Calculus Features — Privacy Computing

There is a lot to consider in the current state of affairs. The upheaval caused in the post-pandemic era has changed a lot. The outbreak was sudden, leaving the world and its institutions largely unprepared to deal with the production and transmission of massive data pools. On one hand, is this neo work from home culture, a sort of digital office, leaving firms and organizations with only one way to circulate essential data — on the web, on the cloud, vulnerable and open for breaches.

While on the other hand, is the personal health data of the masses being collected and processed digitally to be employed for research, prevention, control, tracking and inquires, yet again, vulnerable, and open for breaches.

Many Questions, Is there an answer?

The large-scale exchange and transmission of data during this period have led to several questions. Despite the new culture of data storage, cloud computing — to what extent can data privacy be implemented? Can the basic rights of data owners be protected? When the risk is high, and the necessity to store and analyze large chunks of data is even higher, how can adequate protection of data privacy be attained?

Traditional and centralized methods of encryption and privacy protection, including fingerprint recognition, face recognition, etc., that collect users’ information for the cause of encryption may be efficient. But there is a contradiction. The same services are putting the user on a pedestal with the promise of encryption; they are also putting the primary personal data at risk of being abused and leaked by malicious parties.

With the subsequent proliferation of consumer data protection acts, it is necessary to reflect and focus attitudes and operations towards large-scale data transmission and robust data protection.

In this context -

We do have a solid answer — Calculus’s Privacy Computing

Privacy computing can be understood as a type of data information security that is based on the unconventional but revolutionary application of modern cryptography. The application is well represented by technologies such as Multi-Privacy Computing (MPC), Zero Knowledge Proof, Trusted Execution Environment (TEE), and Homographic Encryption.

Privacy computing can be fundamental for the cause of data computing and analysis as well as to ensure the security and privacy of data resources. For a long time, Calculus’s primary focus has been on the research of privacy computing. We have acted upon this vision, and we are proud to say that Calculus has obtained several relevant patents regarding the most robust system of privacy protection for our users. Calculus’s patented privacy computing solution ensures the security of the user’s private data and simplifies data transmission based on efficient computing.

A Deep Dive into Calculus Privacy Computing Endeavor

In the research and development of privacy computing, Calculus not only stays at the technical echelon but also fully considers the application scenarios of the actual business. We shall create an available and exportable cutting-edge technology arising from the pain points of the industry. Besides, Calculus applies the learning of privacy computing to storage, financial risk control and many other high-frequency application scenarios as well as exports existing innovations through science and technology.

Users’ private data can be selectively transmitted between encrypted channels and stored. User encrypted data in this way cannot be obtained by anyone except the user (including the storage node itself). Calculus’s storage market and retrieval market provide users with basic mechanisms for storing and retrieving order transactions.

Users can store their files in the Calculus network for a long time through the storage market, and they can also obtain public files through the retrieval market. Calculus’s privacy computing includes Secure Multi-party Computation, Homomorphic Encryption, Zero-knowledge Proof, and Trusted Execution Environment Technology.

Here are some more bonus insights on Calculus’s Privacy Computing –

What is TEE, and What is the role of TEE in Calculus?

TEE stands for Trusted Execution Environment, which is a secure area on the primary processing system. TEE is fundamental in implementing Calculus Privacy Computing, thereby essential for implementing security, confidentiality, and integrity of code and data loaded into the internal network.

The main essence of TEE technology is to provide a safe network to secure data and code execution. Even better, within TEE integration, on Calculus’s privacy computing feature, your stored data in this space is independent of any influence of the conventional operating systems.

TEE acts like the most robust overseer of the Calculus network. At the same time, TEE acts as your “safe space” for humanity’s most sensitive data; it is a key to the vault with a single owner, you, the user!

Finally,

Calculus dares to innovate, we dare to dream, and we shall make it a reality across all industries. All types of applications and needs of our users that rely on data exchange and data computing as the core requirement can enjoy the convenience and undulating security brought by the Calculus decentralized data storage consensus network.