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< Schizo notes // FHE > This is going to be a long post, but if you fancy exploring the upcoming narrative/tech, it will be well worth it ⚠️ What if you don't need to decrypt data for computing tasks? FHE - the “Holy Grail of Cryptography”
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1/ Any computational operation on data typically requires decryption, exposing sensitive user information to service providers. To enhance privacy and security, the adoption of end-to-end encryption is essential.
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2/ Fully Homomorphic Encryption (FHE) offers a transformative approach to data security by allowing computations on encrypted data without the need for decryption.
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3/ This technology not only preserves the confidentiality of data but also broadens the scope for secure data analysis and the development of decentralized services.
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4/ By maintaining data encryption throughout processing, FHE significantly enhances privacy protections and opens new possibilities for secure and private computation in various fields.
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5/ FHE is not yet widely adopted mainly due to its significant computational costs. This form of encryption generates extremely long bit strings, often exceeding 10,000 bits, which are not efficiently processed by standard GPUs and CPUs.
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6/ As a result, operations involving FHE tend to be slow and energy-intensive. However, despite these challenges, FHE holds potential for future-proofing data security against quantum computing threats, as its complex algorithms could be resistant to quantum attacks.
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7/ Excitingly, companies such as intel, DARPA, Chain Reaction are in the final stages of developing specialized chips for FHE. These chips are tailored to address the computational challenges associated with FHE. Personally, though, I see them as chips for AI or NPU -> the song of the future.
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8/ Prime example of FHE application lies in its integration into AI systems. Consider this scenario: Before transmitting facial image data to the cloud, the client encrypts it. Then, the AI model at company X, equipped with FHE capabilities, processes these encrypted data.
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9/ As a result, it generates encrypted results that only the client can decrypt using their private key. This approach ensures that sensitive data remains undisclosed and secure during processing in the cloud.
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10/ Another prevalent application of FHE lies in the healthcare sector. Imagine securely transmitting your health data without the risk of it being compromised. This technology offers a fundamental solution to the longstanding privacy concerns surrounding sensitive medical information.
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11/ FHE isn't merely a luxury or an optional feature; it's becoming an indispensable tool for safeguarding our most intimate data. Currently, the utilization of FHE comes at a considerable cost, deterring many from its widespread adoption until optimization occurs.
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12/ However, I believe there's one particular domain where users are not only willing but eager to pay substantial fees—an ideal testing ground. Does that ring a bell? Yes, I'm talking about you degen 🫵
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13/ FHE x Web3 Blockchain tech encounters a significant hurdle in maintaining data security during transactions. Fully Homomorphic Encryption offers a direct solution to this issue by enabling the execution of computations on encrypted data, eliminating the necessity to decrypt it first.
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14/ Let's look at some of the uses of FHE in web3: Secure Transactions: FHE enables users to encrypt transactions locally, enhancing security and privacy in blockchain interactions. Encrypted Mempool: Transactions in an FHE-encrypted mempool are protected from unauthorized access, addressing issues like frontrunning.
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15/ Encrypted Blocks: With FHE, entire blockchain blocks can be encrypted, safeguarding the confidentiality of the data they contain. State Transition with FHE EVM: The FHE EVM allows for secure state transitions in blockchain systems without exposing sensitive data.
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