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How to Simulate Network traffic analysis in OMNeT++

To implement network traffic analysis in OMNeT++ has needs to generate the emulated network scenario where we can monitor, evaluate and track the numerous contexts of the flowing via the network. This can encompass to monitor the packet types, evaluate the throughput, analysing delays, identifying the anomalies, and more. To get best research ideas and ontime delivery we will be your most trusted partner.   The given below are the detailed procedures on how to implement network traffic analysis in OMNeT++.

Step-by-Step Implementation:

  1. Set Up OMNeT++ Environment:
  • Install OMNeT++: Make sure that OMNeT++ is installed and properly configured on computer.
  • Install INET Framework: Download and set up the INET framework that delivers the necessary network models and tools for traffic analysis.
  1. Define the Network Topology:

Generate a network that consists of numerous nodes like clients, servers, routers via which network traffic will flow.

Example NED File (TrafficAnalysisNetwork.ned):

network TrafficAnalysisNetwork

{

submodules:

client: StandardHost {

@display(“p=100,200”);

}

router: Router {

@display(“p=250,200”);

}

server: StandardHost {

@display(“p=400,200”);

}

trafficAnalyzer: TrafficAnalyzer {

@display(“p=250,300”);

}

connections:

client.pppg++ –> router.pppg++;

router.pppg++ –> server.pppg++;

router.pppg++ –> trafficAnalyzer.pppg++;

}

Here, StandardHost denotes a generic client or server, Router is an intermediate device, and TrafficAnalyzer is the module that has generates to evaluate the network traffic.

  1. Create a Traffic Analyzer Module:

Execute a module that captures and evaluates the network traffic passing via the network.

Example C++ File (TrafficAnalyzer.cc):

#include <omnetpp.h>

#include “inet/common/INETDefs.h”

#include “inet/common/packet/Packet.h”

#include “inet/networklayer/common/L3AddressTag_m.h”

#include “inet/common/packet/chunk/ByteCountChunk.h”

using namespace omnetpp;

using namespace inet;

class TrafficAnalyzer : public cSimpleModule

{

private:

int packetCount;

simtime_t totalDelay;

protected:

virtual void initialize() override {

packetCount = 0;

totalDelay = 0;

}

virtual void handleMessage(cMessage *msg) override {

Packet *pkt = check_and_cast<Packet*>(msg);

// Analyze packet

EV << “Packet captured: ” << pkt->getName() << “\n”;

// Track packet count

packetCount++;

// Analyze delay (assuming packets carry timestamp)

simtime_t arrivalTime = simTime();

const auto& payload = pkt->peekAt<ByteCountChunk>(B(0));

simtime_t sentTime = payload->getCreationTime();

simtime_t delay = arrivalTime – sentTime;

totalDelay += delay;

EV << “Packet delay: ” << delay << ” seconds\n”;

// Calculate average delay

simtime_t averageDelay = totalDelay / packetCount;

EV << “Average delay: ” << averageDelay << ” seconds\n”;

// Forward packet for further processing if needed

send(pkt, “out”);

}

virtual void finish() override {

EV << “Total packets analyzed: ” << packetCount << “\n”;

EV << “Total delay: ” << totalDelay << ” seconds\n”;

EV << “Average delay: ” << (packetCount > 0 ? totalDelay / packetCount : 0) << ” seconds\n”;

}

};

Define_Module(TrafficAnalyzer);

  1. Integrate the Traffic Analyzer Module:

Adjust the NED files to make sure that the TrafficAnalyzer module is appropriately connected to track and analyse traffic passing via the router.

Example NED File (TrafficAnalyzer.ned):

simple TrafficAnalyzer

{

gates:

input in;

output out;

}

  1. Simulate Network Traffic:

To mimic numerous kinds of network traffic like normal, heavy, and malicious traffic, to monitor how the traffic analyser performs.

Example Traffic Generator (TrafficGenerator.cc):

#include <omnetpp.h>

#include “inet/common/INETDefs.h”

#include “inet/common/packet/Packet.h”

#include “inet/common/packet/chunk/ByteCountChunk.h”

using namespace omnetpp;

using namespace inet;

class TrafficGenerator : public cSimpleModule

{

protected:

virtual void initialize() override {

// Generate traffic at regular intervals

cMessage *msg = new cMessage(“generateTraffic”);

scheduleAt(simTime() + 1, msg);

}

virtual void handleMessage(cMessage *msg) override {

// Create and send a packet

Packet *packet = new Packet(“data_packet”);

packet->insertAtBack(makeShared<ByteCountChunk>(“Hello Server”));

send(packet, “out”);

// Schedule the next packet

scheduleAt(simTime() + 1, msg);

}

};

Define_Module(TrafficGenerator);

Attach this TrafficGenerator module to the client node in network.

  1. Run the Simulation:
  • Compile and run the simulation using OMNeT++.
  • Observe the logs to make by the TrafficAnalyzer module to see the captured packets, their delays, and other relevant metrics.
  1. Analyse the Results:
  • Traffic Volume: Track the total number of packets passing via the network.
  • Delay Analysis: evaluate and measure the delays experienced by packets, calculating metrics such as average delay.
  • Anomaly Detection: Expand the analysis to identify the anomalies like unusually high delays or packet loss that designate the network challenges or attacks.
  • Throughput Measurement: Compute the throughput of the network by evaluating the amount of data passing via the network over time.
  1. Extend the Simulation:
  • Advanced Metrics: To execute the additional parameters like jitter, packet loss, and bandwidth utilization.
  • Protocol-Specific Analysis: Evaluate the traffic that based on particular protocols, like TCP, UDP, or HTTP, to understand protocol-specific behaviours.
  • Visualization: Use OMNeT++’s built-in tools to visualize traffic patterns, bottlenecks, or possible points of failure.
  • Scalability Testing: To mimic a larger network with multiple traffic generators and analysers to validate how the traffic analysis scales.
  1. Implement Real-Time Analysis:
  • Real-Time Monitoring: Expand the TrafficAnalyzer module to deliver real-time traffic monitoring, where it can enthusiastically regulate thresholds and alert on abnormal traffic patterns.
  • Logging and Reporting: To execute logging mechanisms to store traffic analysis outcomes and creates the reports that can be used for post-simulation analysis.

Through this simulation, we had executed and verify the network traffic analysis using the OMNeT++ simulation. We will define how the network traffic analysis is carried out in alternative simulation settings.

Related Topics

  • Network Intrusion Detection Projects
  • Computer Science Phd Topics
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  • Cyber Security Thesis Topics
  • Network Security Research Topics

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