How to Implement ANN Steganography in ns2

To implement an Artificial Neural Network (ANN)-based Steganography is a technique, which uses machine learning, specifically neural networks, to conceal the secret data in alternative file or communication channel, such as images or text, in a way that is complex to identify. Although NS2 is mainly a network simulator and it does not natively support machine learning or steganography functionalities. We  can be replicated a basic version of the ANN-based steganography within NS2 by modelling the data embedding, transmission, and extraction processes including the concept of using an ANN for more clever and safeguard steganography. Below we presented the stepwise approach to replicating the ANN Steganography in NS2:

Step-by-Step Implementation:

  1. Set Up NS2

Make sure that NS2 is installed on the computer. If it’s not installed then we can install it using:

sudo apt-get install ns2

  1. Define the Network Topology

Initially, we can describe a simple network topology with a sender and receiver to mimic the transmission of steganographically concealed information using ANN-based techniques.

set ns [new Simulator]

set tracefile [open ann_steganography.tr w]

$ns trace-all $tracefile

# Create sender and receiver nodes

set sender [$ns node]

set receiver [$ns node]

# Create a link between the sender and receiver

$ns duplex-link $sender $receiver 1Mb 10ms DropTail

  1. Simulate ANN-Based Steganography Process

The ANN-based steganography process contains using an artificial neural network to cleverly conceal the secret data in a carrier file (e.g., image, text, or any other file). In this basic simulation, we can replicate this procedure by embedding the secret message into a “carrier message” then transferring it.

(A) Simulate Data Embedding with ANN

Replicate the ANN steganography method by embedding the secure message in a carrier message. The embedding process can model as a function, which returns an “embedded” message.

# Simulate the ANN-based embedding process

proc embed_with_ann {carrier_message secret_message} {

puts “Embedding secret message: ‘$secret_message’ into carrier message using ANN”

return “embedded_$carrier_message_with_$secret_message”  ;# Simulate the embedded result

}

# Define the carrier message and secret message

set carrier_message “This is a normal message.”

set secret_message “Hidden data.”

# Use the ANN model to embed the secret message into the carrier message

$ns at 0.5 “set embedded_message [embed_with_ann $carrier_message $secret_message]”

  1. Transmit the Embedded Message

When the secret message has been embedded in the carrier using ANN-based steganography then mimic the transmission of the embedded message from the sender to the receiver using UDP and CBR (Constant Bit Rate) traffic generator.

# Set up UDP agents for sender and receiver

set udp_sender [new Agent/UDP]

set null_receiver [new Agent/Null]

$ns attach-agent $sender $udp_sender

$ns attach-agent $receiver $null_receiver

$ns connect $udp_sender $null_receiver

# Create a CBR traffic generator to simulate the transmission of the embedded message

set cbr_sender [new Application/Traffic/CBR]

$cbr_sender set packetSize_ 512

$cbr_sender set rate_ 1Mb

$cbr_sender attach-agent $udp_sender

# Send the embedded message at 2 seconds

$ns at 2.0 “$cbr_sender start”

  1. Simulate Extraction of the Secret Message

At the receiver, replicate the extraction of the concealed message using the reverse procedure of the ANN-based embedding. This step contains retrieving the secret message from the received carrier message.

(A) Extract the Secret Message Using ANN

Mimic the procedure of extracting the hidden message using ANN. This function shows the extraction process.

# Simulate the ANN-based extraction process

proc extract_with_ann {embedded_message} {

puts “Extracting hidden message from the received embedded message using ANN”

return “extracted_hidden_message”  ;# Simulate the extracted secret message

}

# Extract the hidden message at the receiver

$ns at 3.0 “set extracted_message [extract_with_ann $embedded_message]”

  1. Monitor and Log the Steganography Process

Record the embedding, transmission, and extraction processes to replicate and monitor the performance of ANN-based steganography within NS2.

# Log the embedding, transmission, and extraction process

proc log_steganography {carrier_message secret_message embedded_message extracted_message} {

puts “Original carrier message: ‘$carrier_message'”

puts “Secret message: ‘$secret_message'”

puts “Embedded message: ‘$embedded_message'”

puts “Extracted message: ‘$extracted_message'”

}

# Log the entire steganography process after extraction

$ns at 3.5 “log_steganography $carrier_message $secret_message $embedded_message $extracted_message”

  1. Run the Simulation

When the script is ready then run the simulation using NS2:

ns your_script.tcl

  1. Analyse the Results

After running the simulation, verify the trace file (ann_steganography.tr) and console results to check:

  • The secret message was embedded into the carrier message using the ANN.
  • The embedded message was effectively transferred from the sender to the receiver.
  • The secret message was extracted appropriately at the receiver using the reverse ANN-based method.

Also we can be used the NAM (Network Animator) to envision the transmission of the embedded message among the sender and receiver.

  1. Extend the Simulation

We can extend this simulation by:

  • Introducing noise or attacks: Replicate network attacks like tampering or noise to test the robustness of the ANN-based steganography.
  • Adding different carrier files: We can use various kinds of carrier files (e.g., images, audio) and mimic the embedding of secret messages into them.
  • Implementing more advanced ANN models: We can be used the machine learning tools (outside NS2) to execute an actual ANN model, which studies the embedding and extraction process, and replicate the communication process within NS2.
  • Simulating dynamic secret messages: Execute the dynamic secret messages, which alter over time, and mimic how the ANN-based steganography manages them.

Here, we had executed the sequential process with coding to replicate and implement the ANN Steganography utilizing the virtual environment NS2. Likewise, we offer further insights based on your needs drop all your details to ns2project.com we will give you best results.