π/π Ten Formerly Obscuro Comparison Of TEEs with ZK , FHE , and MPC.
( FHE )
Fully Homomorphic Encryption ; when a homomorphic encrypted operation on the cipher text ( encrypted data ) corresponds to the plain text ( initial data ) .. for example if you encrypt two numbers 5 and 8 to β¬ and Β₯ respectively and you tell the blockchain protected by FHE to add it up .. it would add β¬ and Β₯ in itβs encrypted state and give an encrypted result only you can read .. soo thereβs encryption before , during and after the transaction.. soo basically FHE computes transactions in encrypted form and still gives an encrypted result without every decrypting it .. soo we should all know what TEEs are by now .. They are the most practical privacy set up you can use because they are the fastest.. why ? Because they are ran at the CPU with almost equal speed meanwhile FHE is soo slow it takes hours to compute.. which doesnβt add up with the efficiency the future needs .. TEEs can analyze any code and not just mathematical analysis like the FHE .. that is a big flaw because not just donβt they have the speed but it is also limited to addition and multiplication mostly.. the massive energy created by FHE makes it expensive to run TEEs on the other hand is a hand is a hardware thatβs cheaper and more environmental friendly.. soo yeah this is no competition lol ..
@tenprotocol
Letβs βGive Gensler the Finger.β Start pranking now using my Secret Agent code: https://t.co/lTuuTe1r8b
@UNFKEarth#UNFK#firegensler
https://t.co/gw5Pabkqa2