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Matlab compiler encrypts matlab code and ships the keys as part of runtime.<br />
So how do you decrypt data?<br />
How do you consume and process data now (.m file)<br />
It is up to the user to encrypt his data right outside matlab.
</div>


Matlab compiler encrypts matlab code and ships the keys as part of runtime.
So how do you decrypt data?
How do you consume and process data now (.m file)
It is up to the user to encrypt his data right outside matlab.

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As a part of my project, I want to encrypt user defined data using an unbreakable encryption algorithm. I have got one AES algorithm. But it accepts plaintext as<br />
&nbsp;plaintext_hex = {'00' '11' '22' '33' '44' '55' '66' '77' ...<br />
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;'88' '99' 'aa' 'bb' 'cc' 'dd' 'ee' 'ff'};<br />
I am doing my project in matlab.
</div>
</div>


As a part of my project, I want to encrypt user defined data using an unbreakable encryption algorithm. I have got one AES algorithm. But it accepts plaintext as
 plaintext_hex = {'00' '11' '22' '33' '44' '55' '66' '77' ...
                 '88' '99' 'aa' 'bb' 'cc' 'dd' 'ee' 'ff'};
I am doing my project in matlab.

Data Encryption

Encryption is the process of encoding messages or information in such a way that only authorized parties can read it. In an encryption scheme, the intended communication information or message, referred to as plaintext, is encrypted using an encryption algorithm, generating ciphertext that can only be read if decrypted. For technical reasons, an encryption scheme usually uses a pseudo-random encryption key generated by an algorithm. An authorized recipient can easily decrypt the message with the key provided by the originator to recipients, but not to unauthorized interceptors.

Encryption

MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.