Enhancing Data Security with Blockchain and Privacy Computing

In the Internet age, people seem to be accustomed to exchanging privacy for convenience.

"Welcome to download the app, do you agree to the personal privacy policy?"

"Are you allowed to use your location?"

"Allow synchronization of address book contacts?"

Faced with these options, how would you choose? The answer can be imagined. After all, "No" means that the App usage function is greatly reduced. Over time, there seems to be a consensus between the platform and users: to enjoy free services, you should provide data.

But at the same time, people also bear the risks brought about by information leakage all the time. From time to time, you may receive a call from a stranger, who not only knows your personal information, but even knows the names of your family members... It is terrifying to think about it.

In my opinion, to some extent, data is more important than oil!

Different from traditional oil resources, big data resources not only have very strong regenerative capabilities, but also have strong industry innovation capabilities based on big data.

Privacy Computing and Data Security

You may often hear words like "mining the value of data", but in fact, data itself has no value, and only by using data to solve problems can it generate value.

"The core value of data is circulation, and only in the case of circulation, the value of data will be magnified."

Currently, privacy computing is the optimal solution

Privacy computing, that is, privacy protection computing, refers to the information technology that analyzes and calculates data and can verify the calculation results under the premise of ensuring that the data provider does not disclose sensitive data. In short, it is "available and invisible" of data.

At present, the main related technologies of privacy computing technology in the market can be divided into three categories:

Protocol-based Secure Multi-Party Computation

The core idea of ​​secure multi-party computing is to design special encryption algorithms and protocols, and directly perform calculations without touching the plaintext of data to obtain results.

Federated Learning with Modern Cryptography

In essence, it is a distributed machine learning technology. The goal is to conduct data joint training and establish a shared machine learning model on the basis of ensuring data privacy, security and legal compliance.

Hardware-based Trusted Execution Environment (TEE)

The TEE is a secure area within the CPU. The CPU ensures that both the confidentiality and integrity of the code and data in the TEE are protected. More secure than an operating system by using both hardware and software to protect data and code.

According to some experts, privacy computing has been applied and experimented on a large scale in 2020, which can be described as very fast. And the different solutions of these three cores are currently in the entire market, and they have achieved commercial profits without touching personal privacy data.

Blockchain + privacy computing, a new round of data revolution?

Privacy computing does play an important role in data security, but it still faces the impossible triangle problem of security, efficiency, and performance. Privacy computing needs to be reinvigorated, and blockchain technology has attracted widespread attention due to its advantages in solving trust problems.

As we all know that in the traditional era, everyone did not trust each other due to rules and authority issues, even between public power departments. Because once data leakage, data security and other issues arise, rights and responsibilities cannot be defined. But with the blockchain, It can effectively solve the so-called "trust problem".

How the blockchain can help privacy computing

Privacy computing is essentially to desensitize the core data, touch the calculation range you want through the data fragment handshake and then output the result. A lot of data can be disassembled to a certain extent. Some data fragments in the dismantling process It will lead to purges, and the purge rules can be defined using the blockchain.

Because of its natural immutability, unforgeability, and traceability, blockchain technology can be well combined with today's privacy computing technology to provide a more comprehensive guarantee for privacy protection.

In the future, blockchain and privacy computing will complement each other and will surely bring about a new round of data revolution!