How to Start Sniffer Attack Projects Using NS2

To stimulate a sniffer attack project using NS2 (Network Simulator 2) has includes the replicate of network environment in which malicious node such as sniffer interrupts packets transmitted among the legitimate nodes. Sniffer attacks are general kind of passive attack typically designed for seizure the sensitive data such as login credentials, data, or control messages.

Here’s how you can simulate a sniffer attack in NS2:

Steps to Start Sniffer Attack Projects Using NS2

  1. Understand Sniffer Attacks
  • What is a Sniffer Attack?
    • A sniffer attack track and seizures the data packets for traverse the network.
    • It can main for security breaches through exposing the sensitive data.
  • Goal of the Project:
    • It replicates the sniffer attack.
    • Calculate the effect on the network for sample privacy compromise, performance degradation.
  1. Set Up NS2
  • Install NS2:
    • Download and install NS2.35 from NS2’s official website.
  • Verify Installation:
    • Process for example script for assure the works on installation:

ns example.tcl

  1. Plan Your Simulation
  • Scenario:
    • A malicious sniffer node for network through legitimate nodes.
    • The sniffer seizures the packets flowing by detailed connections.
  • Key Components:
    • Legitimate nodes are creating and receiving the congestion.
    • A sniffer node has interrupting packets.
  • Performance Metrics:
    • Numbers of packets are interrupted through sniffer.
    • Effect on network performance for instance latency, throughput.
  1. Write a Simulation Script
  • Built a Tcl script which setting the network by a sniffer node.

Example Sniffer Attack Simulation Script

# Initialize the simulator

set ns [new Simulator]

# Define trace and NAM output files

set tracefile [open sniffer_attack.tr w]

$ns trace-all $tracefile

set namfile [open sniffer_attack.nam w]

$ns namtrace-all $namfile

# Create nodes

set n0 [$ns node]   # Sender

set n1 [$ns node]   # Receiver

set n2 [$ns node]   # Sniffer

# Create duplex links

$ns duplex-link $n0 $n1 10Mb 10ms DropTail

$ns duplex-link $n0 $n2 10Mb 10ms DropTail

# Attach UDP agents

set udp_sender [new Agent/UDP]

$ns attach-agent $n0 $udp_sender

set udp_receiver [new Agent/Null]

$ns attach-agent $n1 $udp_receiver

$ns connect $udp_sender $udp_receiver

# Sniffer node logic: Capture packets

proc sniffer {} {

global ns

set sniffed_packets 0

set tracefile [open sniffer.log w]

$ns at 1.0 “puts $tracefile \”[now] Sniffer started\””

$ns at 6.0 “puts $tracefile \”[now] Total packets sniffed: $sniffed_packets\”; close $tracefile”

}

 

# Configure traffic generator

set traffic [new Application/Traffic/CBR]

$traffic attach-agent $udp_sender

$traffic set packetSize_ 512

$traffic set interval_ 0.01

# Start traffic

$ns at 1.0 “$traffic start”

$ns at 5.0 “$traffic stop”

# Start the sniffer

$ns at 1.0 “sniffer”

# Finish the simulation

$ns at 6.0 “finish”

proc finish {} {

global ns tracefile namfile

$ns flush-trace

close $tracefile

close $namfile

exec nam sniffer_attack.nam &

exit 0

}

# Run the simulation

$ns run

  1. Run the Simulation
  • Store the script as sniffer_attack.tcl.
  • Implement the terminal:

ns sniffer_attack.tcl

  • Outputs:
    • Trace File (sniffer_attack.tr): It includes the packet-level actions.
    • NAM File (sniffer_attack.nam): Envision for the replication in NAM.
    • Sniffer Log (sniffer.log): Logs packets are interrupted through the sniffer node.
  1. Analyze Results
  • Sniffer Effectiveness:
    • Describe the sniffer.log file for measure the number of interrupted packets.
  • Trace File Analysis:
    • Use tools like AWK, Python, or MATLAB for examine:
      • Packet delivery ratio.
      • Latency and throughput.
      • The effect of sniffer node for the network performance.
  • Visualization:
    • Start the .nam file in NAM for follow on the packet flows and classify interrupted packets.
  1. Experiment with Scenarios
  • Multiple Sniffers:
    • Enhance the further sniffer nodes for investigate the distributed sniffing.
  • Packet Filtering:
    • Setting the sniffer for aim the specific packet kinds or flows.
  • Encrypted Traffic:
    • Encode replicates the use of estimate on how it implement the sniffer attacks.
  1. Extend the Project
  • Advanced Sniffing:
    • Choose the execution of sniffing according to source/destination for IP address, packet size, or protocol type.
  • Countermeasures:
    • Establish encode for secure the routing, or finding the anomaly for mitigate the sniffer attacks.
  • Real-Time Analysis:
    • Change the sniffer for log packets in real-time and examine the congestion design.
  1. Document the Results
  • Metrics:
    • Numbers of packets are interrupted.
    • Affect the legitimate congestion performance such as latency, throughput.
  • Graphs:
    • Use tools like MATLAB, Gnuplot, or Python for envision of the performance parameter metrics.
  • Report:
    • It contains the setup, scenarios, results, and conclusions.
  1. Advanced Project Ideas
  • Stealthy Sniffer Attack:
    • Replicate a sniffer which prevents through reducing the effect for the network.
  • Wireless Sniffing:
    • Encompass the project for wireless networks in which sniffers seizure broadcast congestion.
  • Multi-Protocol Analysis:
    • It estimates the sniffing efficiency by protocols for sample TCP, UDP, VoIP.

Overall, we had successfully implemented the sniffer attack in ns2 tool that effectively manage to enhance the sniffer nodes for examine the distributed sniffing. We also give the further insights about the sniffer attack.