when user send a message through rasa open source chatbot that plain text, i have to encrypt and send to server and in server end i have to decrypt. and other than that the response message i have to encrypt and send to chatbot in user side i have to decrypt and i deploy my project in server and i am using IIS( Internet Information Services). so give me method how can i implement this and get a end to end data encryption security. and also tell me the point where it hit when user type some message , so that i could encrypt that hit point and provide some decryption code while hitting output side
please give response immediately
Sure, here’s the answer rewritten in separate paragraphs for better clarity:
To implement end-to-end encryption in your Rasa Open Source chatbot, you need to ensure that the user’s message is encrypted before it is sent to the server and decrypted on the server side. Similarly, the server’s response should be encrypted before it is sent back to the user and decrypted on the frontend.
On the user side (frontend), modify your chatbot interface, whether it’s a custom UI or something like Rasa Webchat. Before sending the user’s input to Rasa’s REST webhook (/webhooks/rest/webhook), encrypt the message using an encryption method like AES (symmetric) or RSA (asymmetric). When you receive the response from the server, decrypt it on the frontend before displaying it to the user.
On the server side, you need to hook into the incoming message flow. This can be done by customizing the Rasa input channel. You can extend the RestInput channel (found in rasa/core/channels/rest.py) and override the part where the message is received. Decrypt the incoming user message here before passing it to Rasa for processing.
For outgoing messages, you should create a custom output channel. Override the send_text_message method and encrypt the response message before it is sent back to the frontend. This way, the encrypted message travels back to the user, where it can be decrypted and shown.
If you’re using AES, you’ll need a shared secret key both on the frontend and backend. Libraries like cryptography in Python and CryptoJS in JavaScript can be used for encryption and decryption. Make sure to keep the key secure and avoid exposing it on the frontend in production.
Since your project is hosted using IIS (Internet Information Services), configure it to support HTTPS and act as a reverse proxy to your Rasa server. This will add another layer of transport security on top of your message encryption.
To summarize: encrypt the user message on the frontend, decrypt it in the server’s input channel, encrypt the bot’s response in the output channel, and decrypt it again on the frontend. This method helps you achieve end-to-end encryption between user and server.
Let me know if you want a working code snippet for both the frontend and backend with either AES or RSA encryption.