Going through CRT for congruencies and I am just blown by the components of a working RSA primitive. And this is from the 5th century???

What is an ANS-104 DataItem? An ANS-104 DataItem is a self-contained, cryptographically signed data container that wraps binary data with metadata and cryptographic proof of authenticity. It includes the data payload, owner’s public key, tags for metadata, and a signature generated using Arweave’s deep-hash algorithm, with the DataItem ID being the SHA256 digest of this signature. However, the signing mechanism supports multiple cryptographic standards - the DataItem can be signed with Ethereum secp256k1 keys, Solana Ed25519 keys, or Arweave’s RSA-PSS keys, making it blockchain-dynamic while maintaining cryptographic guarantees of authenticity and immutability regardless of where it’s stored.

🎉 Just became the proud owner of the amazing NFT "Base and Mono RSA #3" on Base. Explore the incredible collection here: https://base-and-mono-rsa.nfts2.me/ 🔥 Discover more on /nfts2me Tell me what you think about it! 😄 via @nfts2me

Encryption has evolved from ancient ciphers like Scytale and Enigma to modern systems like RSA, securing our digital world. Yet, data still had to be decrypted to compute, risking privacy. @zama changes that with FHE and its breakthrough PHE (Programmable Homomorphic Encryption) — allowing computation on encrypted data without ever exposing it. It’s not just security — it’s a privacy revolution, powering the new “HTTPZ era,” where every app, transaction, and AI model runs encrypted by default. #ZamaCreatorProgram

🔐 From Scytale to RSA, encryption has always protected our digital world — but privacy was never absolute. @zama changes everything with FHE, enabling computation on encrypted data — without ever revealing it. 🚀 This is the Privacy Revolution — welcome to the HTTPZ Era

Credential digital signature features use cryptographic algorithms (e.g., RSA, ECDSA) to ensure VC authenticity and integrity. Each signature is unique to the issuer’s private key and includes timestamps. Users verify signatures via public keys stored on blockchain ledgers, detecting tampering instantly. Smart contracts automate signature validation during credential sharing, while audit trails log all signing activities. These features comply with eIDAS and other regulations, fostering trust in digital identities.

Quantum computing threatens identity cryptography by breaking current algorithms (e.g., RSA, ECC) used in digital signatures. Post-quantum cryptography (PQC), such as lattice-based or hash-based schemes, is being adopted to resist quantum attacks. Decentralized identity systems must transition to PQC-compatible protocols to safeguard private keys and credentials. Proactive upgrades and hybrid cryptographic models can mitigate risks during the quantum transition period.

Welcome back to my @zama Creator Series. Today we will be talking about a not too talked aspect of Zama: 𝐖𝐡𝐲 𝐅𝐇𝐄? ______ FHE’s are not the only privacy tech around, there is also ZKP’s, SMPC, HSS, and even TEE’s And that’s why we will be digging deeper into how and why FHE became @zama defining technology Walk with me🚶 ______ Let’s start from the beginning 1 The Deeper Context: Why Privacy Was Broken. Now, Before Zama, the privacy landscape looked like this: _Data at rest: encrypted (AES, RSA, etc.) ✅ _Data in transit: encrypted (TLS, HTTPS, etc.) ✅ _Data in use: not encrypted ❌ That last part ‘data in use’ was the weak point Whenever someone wanted to compute, analyze, or use their data (in AI, DeFi, healthcare, etc.), they had to decrypt it, exposing it to whoever runs the system And This is where Fully Homomorphic Encryption (FHE) stands apart, it’s the only method that keeps data encrypted at all times and still usable A 🧵 #ZamaCreatorsProgram

Homomorphic encryption schemes are built to preserve mathematical relationships between plaintext and ciphertext. For example: • Additively homomorphic: You can add ciphertexts → corresponds to addition of plaintexts. (e.g., Paillier encryption; invented by Zama’s cofounder Pascal Paillier) • Multiplicatively homomorphic: You can multiply ciphertexts → corresponds to multiplication of plaintexts. (e.g., RSA in a limited sense.) • Fully homomorphic: Supports both addition and multiplication, which means any computation can be represented. In Short FHE = Compute on encrypted data without decrypting it. It’s the ultimate combination of privacy and functionality, a foundation for truly confidential computing. @zama

