How to Implement network Intrusion Detection in ns3

To implement the network intrusion detection in ns3, depends on the predefined rules or anomaly detection algorithm it has to monitor the network traffic by generating the mechanisms. Here’s a step-by-step details on how to implement a basic network IDS in ns3.

Step-by-Step Implementation:

Step 1: Set Up ns3 Environment

  1. Install ns3: Make certain that ns3 is installed. Follow the installation guide suitable for your operating system.
  2. Familiarize Yourself with ns3: To get to know about the ns3’s basic concepts and its simulation structure by reading the ns3 tutorial.

Step 2: Define the Network Topology

  1. Create a Simple Network: Use ns3 to define a network which includes creating nodes, setting up channels, and configuring IP addresses.

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

using namespace ns3;

int main(int argc, char *argv[]) {

NodeContainer nodes;

nodes.Create(3); // Example: 3 nodes (1 server, 1 client, 1 attacker)

PointToPointHelper pointToPoint;

pointToPoint.SetDeviceAttribute(“DataRate”, StringValue(“5Mbps”));

pointToPoint.SetChannelAttribute(“Delay”, StringValue(“2ms”));

NetDeviceContainer devices;

devices = pointToPoint.Install(nodes);

InternetStackHelper stack;

stack.Install(nodes);

Ipv4AddressHelper address;

address.SetBase(“10.1.1.0”, “255.255.255.0”);

Ipv4InterfaceContainer interfaces = address.Assign(devices);

Simulator::Run();

Simulator::Destroy();

return 0;

}

Step 3: Implement Intrusion Detection Mechanism

  1. Create Intrusion Detection Application: Depends on the predefined criteria or anomaly detection algorithms, we have to build an application or module that monitors network traffic and detects intrusions.

class IntrusionDetectionApp : public Application {

public:

IntrusionDetectionApp() {}

virtual ~IntrusionDetectionApp() {}

void SetDetectionCriteria(std::function<bool(Ptr<const Packet>, Ptr<Ipv4> ipv4)> criteria) {

m_criteria = criteria;

}

private:

virtual void StartApplication() {

// Schedule the first packet inspection

Simulator::Schedule(Seconds(1.0), &IntrusionDetectionApp::InspectTraffic, this);

}

virtual void StopApplication() {

// Teardown code

}

void InspectTraffic() {

Ptr<Ipv4> ipv4 = GetNode()->GetObject<Ipv4>();

for (uint32_t i = 0; i < ipv4->GetNInterfaces(); ++i) {

for (uint32_t j = 0; j < ipv4->GetNAddresses(i); ++j) {

Ipv4InterfaceAddress addr = ipv4->GetAddress(i, j);

Ptr<Packet> packet = Create<Packet>(1024); // Example packet inspection

if (m_criteria(packet, ipv4)) {

// Intrusion detected, take appropriate action (e.g., log, alert, block)

}

}

}

// Reschedule the next inspection

Simulator::Schedule(Seconds(1.0), &IntrusionDetectionApp::InspectTraffic, this);

}

std::function<bool(Ptr<const Packet>, Ptr<Ipv4> ipv4)> m_criteria;

};

Integrate Intrusion Detection Logic: Detect intrusions by describing logic that should be based on signature matching, anomaly detection, or other criteria.

Ptr<IntrusionDetectionApp> detectionApp = CreateObject<IntrusionDetectionApp>();

detectionApp->SetDetectionCriteria([](Ptr<const Packet> packet, Ptr<Ipv4> ipv4) {

// Define detection logic (e.g., identify suspicious patterns or signatures)

Ipv4Header ipv4Header;

packet->PeekHeader(ipv4Header);

Ipv4Address srcAddress = ipv4Header.GetSource();

Ipv4Address suspiciousAddress(“10.1.1.2”);

return srcAddress == suspiciousAddress; // Detect packets from the suspicious address

});

Ptr<Node> serverNode = nodes.Get(1); // Example: Server node

serverNode->AddApplication(detectionApp);

Step 4: Simulate Intrusive Traffic

  1. Create Intrusion Simulation Application: Simulate intrusion behavior like generating malicious traffic or performing unauthorized actions by developing an application.

class IntrusionSimulationApp : public Application {

public:

IntrusionSimulationApp() {}

virtual ~IntrusionSimulationApp() {}

private:

virtual void StartApplication() {

// Schedule the first intrusion activity

Simulator::Schedule(Seconds(1.0), &IntrusionSimulationApp::GenerateIntrusiveTraffic, this);

}

virtual void StopApplication() {

// Teardown code

}

void GenerateIntrusiveTraffic() {

Ptr<Packet> packet = Create<Packet>(1024); // Example malicious packet

// Simulate intrusion behavior (e.g., send packets with malicious patterns)

// Reschedule intrusion activity

Simulator::Schedule(Seconds(1.0), &IntrusionSimulationApp::GenerateIntrusiveTraffic, this);

}

};

Ptr<IntrusionSimulationApp> intrusionApp = CreateObject<IntrusionSimulationApp>();

Ptr<Node> attackerNode = nodes.Get(2); // Example: Attacker node

attackerNode->AddApplication(intrusionApp);

intrusionApp->SetStartTime(Seconds(2.0));

intrusionApp->SetStopTime(Seconds(10.0));

Step 5: Run the Simulation and Analyze Results

  1. Run the Simulation: Run the simulation to observe the behavior of the IDS and the impact of the intrusive traffic.

detectionApp->SetStartTime(Seconds(2.0));

detectionApp->SetStopTime(Seconds(10.0));

Simulator::Run();

Simulator::Destroy();

Collect Metrics: Examine the performance of IDS like its detection accuracy, false positives, false negatives, and network performance impact by aggregating the related metrics.

Visualize Results: To visualize and analyze the efficiency of IDS and its simulated results, we can use Gnuplot or Python’s Matplotlib.

Overall, with the help of this comprehensive script of the entire implementation of network intrusion detection and its simulation network in the ns3 tool. if needed, we will offer you the relevant information about the network intrusion.

To successfully implement network intrusion detection using the ns3 tool, connect with the team at ns3simulation.com. We provide comprehensive guidance for your research and offer top-notch project execution ideas.