I am working on project of iot communication in 6g based on onion routing framework and blockchain but unable to find codes for onion routing framework in matlab? Can some one

I have my 4th year project on Blockchain and AI-based Secure Onion Routing Framework for Data Dissemination in IoT Environment Underlying 6G Networks this topic and i am not able to find solution to implement it in matlab. Also want help in coding part of onion routng framework. Also I am using standard dataset of iot. If some can help me in cleaning data and framework part it will be very helpful for me.

[idris]

Could you please update your question topic for formalty?

Answer 1

[Namnendra]

Hi Mohit,

Implementing a project on "Blockchain and AI-based Secure Onion Routing Framework for Data Dissemination in IoT Environment Underlying 6G Networks" is indeed a complex task. Below are some steps and suggestions that could guide you through the implementation in MATLAB, along with some help on coding.

1. Understanding the Components:

a. Blockchain:

- Implement a simple blockchain structure in MATLAB. You can start by creating a class or a structure to represent a block, including properties like index, timestamp, data, previous hash, and hash.

- Create a function to calculate the hash of a block and another to validate the chain.

b. AI Algorithms:

- Decide on the AI techniques you want to use, such as machine learning models for anomaly detection or data prediction.

- Use MATLAB’s Machine Learning Toolbox to implement these algorithms.

c. Onion Routing:

- Implement a basic onion routing protocol, where data is encrypted in layers using public-key cryptography.

- Simulate the routing through multiple nodes, each decrypting one layer.

d. IoT Environment:

- Use a standard IoT dataset. Clean and preprocess the data to ensure it is suitable for your models.

- You can use MATLAB for data cleaning, by handling missing values, normalizing data, etc.

2. Data Cleaning:

% Example of data cleaning in MATLAB
data = readtable('iot_dataset.csv'); % Load your dataset
data = rmmissing(data); % Remove missing values
data = normalize(data, 'range'); % Normalize data

% Additional data preprocessing steps as needed

3. Framework Implementation:

a. Blockchain:

classdef Block
    properties
        Index
        Timestamp
        Data
        PreviousHash
        Hash
    end
    methods
        function obj = Block(index, data, previousHash)
            obj.Index = index;
            obj.Timestamp = datetime('now');
            obj.Data = data;
            obj.PreviousHash = previousHash;
            obj.Hash = obj.calculateHash();
        end
        
        function hash = calculateHash(obj)
            % Simple hash calculation using MATLAB's built-in functions
            dataStr = strcat(num2str(obj.Index), datestr(obj.Timestamp), obj.Data, obj.PreviousHash);
            hash = matlab.lang.makeUniqueStrings(dataStr);
        end
    end
end

4. Simulation and Testing:

- Simulate the entire framework by routing data through the network and verifying the security and efficiency of the system.

- Use MATLAB’s plotting functions to visualize results and performance metrics.

This is a high-level guide and you'll need to delve deeper into each component, especially the cryptographic functions and the integration of AI models. Consider breaking down the project into smaller tasks and tackling them one by one.

Thank you.