In the era of big data, problems such as data islands and data leakage still exist; at present, data volume, processing efficiency and data security form a "data collaboration impossible triangle".
For enterprises, the data collaboration system based on the exchange of original data leads to data isolation, which prevents the enterprise's data from exerting greater value. For example, Alibaba and Tencent have each formed internal data. Due to trust issues caused by business competition, collaboration cannot be achieved under the traditional technical framework that needs to expose original data, benefiting multiple parties.
As far as individuals are concerned, on the one hand, uploading data to the Internet enables us to obtain convenient services, and at the same time, there are also issues such as information fraud and privacy violations caused by data leakage.
In response to these problems, existing intermediary agencies have tried to break through data silos and achieve data collaboration, but often they can only integrate the data of various companies and individuals in the form of "unauthorized" and other forms, resulting in violations of privacy and even legal disputes.
Contacted by Odaily a few days agoPoints(PTS)The project is based on blockchain technology and develops a new type of data collaboration protocol system, hoping to maximize the value of data through the collaboration of data owners, improve the security and efficiency of the identity verification process, and solve data islands and privacy security issues.
The Points project is characterized by the establishment of a large-scale applicationSecure Multi-Party Computing System; Secure Multi-Party Computation (Secure Multi-Party Computation, referred to as SMPC) is to solve the collaborative computing problem of privacy protection among a group of participants who do not trust each other. Enter values for other members involved in the calculation.
The techniques used in the specific operation process include:
Zero-knowledge proof, when user data is connected to PTS, only the party who owns the data can see the relevant data;
For the data that has been accessed, through differential privacy, the data cannot be associated with any individual in the database;
Asymmetric encryption is performed on the entire data transmission channel to prevent interception during transmission;
Data obfuscation and anonymization are performed before calculation to ensure that sensitive data will not be completely exposed to any party during the process.
In this way, a set of rigorous security computing framework is constructed from transmission to processing.
Points also uses GDPR Compatible blockchain data collaboration protocol systembut,
but,How to ensure the privacy of users after accessing the Points network?? Founder Zhang Jiachen said that the PTS network itself does not store any data, the data is stored in a distributed manner, and each data party stores and maintains the database independently. For users, all data processing and call history are fully recorded on the chain, and PTS can provide an API interface for individual users to view data usage information, change usage preferences and permissions, or remove themselves from the data network. User options automatically take effect and execute on the network.
Realize data exchange and sharing at the data protocol layer, andOcean Protocol(ocean agreement),APEX、Datawalletwait. Zhang Jiachen said that compared with APEX and Data Wallet, which focus on low-frequency individual data uploads and relatively remote general scenarios, Points takes into account the simultaneous participation of enterprises and individuals in data collaboration, and at the same time cuts into specific scenarios such as financial credit investigation. In addition, Points supports compatibility with GDPR.
Regarding the barriers to entrepreneurship at the data protocol layer, Zhang Jiachen said that there are problems that industry entrants need to solve in terms of data volume itself, project quality and stability, architectural capabilities, and ecological construction capabilities.
According to the current development progress, PTS's minimum viable product (MVP, most viable product) and the first batch of user identity authentication services (KYC, know your customer) have been launched. The project will launch the PTS Credit Network for credit scoring services in September. In the fourth quarter of this year, the PTS network (main network), control interface and App will also be launched. In terms of future industry applications, in addition to the financial field, it is also considered to expand to medical research, advertising and other fields.
In early 2018, PTS completed a $8 million seed round of financing. Investors include venture capital funds Danhua Capital, Xinyuan Capital, Ceyuan Venture Capital, Chaosheng Capital, and strategic investors China Chengxin Credit Information and Ontology Network. The project is currently undergoing a cornerstone round of financing.
Co-Founder Founder Zhang Jiachen is an MBA from Harvard Business School and a master of public policy from Harvard Kennedy School of Government. He learned about the blockchain industry while working with Tim Draper in 2014. He used to be the COO of Xiaomi's ecological chain enterprise Ninebot robot business and Amazon's advanced products Manager, also the initiator of Beijing blockchain community dCamp and the tutor of Tsinghua University blockchain open class. Shen Jiaqing, the co-founder of technology and products, graduated from the computer department of Carnegie Mellon University (CMU). He has many years of technical project management experience in Microsoft and Hulu, and has been responsible for the development of many large-scale software including search engines. The core technical team has large-scale architecture, encryption business experience and community operation experience. In terms of consultants, PTS's consultants include Chief Scientific Advisor Professor Zhang Shoucheng of Stanford University, former Ant Financial Vice President and Chief Risk Control Officer Mr. Jason LU, and China Chengxin Credit Information CEO Mr. Zhang Bin.
