To implement network incident response in ns3, we need to set-up a network simulation that can detect, respond to, and mitigate network incidents such as attacks or failures. This process can be done by involving setting up monitoring tools, detecting incidents, and implementing response mechanisms. Below given steps will guide on how to implement network incident response in ns3.
Step-by-step guide to implement network incident response in ns3:
Step 1: Setup ns3 Environment
Ensure ns3 is installed on the system.
Step 2: Include Necessary Modules
Include the necessary ns3 modules in the script:
#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”
#include “ns3/flow-monitor-module.h”
#include “ns3/ipv4-global-routing-helper.h”
Step 3: Create the Simulation Script
- Setup Nodes and Network:
using namespace ns3;
NS_LOG_COMPONENT_DEFINE (“IncidentResponseExample”);
void MonitorTraffic (Ptr<Ipv4FlowClassifier> classifier, Ptr<FlowMonitor> monitor)
{
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);
NS_LOG_UNCOND (“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)\n”
<< ” Tx Bytes: ” << i->second.txBytes << “\n”
<< ” Rx Bytes: ” << i->second.rxBytes << “\n”
<< ” Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 << ” Mbps”);
// Example: Detect high throughput indicating a potential DDoS attack
if (i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 > 1.0)
{
NS_LOG_UNCOND (“Potential DDoS attack detected on flow ” << i->first);
// Implement response logic here, e.g., blocking the IP or rerouting traffic
}
}
Simulator::Schedule (Seconds (1.0), &MonitorTraffic, classifier, monitor);
}
int main (int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse (argc, argv);
// Create nodes
NodeContainer nodes;
nodes.Create (4);
// Create point-to-point links
PointToPointHelper pointToPoint;
pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“10Mbps”));
pointToPoint.SetChannelAttribute (“Delay”, StringValue (“2ms”));
NetDeviceContainer devices;
devices = pointToPoint.Install (nodes.Get (0), nodes.Get (1));
devices = pointToPoint.Install (nodes.Get (1), nodes.Get (2));
devices = pointToPoint.Install (nodes.Get (2), nodes.Get (3));
// Install Internet stack
InternetStackHelper stack;
stack.Install (nodes);
// Assign IP addresses
Ipv4AddressHelper address;
address.SetBase (“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces = address.Assign (devices);
// Set up applications
uint16_t port = 9; // Discard port (RFC 863)
// Server application on node 3
Address serverAddress (InetSocketAddress (Ipv4Address::GetAny (), port));
PacketSinkHelper packetSinkHelper (“ns3::UdpSocketFactory”, serverAddress);
ApplicationContainer sinkApps = packetSinkHelper.Install (nodes.Get (3));
sinkApps.Start (Seconds (1.0));
sinkApps.Stop (Seconds (20.0));
// Client application on node 0
OnOffHelper onoff (“ns3::UdpSocketFactory”, Address (InetSocketAddress (interfaces.GetAddress (3), port)));
onoff.SetConstantRate (DataRate (“1Mbps”));
ApplicationContainer apps = onoff.Install (nodes.Get (0));
apps.Start (Seconds (2.0));
apps.Stop (Seconds (20.0));
// Flow monitor
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll ();
// Schedule traffic monitoring
Ptr<Ipv4FlowClassifier> classifier = DynamicCast<Ipv4FlowClassifier> (flowmon.GetClassifier ());
Simulator::Schedule (Seconds (1.0), &MonitorTraffic, classifier, monitor);
Simulator::Stop (Seconds (20.0));
Simulator::Run ();
Simulator::Destroy ();
return 0;
}
Step 4: Run the Simulation
Compile and run the simulation script:
sh
./waf configure
./waf build
./waf –run IncidentResponseExample
Explanation
- Node Creation: Create nodes representing different devices in the network.
- Point-to-Point Links: Configure point-to-point links between nodes.
- Internet Stack: Install the Internet stack on all nodes.
- IP Configuration: Assign IP addresses to the nodes.
- Applications: Use OnOffApplication and PacketSink to simulate traffic between nodes.
- Flow Monitor: Use the flow monitor to collect traffic data and schedule the MonitorTraffic function to log traffic statistics periodically and detect incidents.
