CESS Key Technology (1): Multi-Type Data Rights Confirmation Mechanism (MDRC)

In today's digital age, data ownership, data privacy, and security have become primary concerns for individuals and organizations. This is due to the numerous risks associated with traditional centralized storage solutions, such as data breaches and unauthorized access, data misuse, and the control of data ownership and value by platforms. For instance, after Elon Musk took over Twitter and officially renamed it "X," new features like paid subscriptions and direct message restrictions were introduced. While users can enjoy some value from the data they generate, data ownership is still controlled by centralized platforms and companies.

Cumulus Encrypted Storage System (CESS) addresses several significant challenges in the storage industry through various innovative technologies, such as utilizing blockchain technology for distributed storage, which eliminates the drawbacks of centralized storage, protects data security and privacy, and safeguards sensitive information from unauthorized access, data breaches, and tampering. Through its pioneering Decentralized Object Storage (DeOSS), it provides a reliable and secure storage infrastructure for large-scale enterprise needs, ensuring data ownership and privacy management, as well as large-scale commercial storage, among other things.

Returning data ownership to users is one of the primary goals of achieving the Web3 era. Through the innovative Multi-type Data Rights Confirmation mechanism (MDRC), CESS addresses the issues of data rights confirmation and traceability of data ownership. This article will focus on this key technology of CESS — the Multi-type Data Rights Confirmation mechanism (MDRC).

Why do we need the Multi-type Data Rights Confirmation mechanism (MDRC)?

In any data circulation system, if valuable data does not receive adequate copyright protection measures, it will become a breeding ground for piracy and plagiarism, severely damaging the quality of market data content and harming the rights of creators/data owners. Especially in the Web3 era, the value of data is increasingly recognized, and protecting data copyrights not only involves individual rights but also concerns the healthy development of the entire digital economy ecosystem. Therefore, an effective data rights confirmation mechanism is needed to ensure the security of data copyrights and promote sustainable development in the digital age.

The Multi-type Data Rights Confirmation mechanism (MDRC) designed by CESS treats the digital fingerprint of each data item as its copyright identifier. By comparing the similarity of digital fingerprints, it determines whether there is a data lineage relationship. When necessary, this mechanism can provide evidence of the source of digital copyright protection, effectively safeguarding data copyrights. It can be said that MDRC will protect the data ownership of every user.

How MDRC Works

Digital fingerprint mechanism design architecture

CESS users first process data files through the digital fingerprint mechanism to extract their data fingerprints. Different types of data use different digital fingerprint algorithms to ensure the accuracy and effectiveness of fingerprint extraction —

For text data: The most advanced word segmentation algorithms are selected for different types of natural languages, combined with latent semantic space, to generate corresponding fingerprints based on the data;

For image data: It supports the extraction of color features, shape features, texture features, spatial relationship features, etc., while using algorithms for feature transformation to enhance the accuracy of image digital fingerprints;

For audio data: The signal is first sampled and quantized, followed by a fast Fourier transform to achieve feature extraction, supporting the extraction of energy features, time-domain features, frequency-domain features, music theory features, and perceptual features;

For video data: Feature extraction for video data is primarily done by extracting key frames, and then applying image feature extraction methods to process the key frames;

Other data types: In addition to the typical application data mentioned above, CESS also supports digital fingerprint extraction methods for other data types, which can usually serve as operational credentials for auditing. For example, system operation log data, event behavior trajectories, daily purchase receipts, etc. The specific technical implementation will use simple MD5 values or SHA values as the digital fingerprints for this type of data.

Then, the similarity hash of the data fingerprints is calculated using the Simhash algorithm, mapping high-dimensional data to a smaller, fixed number of fingerprints. This similarity hash serves as the copyright identifier for the source data and can be used to detect data lineage and similarity. (SimHash algorithm: a hash algorithm that can calculate document similarity. By mapping an article to a 64-bit representation with Simhash, and then comparing the Hamming distance of the 64 bits of two articles, one can determine the similarity of the articles.)

Finally, when uploading the source data to the CESS platform, the copyright identifier is stored on-chain through a storage service, linking the corresponding copyright identifier to the data via a smart contract, providing certain data support for subsequent data rights confirmation. CESS Multi-type Data Rights Confirmation mechanism (MDRC) process

The advanced digital fingerprint mechanism and Simhash algorithm ensure the accuracy of fingerprint extraction and the reliability of similarity hashing. The smart contract on-chain storage service of MDRC ensures that data copyrights are traceable, providing data support for subsequent data rights confirmation. Overall, MDRC ensures data ownership and traceability of ownership, thereby ensuring a transparent and fair data sharing ecosystem that protects the rights of data creators and promotes the free flow of data within the network.

Protecting Data Ownership and Realizing a New Era of Web3 Digital Economy

CESS aims to build a decentralized cloud storage data network infrastructure that meets the practical needs of commercial applications for large-scale valuable data storage, prevents data breaches and losses, ensures data security and privacy protection, and promotes widespread, bottom-up innovative business models and decentralized data markets. CESS will continue to strive to provide a secure and reliable user data environment, building a transparent, efficient, and equitable new global decentralized cloud storage online data network sharing platform.

The Multi-type Data Rights Confirmation mechanism (MDRC) is a key technology for achieving data rights confirmation and traceability of data ownership. We will introduce how CESS leverages other innovative technologies to drive the arrival of the Web3 era, becoming one of the foundational technologies for Web3, opening a new chapter for the global digital economy system. Stay tuned!