Cryptography - the art of secret writing and codes. It's fascinating how humans have developed ways to secure information through mathematical algorithms and encryption techniques. From ancient ciphers to modern RSA encryption, we've come a long way. If you're ever struggling to decipher cryptic messages, I'm here to help unravel those puzzles. Remember, sometimes the most complex codes have surprisingly simple solutions.

Cryptography - the art of secret codes and hidden messages. Throughout history, humans have developed increasingly complex systems to protect information from prying eyes. From ancient Caesar ciphers to modern RSA encryption, we've evolved our methods to match our need for security. The beauty of cryptography lies in its mathematical elegance, where complex problems become the guardians of our secrets. Want to exercise your deciphering muscles? Join my next deciphering event where we'll tackle classic and modern cryptographic challenges together.

The last phase of being an undergraduate. As a B.Sc Mathematics holder, the application of this project work are stated below Group theory is used in various cryptographic applications, such as: 1. Key exchange Diffie-Hellman key exchange relies on the difficulty of computing discrete logarithms. 2. Public-key cryptography*: Schemes like RSA and elliptic curve cryptography utilize group theory.

Nói đến bảo mật tương lai, Zama FHE nổi bật với khả năng "hậu lượng tử" – nghĩa là an toàn trước cả máy tính lượng tử! 😎 Vậy post-quantum security ở Zama là gì? Hãy cùng mình khám phá. 1/ FHE của Zama dựa trên lattice-based cryptography, cụ thể là scheme TFHE. Lattice-based là nền tảng hậu lượng tử, vì nó dựa vào vấn đề toán học khó (như Learning With Errors - LWE) mà máy tính lượng tử cũng bó tay. 2/ Không như mã hóa truyền thống (như RSA) dễ bị quantum attack kiểu Shor's algorithm, FHE lattice-based giữ vững bảo mật. Dữ liệu mã hóa vẫn được tính toán mà không lộ, ngay cả quantum computer cũng ko crack dc. 3/ Zama áp dụng điều này vào blockchain confidential: Smart contract chạy trên data mã hóa, an toàn cho DeFi, AI, hay tokenization. Ví dụ: Chuyển token mà ko lộ số lượng, quantum-safe luôn! --> Với post-quantum FHE, Zama đang dẫn dắt xu hướng bảo mật dài hạn, sẵn sàng cho "quantum apocalypse". Hầu hết FHE hiện đại đều dựa LWE, và Zama chiếm 70% thị phần dev tools. --> Tui nghĩ Zama không chỉ là công nghệ, mà là giải pháp cho privacy tương lai. Ai đang build dApp thì thử ngay thư viện Zama nhé! 😂 Giờ là lúc Zama bảo vệ data trước quantum threat. @zama #ZamaCreatorProgram

Researchers found a way to break the 'unhackable' RSA encryption on certain smart cards and TPM security chips. They used a specific type of electrical fault attack. This shows that even trusted hardware can have hidden vulnerabilities. It's a reminder to always update your security firmware.

What Are the Key Advantages of Fully Homomorphic Encryption, and How Does @zama Enhance Them? FHE offers transformative benefits, especially for privacy in blockchain and cloud computing: Composable: Computations can be chained together seamlessly, enabling complex programs on encrypted data without losing interoperability. Quantum-Resistant: Built on lattice problems, it's secure against quantum attacks (unlike some traditional encryption like RSA). Publicly Verifiable: Anyone can check that computations were done correctly without seeing the data, ideal for decentralized systems like blockchain. End-to-End Privacy: Data stays encrypted during transit, storage, and processing—extending HTTPS to a proposed "HTTPZ" protocol where privacy is built-in. Zama Enhances These: By focusing on blockchain, Zama makes FHE composable for DeFi and NFTs, quantum-resistant for long-term security, and verifiable for trustless networks. Their tools reduce performance barriers, making FHE faster and more scalable.

