public static NetworkResult guessHTTPService()
{
NetworkResult result = new NetworkResult("Unknown", 100.0f);
NeuralNetwork.Network net = new NeuralNetwork.Network();
net.addInput("Windows");
net.addInput("Linux");
net.addInput("FreeBSD");
net.addInput("PHP");
net.addInput("ASP.NET");
net.addInput("Static");
net.addInput("Ruby/Node.js");
return(result);
}
public static OSResult guessOS(string[] foundServices)
{
OSResult result;
// Initialize objects
NeuralNetwork.Network net = new NeuralNetwork.Network();
// Load in data to memory
if (!File.Exists(Path.Combine(Environment.ExpandEnvironmentVariables("%userprofile%"), "Documents", "Gerbil", "memstore", "OSServiceTraining.ini")))
{
return(new OSResult("ERROR", 0.0f));
}
string[] trainingData = File.ReadAllLines(Path.Combine(Environment.ExpandEnvironmentVariables("%userprofile%"), "Documents", "Gerbil", "memstore", "OSServiceTraining.ini"));
// Calculate weights
PairCounter pc = new PairCounter();
foreach (string i in trainingData)
{
string sName = i.Split('=')[0];
string fOS = i.Split('=')[1];
pc.Add(new Pair(sName, fOS));
}
Dictionary <Pair, float> connectionWeights = getPercentagesFromPair(pc.getResults());
// TODO: Train network
foreach (KeyValuePair <Pair, float> i in connectionWeights)
{
net.addInput(i.Key.item1);
net.addOutput(i.Key.item2, i.Key.item1 + "Connector", i.Value, i.Key.item1);
}
// Feed data into tranined neural network
foreach (string i in foundServices)
{
try
{
net.fireInput(i);
}
catch (NeuralNetwork.NodeNotFoundException e)
{
// Serive does not exist, since we are not in training mode, ignore.
}
catch
{
// A serious engine error occured. Throw fatal error.
throw new FatalEngineException();
}
}
// Get outputs
Dictionary <string, float> results = net.getResults();
string resultName = "Unknown";
float resultCertainty = 0.0f;
float maxCertainty = 0.0f;
// Find most likely answer
foreach (KeyValuePair <string, float> i in results)
{
if (i.Value > resultCertainty)
{
resultName = i.Key;
resultCertainty = i.Value;
maxCertainty += i.Value;
}
}
resultCertainty = resultCertainty / maxCertainty;
result = new OSResult(resultName, resultCertainty);
return(result);
}