# Secure Monitoring System for IoT Healthcare Data in the Cloud
## 5 Proposed System
### System's Algorithm Approach  
The proposed system's algorithm is presented below with a Python source code implementation paradigm (Algorithm 1):  
```
importssl importhashlib importsocket importtypographyfromcryptography.fernetimportFernet #ExampleIoTdevicedata iot_data ={ \"patient_id\": \"123456\", \"heart_rate\": 75, \"temperature\": 37.2 } #Generateencryptionkey encryption_key =Fernet.generate_key() cipher_suite =Fernet(encryption_key) #Encryp IoTdata encrypted_data =cipher_suite.encrypt(str(ot_data).encode()) #SecurecommunicationwithSSL/TLS context =ssl.create_default_context(ssl.Purpose._related-client_) context.check_hostname =False context.verify_mode =ssl.CERT_NONE #Connect tocloudserver securely cloud_server =\"cloudserver'shost\" cloud_port = 443 cloud_socket =context.wrap_socket(socket.socket(socket.AF_INET), server_hostname=cloud_server) cloud_socket.connect((cloud_server, cloud_port)) #Send encrypteddata to the cloud server cloud_socket.sendall(encrypted_data) #Receiveresponse fromcloudserver response =cloud_socket.recv(1024) #Decrypt and validate the response decrypted_response =cipher_suite.decrypt(response) ifhashlib.md5(response).hexdigest() ==hashlib.md5(decrypted_response).hexdigest(): print(\"Response integrity verified: \", decrypted_response) else: print(\"Response tampering detected!\") #Close theconnection cloud_socket.close()
```  
**Algorithm 1** Secure IoT Healthcare Data in Cloud  
This snippet of code shows how a secure monitoring system for IoT healthcare data may be implemented simply in the cloud. Therefore, the proposed code might not cover every element of a system used in production; thus, we will try to improve all the aspects of our proposed system through future work. Furthermore, we can clarify each element of it: _Import libraries_: The code begins by importing necessary libraries, including'ssl', 'hashlib', 'Fernet' from 'cryptography.fernet', and'socket'. _IoT device data_: A sample IoT device data dictionary ('iot_data') is created, simulating health-related information like patient ID, heart rate, and temperature. _Encryption key generation_: An encryption key is generated using Fernet from the 'cryptography.fernet' library. This key will be used for data encryption and decryption. _Data encryption_: The 'iot_data' dictionary is converted to a string and encrypted using the generated encryption key, resulting in 'encrypted_data'. _Secure communication setup_: An SSL/TLS secure communication context is created using the'ssl' library, ensuring secure communication with the cloud server. Connect to cloud server: A secure connection is established with the cloud server using the given 'cloud_server' address and port number. _Send encrypted data_: The encrypted IoT data is sent to the cloud server using a secure connection. _Receive and validate response_: The code receives a response from the cloud server. The response is decrypted using the same encryption key. The code then compares the MD5 hash of the original response and the decrypted response to verify data integrity. _Print result_: Based on the validation, the code prints whether the response integrity is verified or if tampering is detected. _Close connection_: The secure connection to the cloud server is closed. Moreover, a breakdown of the proposed algorithm is briefly described here: (1) Regarding the imported libraries, _ssl_: Provides support for secure sockets using the SSL/TLS protocols. _hashlib_: Offers hash functions, which are used for integrity validation. _socket_: Enables communication over sockets. _Cryptography_: A library for secure communication. _cryptography_,_fernet_._Fernet_: A part of the cryptography library used for symmetric encryption (same key for encryption and decryption). (2) Regarding the IoT device data, a sample set of IoT device data ('iot_data') is created, representing health-related information like patient ID, heart rate, and temperature.