System and method for processing data and managing information

Overview of system and method:

System architecture: The system includes three entities: client device, cloud server and requester device, and realizes transparent and fair knowledge transaction through blockchain technology.

Data processing: The client device collects and encrypts the perception data and sends it to the cloud server for processing to generate useful information (i.e., results).

Blockchain application: Blockchain is used to store encrypted result shares to ensure the transparency and fairness of knowledge monetization.

Privacy-protected data processing:

Data encryption: The client device encrypts the perception data using secret sharing technology to ensure the privacy of the data during transmission and processing.

Streaming truth discovery: The cloud server executes the streaming truth discovery algorithm in the ciphertext domain, and gradually updates the truth and client weight of each perception task.

Weight update: The client weight is dynamically updated based on the quality of the perception data to ensure that high-quality data contributes more to the results.

Knowledge monetization mechanism:

Blockchain stage: It includes three stages: submission, bidding and harvesting, and the transparency and automation of the transaction process are ensured through smart contracts.

Fairness and confidentiality: Smart contracts are used to ensure that requesters obtain knowledge after payment, while cloud servers and clients receive corresponding rewards, while protecting the confidentiality of knowledge before transactions.

Automatic rewards: An automatic quality-aware reward mechanism based on client weights encourages clients to provide high-quality data.

Performance and security analysis:

Performance evaluation: Experiments are conducted to evaluate the performance of the system under different numbers of clients and perception tasks, demonstrating its feasibility in practical applications.

Security goals: Ensure that cloud servers cannot independently obtain useful information before knowledge monetization; during the monetization process, ensure the fairness of transactions and the confidentiality of knowledge.

Technical details:

Addition and multiplication operations: Implement secure addition and multiplication operations in the ciphertext domain to support the execution of streaming truth discovery algorithms.

Division and logarithm approximation: Use Gabool circuits to handle division and logarithm operations that are difficult to process directly, achieving efficient and secure computing.

Nonlinear function approximation: Approximate nonlinear logarithmic functions through piecewise linear polynomials to improve computing efficiency.

Application scenarios:

Healthcare: Applied to the analysis of encrypted medical data, ensuring patient privacy while encouraging patients to contribute data.

Transparent Knowledge Market: Establish a transparent and fair knowledge market so that truth knowledge can be discovered and traded by contributors.

Short answer questions:

What is the main content?

A system and method for processing data and managing information, especially in privacy-preserving crowdsourcing perception applications, realizes streaming truth discovery and blockchain-based knowledge monetization mechanism.

What are the main entities in the system?

The system mainly includes three entities: client devices, cloud servers, and requester devices. The client device collects and encrypts perception data, the cloud server processes the encrypted data to generate useful information, and the requester device interacts with the cloud server through blockchain to obtain the required knowledge.

How does the data remain private in the system?

The client device uses secret sharing technology to encrypt the perception data to ensure that the data remains private during transmission to the cloud server. The cloud server processes the data in the ciphertext domain and can generate useful information without decryption, thereby protecting data privacy.

What is the role of the streaming truth discovery algorithm?

The streaming truth discovery algorithm is used to gradually update the truth and client weight of each perception task in the ciphertext domain. The algorithm can efficiently process streaming data while protecting data privacy and generating truth results that reflect data quality.

How does the knowledge monetization mechanism work?

The knowledge monetization mechanism is implemented through smart contracts on the blockchain, including three stages: submission, bidding, and harvesting. The cloud server submits the encrypted knowledge share to the blockchain, and the requester bids and pays the fee. Once the transaction is completed, the requester obtains the decryption key to obtain the knowledge, and the cloud server and the client receive corresponding rewards.

What key technologies are used to ensure secure computing?

Secret sharing technology is used to encrypt data, Gabor circuits are used to handle division and logarithmic operations that are difficult to process directly, and piecewise linear polynomials are used to approximate nonlinear logarithmic functions to improve computing efficiency. These technologies together ensure the security of the system when processing data.

Please list a potential application scenario.

One potential application scenario is the medical and health field. Encrypted medical data can be collected and analyzed by medical researchers and biotechnology companies for better disease diagnosis and treatment practices. At the same time, clients who contribute data can receive corresponding rewards based on the quality of their data, encouraging more people to participate in data contribution.