- Incident Detection: In the MonitorTraffic function, detect incidents based on traffic patterns (e.g., high throughput indicating a potential DDoS attack) and implement response logic (e.g., blocking IPs or rerouting traffic).
Advanced Incident Response Techniques
- Automated Response:
Implement automated responses to detected incidents, such as blocking IP addresses or changing routes dynamically.
void BlockIpAddress (Ptr<Node> node, Ipv4Address address)
{
Ptr<Ipv4> ipv4 = node->GetObject<Ipv4> ();
Ipv4StaticRoutingHelper staticRoutingHelper;
Ptr<Ipv4StaticRouting> staticRouting = staticRoutingHelper.GetStaticRouting (ipv4);
staticRouting->AddNetworkRouteTo (address, Ipv4Mask (“255.255.255.255”), Ipv4Address (“0.0.0.0”), 1);
}
void MonitorTrafficAndBlock (Ptr<Ipv4FlowClassifier> classifier, Ptr<FlowMonitor> monitor, Ptr<Node> node)
{
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);
NS_LOG_UNCOND (“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)\n”
<< ” Tx Bytes: ” << i->second.txBytes << “\n”
<< ” Rx Bytes: ” << i->second.rxBytes << “\n”
<< ” Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 << ” Mbps”);
// Example: Detect high throughput indicating a potential DDoS attack
if (i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 > 1.0)
{
NS_LOG_UNCOND (“Potential DDoS attack detected on flow ” << i->first);
BlockIpAddress (node, t.sourceAddress);
}
}
Simulator::Schedule (Seconds (1.0), &MonitorTrafficAndBlock, classifier, monitor, node);
}
// In main function, replace MonitorTraffic with MonitorTrafficAndBlock
Simulator::Schedule (Seconds (1.0), &MonitorTrafficAndBlock, classifier, monitor, nodes.Get (1));
- Anomaly Detection:
Implement anomaly detection to identify unusual patterns in network traffic that may indicate an incident.
void DetectAnomalies (Ptr<Ipv4FlowClassifier> classifier, Ptr<FlowMonitor> monitor)
{
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);
// Implement anomaly detection logic here
if (/* some anomaly detection condition */)
{
NS_LOG_UNCOND (“Anomaly detected on flow ” << i->first);
// Implement response logic here
}
}
Simulator::Schedule (Seconds (1.0), &DetectAnomalies, classifier, monitor);
}
// In main function, schedule anomaly detection
Simulator::Schedule (Seconds (1.0), &DetectAnomalies, classifier, monitor);
- Logging and Alerts:
Implement logging and alerting mechanisms to notify administrators of detected incidents.
void LogIncident (std::string message)
{
std::ofstream logFile;
logFile.open (“incident_log.txt”, std::ios_base::app);
logFile << Simulator::Now ().GetSeconds () << “: ” << message << std::endl;
logFile.close ();
}
void AlertAdmin (std::string message)
{
NS_LOG_UNCOND (“ALERT: ” << message);
// Additional alert mechanisms can be added here
}
void MonitorTrafficAndAlert (Ptr<Ipv4FlowClassifier> classifier, Ptr<FlowMonitor> monitor)
{
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);
// Example: Detect high throughput indicating a potential DDoS attack
if (i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds() – i->second.timeFirstTxPacket.GetSeconds()) / 1024 / 1024 > 1.0)
{
std::string message = “Potential DDoS attack detected on flow ” + std::to_string (i->first);
LogIncident (message);
AlertAdmin (message);
}
}
Simulator::Schedule (Seconds (1.0), &MonitorTrafficAndAlert, classifier, monitor);
}
// In main function, replace MonitorTraffic with MonitorTrafficAndAlert
Simulator::Schedule (Seconds (1.0), &MonitorTrafficAndAlert, classifier, monitor);
Finally, we had learnt to implement network incident response in ns3, by including the necessary modules, creating simulation script, running the simulation to analyse the results. Also, we had briefly explained about advanced incident response techniques.
Get optimal results on performance analysis and implementation of Network Incident Response using ns3simulation, you can seek assistance from our experts. The developers at ns3simulation.com will provide you with detailed project execution steps tailored to your specific area, ensuring the best possible outcomes.