🚨Privacy Protection Implementation
Last updated
Last updated
Device-side Privacy Processing 1) Data Collection and Local Storage
Data Collection:
The wearable devices continuously collect health data, including heart rate, blood oxygen levels, sleep, stress, and other metrics.
The data is formatted and preprocessed for subsequent analysis and transmission.
Device-Side Storage and Cloud Synchronization:
A real-time data validation mechanism is added to verify the validity of the collected physiological data (iPulse Protocol).
Reasonable threshold ranges are set for various metrics, such as a heart rate of 40–200 bpm.
Anomalous value detection algorithms identify outliers and abnormal data points.
Sensor status monitoring ensures data quality (to avoid issues like cumulative error caused by IMU sensors).
Data denoising preprocessing (vendor-side):
Kalman filtering is used to handle motion noise.
Wavelet transform removes environmental interference.
Adaptive filtering algorithms optimize signal quality.
Local Encrypted Storage:
Symmetric encryption techniques (AES) are used to encrypt the collected data.
The encryption keys are stored in the wearable device’s secure module, ensuring that even if the device is lost or stolen, the data cannot be accessed.
The encrypted data is stored in blocks locally, forming an offline secure repository of the user's personal data.
Hierarchical Encryption Storage Strategy:
class DataEncryption:
def encrypt_level1(self, data): # Regular Data
return AES_encrypt(data, key_level1)
def encrypt_level2(self, data): # Sensitive Data
return AES_encrypt(data, key_level2) + hash_sign()
Data Sharding Storage:
Sensitive data is shard-stored in different storage areas.
Each shard uses an independent encryption key.
Multiple verifications are required to reconstruct the data when accessed.
2) Data Upload and Transmission:
Upload Process:
Upon user authorization, the encrypted health data is uploaded to the distributed storage network of the iPulse Protocol from wearable devices.
Asymmetric encryption (RSA/ECDSA):
Data is encrypted with the public key of the recipient (iPulse Protocol).
The transmitted content includes encrypted data blocks, sender identity, timestamp, and other metadata.
Mutual Authentication Mechanism:
Both the device and the server authenticate each other’s identity:
The device sends an authentication request along with the device ID and timestamp.
The server responds with a random challenge code.
The device signs the challenge code with its private key.
The server verifies the signature and establishes an encrypted communication channel.
Device Uniqueness Verification Based on Hardware Fingerprint:
Dynamic token-based authentication mechanism.
Transmission Protection:
End-to-end encryption and one-time session keys (Forward Secrecy) are used to prevent man-in-the-middle attacks. Even if long-term keys are compromised, historical data cannot be decrypted.
During transmission, TLS (Transport Layer Security) protocol is applied to further enhance communication security.
3) Data Sharing
User-Authorized Anonymization:
Before uploading, sensitive information is anonymized using Zero-Knowledge Proof (ZKP) technology, ensuring that shared data cannot identify the user.
The scope and purpose of data sharing are fully controlled by the user, and unauthorized access is prohibited.
Encrypted Signature Verification:
The wearable devices use the user’s private key to digitally sign the uploaded data, and the recipient verifies the authenticity and integrity of the data through the public key.
iPulse Protocol Privacy Processing
1) Data Storage and Privacy Protection
Distributed Storage Network (DePIN):
Data is stored on distributed nodes rather than a single centralized server, eliminating the security risks associated with large-scale centralized storage.
Data remains encrypted during both transmission and storage on the network, with nodes only storing encrypted data and unable to access the content of the data.
Dynamic Key Updates (Backward Secrecy):
Old keys are periodically revoked, and new key pairs are generated to prevent future data from being compromised due to the leakage of old keys.
2) Data Sharing and Application
User Authorization Management:
Data sharing is entirely based on user authorization, with smart contracts dynamically controlling access permissions and usage of data.
For example, the user can choose to share sleep data from a specific time period for research purposes, while not sharing heart rate data.
Anonymization and Security Verification:
The iPulse Protocol strictly anonymizes all received data, ensuring that no organization or individual can associate the data with the user's identity.
Shared data is verified through the sender's signature and a traceability mechanism, ensuring the data's source is trustworthy and the content remains unaltered.
DeSci Collaboration:
After anonymization, data can be made available to research institutions and medical teams for disease prediction, public health analysis, etc. All processes are recorded on the blockchain, ensuring transparency and public access.
Emergency Mechanism
Data Destruction Mechanism Design:
Remote Erasure Function
Automatic Timeout Deletion
Ensures that data is unrecoverable through multiple rounds of erasure.
Intrusion Detection and Response:
Real-time monitoring of abnormal access behaviors.
Automatic locking of suspicious accounts.
Audit logs are retained for traceability.
Joint Privacy Protection
1) Key Technologies
Symmetric Encryption: Used for local data storage to ensure data security when the device is offline.
Asymmetric Encryption: Used for data upload and transmission processes to ensure confidentiality and security during communication.
Zero-Knowledge Proofs (ZKP): Used for anonymizing sensitive information and protecting user privacy.
End-to-End Encryption (E2EE): Ensures full-link data transmission protection.
Distributed Storage (DePIN): Eliminates the risks of centralized storage, enhancing data availability and resistance to attacks.
2) Privacy Protection Advantages of Joint Ecosystem
Full-Link Protection: From data collection to storage, transmission, and sharing, encryption and verification technologies are used throughout, ensuring the security of user data.
User-Driven Privacy: Data upload, storage, and sharing all require user authorization, ensuring privacy sovereignty.
Efficient Collaboration: By combining the technologies of iPulse Protocol and wearable devices, efficient collaboration in health management and scientific research is promoted, while privacy is guaranteed.
