Podívejte se na projev vedoucího výzkumu#MindNetworkna EPF d | Mind Network na Binance Square

Trendující články

Přidáno do záložek a oblíbených

Centrum pro tvůrce

Zobrazit originál

--

Podívejte se na projev vedoucího výzkumu#MindNetworkna EPF day!
Diskutovali jsme o utajené adrese založené na plně homomorfním šifrování (#FHE) (protokol chránící soukromí a odolný vůči kvantovým počítačům).

Vyloučení odpovědnosti: Obsahuje názory třetích stran. Nejedná se o finanční poradenství. Může obsahovat sponzorovaný obsah. Viz obchodní podmínky.

86

0

Odpovědi 1

Prohlédněte si nejnovější zprávy o kryptoměnách

⚡️ Zúčastněte se aktuálních diskuzí o kryptoměnách

💬 Komunikujte se svými oblíbenými tvůrci

👍 Užívejte si obsah, který vás zajímá

E-mail / telefonní číslo

Relevantní tvůrce

@Mind_Network

Prozkoumat více od tvůrce

HashKey Capital Insights shared a comprehensive article explaining both the challenges and paradigm-shifting potential of Fully Homomorphic Encryption (#FHE). We were happy to contribute to this article alongside other prominent Web3 FHE projects. We're going to break it down for you and give you the takeaways. 1⃣ The big takeaway: FHE is the Holy Grail of Cryptography for a reason. It is changing the way we secure data across platforms, painting an almost unbelievable new era for data privacy. 2⃣ The primary limitations of FHE DevEx: 1) Easy front-end language 2) A fully functional FHE compiler 3) FHE schemes are too slow 3⃣ New solutions to these limitations: 1) Web3-specific FHE compilers offer the best performance without hardware accelerators 2) New FHE libraries that leverage the popular Web3 programming languages 3) Zama's toolkit exposes homomorphic operations as precompiled contracts 4⃣ ZKPs & FHE - a match made in privacy heaven. FHE allows anyone to perform computation on encrypted data. ZKPs allow one to prove something is true without revealing the underlying information itself. This is how they work together: 1) Making sure the ciphertext meets the requirements of the encryption scheme 2) Submitting a proof that an input plaintext satisfies a given application's conditions 3) The validator node needs to prove they've correctly executed the FHE computation 5⃣ ZKPs of ciphertext. ZKPs like SNARKS and STARKS do not rely on lattice cryptography; FHE does. This means that FHE is 'post-quantum'. In other words, ZKPs alone are not resistant to quantum computing attacks, but FHE is. 6⃣ The hardware problem. FHE on existing hardware is inefficient and not scalable in a decentralized way. Verifiable FHE solves this by allowing the computing party to submit a ZKP for proof of honest execution of transactions.

--

Encryption 101: Fully Homomorphic Encryption (#FHE) Discover Fully Homomorphic Encryption (FHE) schemes and their distinct features, along with the best use cases! Dig deeper into the details in the attached pic!

--

Mind 101: Fully Homomorphic Encryption (#FHE) Fully Homomorphic Encryption (FHE) is a game-changer in data security, enabling computations on encrypted data without revealing its content. A critical tool for privacy in the digital age. At the core of #FHE is the ability to perform arithmetic operations on encrypted numbers and get an encrypted result, which, when decrypted, matches the result of operations as if they were done on plain data. The implications of #FHE are vast-secure voting systems, confidential medical records analysis, private financial transactions, and more. Anywhere data privacy is paramount, FHE can be the solution.

--

Big shoutout to our incredible 46K Minders for the support during the #ZeroTrustBridge campaign with BNB Chain! It has been a fruitful week for #MindNetwork. Check out the poster below for more details. The incentivized campaign on Galxe is still live！

--

#Mind101: How does #ZeroTrustBridge (ZTB) address the compliance issue? The enhanced security and privacy of ZTB allows entities to achieve regulatory compliance. Here are two ways in which ZTB helps TradFi: 1. ZTB is used to encrypt and process KYC/AML data, ensuring constant protection even during processing. This meets regulations requiring banks to safeguard customer data. 2. ZTB is used to protect sender/receiver information so that information regarding the trade is not easily traceable but can still be verified by regulators/authorities. #MindNetwork

--

Nejnovější zprávy

Infinitar and IGC Guild Announce Strategic Partnership

--

XRP Sees Significant Uptick Amid Positive Developments

--

ECB Official Suggests October Unlikely For Rate Cut

--

Solana Foundation Chair Lily Liu to Deliver Keynote at TOKEN2049

--

DeBox And NTU-CCTF To Host 2024 Blockchain Seminar Featuring Vitalik Buterin

--

Cookie Preferences

Pravidla a podmínky platformy

Pravidla a podmínky platformy

ba-one-trust-cookie