.Flags,levels = c(0,1))" +
Environment.NewLine + "dataset$Bwd.PSH.Flags=factor(dataset$Bwd.PSH.Flags,levels = c(0,1))" +
Environment.NewLine + "dataset$FIN.Flag.Count=factor(dataset$FIN.Flag.Count,levels = c(0,1))" +
Environment.NewLine + "dataset$SYN.Flag.Count=factor(dataset$SYN.Flag.Count,levels = c(0,1))" +
Environment.NewLine + "dataset$PSH.Flag.Count=factor(dataset$PSH.Flag.Count,levels = c(0,1))" +
Environment.NewLine + "dataset$ACK.Flag.Count=factor(dataset$ACK.Flag.Count,levels = c(0,1))" +
Environment.NewLine + "dataset$URG.Flag.Count=factor(dataset$URG.Flag.Count,levels = c(0,1))" +
//Environment.NewLine + "a= levels(dataset$Source.IP)" +
//Environment.NewLine + "dataset$Source.IP=factor(dataset$Source.IP,levels = a,labels = 1:688)" +
//Environment.NewLine + "b=levels(dataset$Destination.IP)" +
//Environment.NewLine + "dataset$Destination.IP=factor(dataset$Destination.IP,levels = b,labels = 1:1251)" +
Environment.NewLine + "training_set[1:39]=scale(training_set[1:39])" +
Environment.NewLine + " test_set[1:39] = scale(test_set[1:39])" +
Environment.NewLine + "library(class)" +
Environment.NewLine + "y_pred=knn(train = training_set[-47],test = test_set[-47], cl = training_set[, 47],k = 5, prob = TRUE)" +
//Environment.NewLine + "y_pred = knn(train = training_set[,-47],test = test_set[, -47],cl = training_set[, 47], k = 5, prob = TRUE)" +
//Environment.NewLine + "cm = table(test_set[, 49], y_pred)" +
//Environment.NewLine + "print(cm)"
//Environment.NewLine+ "y_pred= predict(classifier,newdata=test_set[1:46])"+
Environment.NewLine + "y_pred=tail(y_pred,1)" +
Environment.NewLine + "print(y_pred)"
);
String x = tt.executeR();
// Response.Write(x);
if (x[1] == '1')
{
Response.Redirect("WebForm2.aspx");
}
else
{
Response.Redirect("safe.aspx");
}
Response.End();
}
