How to Implement a Network Threat Detection in NS3

To execute the Network Threat Detection in ns3 has includes the replicate a network congestion by together for general and malicious activities for estimate the efficiency of detection systems such as Intrusion Detection Systems (IDS) or custom threat detection procedures.

Here’s a step-by-step guide:

Steps to Begin Implement a Network Threat Detection in NS3

  1. Understand Network Threat Detection
  • Key Concepts:
    • It finding the anomalous or malicious congestion designs.
    • Incorporate the procedures for identify the mitigate threats.
  • Common Threats:
    • Denial of Service (DoS)/Distributed DoS (DDoS).
    • Packet flooding, spoofing, and unauthorized access.
  • Simulation Goals:
    • Simulate attacks and normal traffic.
    • Apply and estimate the threat finding devices.
  1. Set up ns-3 Environment
  1. Install ns-3:

git clone https://gitlab.com/nsnam/ns-3-dev.git

cd ns-3-dev

./build.py

  1. Verify the installation:

./ns3 run hello-simulator

  1. Plan the Threat Detection Simulation
  • Components:
    • Normal nodes such as clients and server.
    • Malicious nodes are attackers.
    • Threat detection system for instance IDS or custom logic.
  • Traffic:
    • Normal traffic: The general congestion for HTTP-like requests, file transfers.
    • Malicious traffic: The malicious congestions are includes they are Flooding, spoofing, or anomalous behavior.
  1. Write the Simulation Script
  2. Include Necessary Headers

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

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

#include “ns3/applications-module.h”

  1. Define Nodes

ns3::NodeContainer normalNodes, attackerNodes, serverNode;

normalNodes.Create(5);  // 5 normal clients

attackerNodes.Create(2); // 2 attackers

serverNode.Create(1);    // 1 server

  1. Set Up Point-to-Point Links

ns3::PointToPointHelper p2p;

p2p.SetDeviceAttribute(“DataRate”, ns3::StringValue(“1Gbps”));

p2p.SetChannelAttribute(“Delay”, ns3::StringValue(“2ms”));

// Connect clients and attackers to the server

ns3::NetDeviceContainer devices;

for (uint32_t i = 0; i < normalNodes.GetN(); ++i) {

devices.Add(p2p.Install(normalNodes.Get(i), serverNode.Get(0)));

}

for (uint32_t i = 0; i < attackerNodes.GetN(); ++i) {

devices.Add(p2p.Install(attackerNodes.Get(i), serverNode.Get(0)));

}

  1. Install Internet Stack

ns3::InternetStackHelper internet;

internet.Install(normalNodes);

internet.Install(attackerNodes);

internet.Install(serverNode);

ns3::Ipv4AddressHelper address;

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

address.Assign(devices);

  1. Add Traffic Generation
  2. Normal Traffic

// UDP Echo server on the server node

ns3::UdpEchoServerHelper echoServer(9);

ns3::ApplicationContainer serverApp = echoServer.Install(serverNode.Get(0));

serverApp.Start(ns3::Seconds(1.0));

serverApp.Stop(ns3::Seconds(20.0));

// UDP Echo clients on normal nodes

for (uint32_t i = 0; i < normalNodes.GetN(); ++i) {

ns3::UdpEchoClientHelper echoClient(serverNode.Get(0)->GetObject<ns3::Ipv4>()->GetAddress(1, 0), 9);

echoClient.SetAttribute(“MaxPackets”, ns3::UintegerValue(10));

echoClient.SetAttribute(“Interval”, ns3::TimeValue(ns3::Seconds(1.0)));

echoClient.SetAttribute(“PacketSize”, ns3::UintegerValue(512));

ns3::ApplicationContainer clientApp = echoClient.Install(normalNodes.Get(i));

clientApp.Start(ns3::Seconds(2.0));

clientApp.Stop(ns3::Seconds(20.0));

}

  1. Malicious Traffic

// Malicious node sends continuous traffic to server

ns3::OnOffHelper onOffHelper(“ns3::UdpSocketFactory”,

ns3::InetSocketAddress(serverNode.Get(0)->GetObject<ns3::Ipv4>()->GetAddress(1, 0), 9));

onOffHelper.SetAttribute(“DataRate”, ns3::StringValue(“100Mbps”));

onOffHelper.SetAttribute(“PacketSize”, ns3::UintegerValue(1024));

onOffHelper.SetAttribute(“OnTime”, ns3::StringValue(“ns3::ConstantRandomVariable[Constant=1]”));

onOffHelper.SetAttribute(“OffTime”, ns3::StringValue(“ns3::ConstantRandomVariable[Constant=0]”));

for (uint32_t i = 0; i < attackerNodes.GetN(); ++i) {

ns3::ApplicationContainer attackApp = onOffHelper.Install(attackerNodes.Get(i));

attackApp.Start(ns3::Seconds(3.0));

attackApp.Stop(ns3::Seconds(20.0));

}

  1. Implement Threat Detection System
  2. Custom IDS
  1. Define an IDS Class:

class IDS {

public:

void MonitorTraffic(Ptr<const ns3::Packet> packet, Ptr<Ipv4> ipv4, uint32_t interface) {

// Analyze packet headers or payload

std::cout << “Packet received of size: ” << packet->GetSize() << ” bytes\n”;

 

// Example: Flag excessive packet rates

if (packet->GetSize() > 1000) {

std::cout << “Potential attack detected: Large packet size\n”;

}

}

};

  1. Attach IDS to Server Node:

Ptr<IDS> ids = CreateObject<IDS>();

serverNode.Get(0)->GetObject<ns3::Ipv4>()->TraceConnectWithoutContext(“Rx”, MakeCallback(&IDS::MonitorTraffic, ids));

  1. Run the Simulation

ns3::Simulator::Run();

ns3::Simulator::Destroy();

  1. Analyze Results

Metrics:

  • Detection Accuracy:
    • Calculate the finding the accuracy for ability the IDS in classify the malicious traffic.
  • Performance Impact:
    • Examine the throughput, latency, and packet delivery ratio.

Tracing and Visualization:

  • Ensure the .pcap tracing for specific the packet analysis:

ns3::AsciiTraceHelper ascii;

p2p.EnableAsciiAll(ascii.CreateFileStream(“threat-detection.tr”));

p2p.EnablePcapAll(“threat-detection”);

  • For examine the seizure the congestion to use Wireshark.
  1. Iterate and Enhance
  • Advanced Detection:
    • Incorporate the machine learning models for finding the anomaly for sample using Python or TensorFlow.
    • It replicates the dynamic threats such as botnets or spoofing.
  • Defensive Mechanisms:
    • Execute the rate limiting or blacklisting for flagged nodes.
  • Scalability:
    • Validate by larger networks for diverse congestion designs.

Overall, we had successfully implemented the basic network with threat detection in ns-3 by creating applications that monitor network traffic for suspicious activities and flag potential threats. Also, we provide more relates information on network threat detection.