FHE 全同态加密的想象空间有多大？

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Press release Recently, an article on homomorphic encryption written by an independent researcher has aroused widespread concern in the industry about new encryption technology. Homomorphic encryption technology is regarded as a major breakthrough in privacy protection. Compared with zero-knowledge proof technology, it has a broader space for exploration and application, especially for its application in the field of encryption. The key concept definition of homomorphic encryption allows data to be operated in an encrypted state without decryption, thus avoiding data and In contrast, the exposure of privacy can only solve the problem of consistent transmission of data in encrypted state, and its application scope is limited. The working principle of homomorphic encryption constructs a special encryption scheme, which makes the result of the operation on ciphertext the same as that of plaintext. In short, even if the data is in encrypted state, the operation result can still maintain the consistency of plaintext through homomorphic transformation. The application scenario homomorphic encryption technology has a wide application prospect in various fields. It can be applied to cloud storage, biometrics, medical care, health finance and other fields. Taking biometrics as an example, it can verify and compare biometric data in the ciphertext state and protect personal privacy. In the medical and health field, it can break the data fragmentation and realize joint analysis and modeling, while protecting data privacy. In the encryption field, it also involves game voting, governance, privacy trading and other scenes. For example, in the game scene, it can ensure the fairness of the game without exposing the specific information in the hands of players. Anonymous voting can be achieved in voting to protect the privacy of participants. Although homomorphic encryption technology can support arbitrary computing in theory, its efficiency in complex computing is limited at present, especially in computing power demand, so its technical landing still needs to overcome the performance bottleneck and computing power cost challenge. Conclusion Generally speaking, although homomorphic encryption technology is difficult to mature and widely apply in a short period of time, as an important supplement to technology, it has great potential value in the application of privacy computing encryption scenarios and deserves long-term attention. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

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