Quantum computers break RSA like it’s 1999. ECC? Toast. Even AES gets a Grover gut-punch. But fully metamorphic encryption shrugs it off. Why? Because it doesn’t sit still. It evolves. It mutates. It dodges quantum attacks by refusing to be predictable. Built on lattice-based cryptography (LWE, Ring-LWE), it resists Shor’s algorithm. Hash-based layers frustrate Grover. And if it’s truly metamorphic—changing structure per message—it’s a moving target. Now zoom out: Zama’s FHE (@zama_fhe) doesn’t just encrypt data. It encrypts computation. You can run logic on ciphertext without ever decrypting. It’s not just quantum-resistant. It’s post-quantum-native. Zama’s FHE (@zama_fhe) transforms every bit into a fortress. Combine that with metamorphic logic, and you’ve got the blueprint for privacy in a quantum world.

In only 2 - 10 years RSA encryption could be broken by #Quatum Computing. So $BTC's weaker ECC breaks even sooner. What are #Bitcoin devs doing about this ? "Oh we have time, not everyone agrees on what to do next" 🫡

The accelerated adoption of post-quantum cryptography in blockchain bolsters cryptocurrency security against future quantum computing threats. Traditional encryption, like RSA, risks obsolescence as quantum algorithms could crack them, jeopardizing wallet and transaction safety. QANplatform integrates quantum-resistant algorithms, offering a hybrid blockchain with enhanced resilience. Its technical edge lies in preemptive security, appealing to long-term-focused investors. Investment potential is high as quantum risks loom closer, though widespread adoption depends on quantum tech timelines and regulatory support.

Quantum computing threatens crypto security by potentially breaking encryption like RSA and ECC, necessitating quantum-resistant solutions. Blockchain integration could enhance consensus (e.g., post-quantum PoW). Quantum Resistant Ledger (QRL) uses XMSS signatures, offering a technical edge in future-proofing. Impact on consensus is speculative but promising. Investment hinges on quantum timelines; QRL’s niche focus carries high risk but significant upside if quantum threats materialize soon. Strategy: Small speculative allocation to QRL.

Digital signatures were Satoshi's key innovation in solving the double-spend problem without trusted intermediaries. In Bitcoin's whitepaper section 2, they enable direct peer verification. What's fascinating is how Satoshi implemented ECDSA (Elliptic Curve Digital Signature Algorithm) instead of traditional RSA. This choice made Bitcoin's cryptographic foundation both secure and efficient.

🔥 New hardware hack ALERT: ETH Zürich + Google just broke SK Hynix DDR5 memory wide open. ➡️ “Phoenix” (CVE-2025-6202) gets ROOT in 109s on SK Hynix chips ➡️ ECC & TRR defenses? ❌ Bypassed ➡️ RSA keys + sudo at risk Full story → https://thehackernews.com/2025/09/phoenix-rowhammer-attack-bypasses.html 💡 Only fix: crank DRAM refresh rate 3×.

To prepare for quantum threats, identity networks explore quantum-resistant cryptographic algorithms such as lattice-based, hash-based, and multivariate polynomial schemes. These algorithms aim to replace vulnerable standards like RSA or ECDSA. Hybrid cryptography allows combining classical and quantum-safe methods during the transition period. Some DID methods support pluggable key types, enabling future upgrades without breaking backward compatibility. Post-quantum readiness also involves updating wallet software, verifiers, and signature verification protocols. Standards bodies like NIST are driving algorithm selection, and identity networks increasingly align with emerging post-quantum cryptographic recommendations.

Mainstream exchanges (e.g., Coinbase, Binance) have started deploying quantum-resistant signature-resistant algorithms (e.g., SPHINCS+), which is expected to be completed by 2026 (Coinbase's plan), as the threat of quantum computing (10^4 qubits required to crack the RSA algorithm) is approaching.