Crypto Assets Market Dynamics and Homomorphic Encryption Technology Exploration

As of October 13, a data platform has conducted a statistical analysis of the discussion heat and price changes of major Crypto Assets.

The discussion frequency of Bitcoin last week was 12.52K, a slight decrease of 0.98% compared to the previous week. However, its price performance was relatively positive, closing at $63916 on Sunday, an increase of 1.62% compared to the same period last week.

On the Ethereum front, the discussion heat increased last week, reaching 3.63K, with a growth rate of 3.45%. However, its price performance was not as good as Bitcoin, with a closing price of $2530 on Sunday, a drop of 4% compared to the same period last week.

The discussion heat of TON coin clearly decreased last week, with only 782 discussions, a decrease of 12.63% compared to the previous week. Its price performance remained relatively stable, with a closing price of $5.26 on Sunday, only a slight drop of 0.25% compared to the previous week.

In the field of encryption technology, Homomorphic Encryption (FHE) is receiving widespread attention. This technology allows for computations to be performed directly on encrypted data without the need for decryption, providing strong support for privacy protection and data processing. FHE has potential application value in various fields, including finance, healthcare, cloud computing, and machine learning.

The core advantage of FHE lies in privacy protection. For example, a company can transmit encrypted data to another company for analysis without worrying about data leakage. This mechanism is particularly important in data-sensitive industries such as finance and healthcare. In the fields of cloud computing and artificial intelligence, FHE can also provide multi-party computation protection, facilitating secure collaboration.

However, the commercialization of FHE still faces challenges. The main issues include the large computational overhead, limited support for complex operations, and system complexity in multi-user scenarios. Nevertheless, many projects are actively exploring the application of FHE in the fields of blockchain and artificial intelligence.

In the blockchain field, FHE is mainly used to protect data privacy, including on-chain privacy, AI training data privacy, and on-chain voting privacy, among others. Multiple projects are leveraging FHE technology to promote the realization of privacy protection, such as technology companies that build FHE solutions and Layer 2 solutions focused on blockchain privacy.

With the continuous advancement of technology, FHE is expected to address the current challenges through hardware acceleration and algorithm optimization. In the future, FHE may become the core technology supporting privacy-preserving computation, bringing revolutionary breakthroughs in data security.