Cryptocurrency Security Protocols

The Bybit incident highlights how even well-established platforms can face security challenges. As an industry, we must continue raising the bar to protect users and institutions alike. At Anchorage Digital, we take these five essential steps to ensure transaction integrity: Multi-person approval – Prevents single points of failure Biometric & behavioral verification – Confirms every approver’s identity  Cryptographic signature – Locks in source, destination, and transaction details Risk review – Augments human oversight with anomaly detection Hardware-enforced execution – Guarantees integrity at the final step Beyond this, programmatic, simultaneous settlement should be the standard for large transactions—spot, derivative, or lending—to reduce counterparty risk. Our Atlas settlement network enables institutions to settle directly, eliminating the need to leave assets on exchanges and reducing exposure to third-party risks. Custody matters. At Anchorage Digital Bank, our federally regulated status ensures that client assets remain bankruptcy remote—fully protected and segregated, no matter the market conditions. And industry-wide, we must empower every user with transaction simulation capabilities to assess risks ahead of smart contract interactions, swaps, approvals, or transfers. Security isn’t just about protection—it’s the foundation for crypto’s next phase of growth. We stand ready to support and wish Bybit and its customers a swift resolution.

💭 Why did Satoshi pick the secp256k1 (K1) curve instead of secp256r1 (R1) when designing Bitcoin’s cryptography — the foundation of Bitcoin’s (and also Ethereum’s) wallet addresses, digital signatures, and transaction verification? Most traditional security systems — like SSH, TLS (HTTPS), TPMs, or WebAuthn — rely on secp256r1, a curve standardized by NIST (P-256) and battle-tested for 25 years. So why did Satoshi choose a less common curve for Bitcoin? Let’s look at their properties 👇 secp256r1 (R1 curve): 🔹The NIST-standard curve used in most web and hardware security. 🔹Parameters were generated from unknown seeds — never publicly explained. 🔹While still considered secure, some worry this leaves room for potential backdoors. secp256k1 (K1 curve): 🔹Has a simpler mathematical structure, enabling faster verification and smaller signatures. 🔹Parameters are fully transparent and deterministic, not derived from hidden “random seeds.” 🔹Easier to audit — ideal for open, decentralized systems. In summary: K1 → built for transparent, math-first environments. R1 → built for institutional, compliance-driven systems. So it’s not far-fetched to think Satoshi chose K1 for trust and transparency — avoiding reliance on government-curated cryptography and ensuring Bitcoin’s security could rely on math, not standards.

Last week saw very interesting developments in Secure Multiparty Computation (MPC). I quickly want to share those with you. First, Coinbase open-sourced its own cryptography library, which you can find here: https://lnkd.in/dCnN9-rP. Coinbase, as one of the biggest players in the cryptocurrency space, excells when it comes to protecting assets. The published codebase is the foundation of their threshold signing protocol. It protects cryptographic key material by distributing trust among multiple servers, while still enabling cryptographic operations. But Coinbase did not just share their implementation, it comes with a documentation of everything - down to the smallest cryptographic detail. And even more, all used building blocks are secure to the highest standards in cryptography and their analysis is documented. I can only congratulate Yehuda Lindell and his team for this achievement in rigor! Second, Dragos Rotaru and a team from Graz University of Technology ported the MP-SPDZ library to web browsers https://lnkd.in/dc9gUc5p. Anyone who has ever worked with implementing distributed cryptography has come into contact with MP-SPDZ. It is a software library that allows to rapidly develop, test and benchmark MPC applications. What is remarkable about MP-SPDZ is not just the existing codebase and toolchain, but its support for a massive number of different MPC protocols. Basically, you can choose the most performant MPC protocol for your setting and test out how it behaves without having to implement cryptography yourself (and read those typo-ridden original papers!). Due to the complexity, it can be tedious to set up MP-SPDZ and it's particularly not suitable for web applications, e.g. running secure computation between phones. Amazingly, this work makes it possible to run MP-SPDZ in this setting as well. So if you have a great idea for using secure computation between end users on their devices, you should have a look!

Bitcoin’s Endgame: Assessing the Quantum Computing Threat Overview: Google’s recent unveiling of its Willow quantum computer has reignited concerns about the threat quantum computing poses to Bitcoin. While many headlines paint an apocalyptic picture, experts suggest the reality is more nuanced. Quantum advancements will require upgrades to Bitcoin’s cryptographic protocols within the next few years, but they do not pose an existential threat to Bitcoin itself. The risk extends far beyond Bitcoin, affecting financial systems, banking, and broader cryptographic infrastructure worldwide. How Quantum Computing Threatens Cryptography: 1. Traditional Encryption Vulnerabilities: • Bitcoin’s security relies on SHA-256 (hashing algorithm) and ECDSA (Elliptic Curve Digital Signature Algorithm). • Quantum computers, leveraging Shor’s Algorithm, can theoretically reverse-engineer private keys from public keys—undermining Bitcoin’s foundational security model. 2. The Broader Impact: • Quantum breakthroughs threaten not just Bitcoin but also online banking systems, secure messaging apps, and global e-commerce platforms. • Governments and corporations worldwide are now racing to develop quantum-resistant encryption algorithms. Bitcoin’s Resilience and Adaptability: 1. Protocol Upgrade Path: • Bitcoin can be upgraded to adopt post-quantum cryptography (PQC) algorithms, which are resistant to quantum attacks. • While such upgrades will be technically challenging and time-consuming, they are achievable within Bitcoin’s decentralized framework. 2. Limited Immediate Risk: • Current quantum computers lack the scale and stability required to crack Bitcoin’s encryption in real-time. • Estimates suggest that practical quantum attacks remain years, if not decades, away. 3. Network Consensus: • Any major upgrade to Bitcoin’s encryption will require community consensus across miners, developers, and node operators. • Historically, Bitcoin has shown the ability to undergo protocol upgrades without fracturing the network irreparably. A Global Challenge Beyond Bitcoin: 1. Financial Systems at Risk: • Global financial and communication systems rely heavily on current encryption protocols vulnerable to quantum attacks. 2. Store-Now, Decrypt-Later Threat: • Malicious actors are already collecting encrypted data with the intent of decrypting it once quantum capabilities mature. 3. Rising Global Investments: The Takeaway: While quantum computing poses a real threat to Bitcoin’s encryption, it is not an imminent existential risk. The same threat applies to all current cryptographic systems across finance, communications, and cybersecurity. Bitcoin has the technical and community-driven resilience to adapt—provided preparations begin now. As with Y2K, proactive efforts and collaborative global strategies can ensure a quantum-secure future for Bitcoin and the broader digital ecosystem.

📈 Ethereum Security: Exploring the Next Frontier of Blockchain Resilience As the founder of a leading Web3 security startup, I've had the privilege of analyzing some of the most complex Ethereum smart contract exploits firsthand. Looking beyond the headlines, I believe it's crucial that we take a deeper, more academic dive into the technical intricacies underlying the security challenges facing the Ethereum ecosystem. 1️⃣ Rethinking Composability: The Double-Edged Sword Ethereum's ethos of permissionless innovation and composable building blocks has undoubtedly fueled its meteoric rise. However, this very attribute also presents unique security risks. The ability for smart contracts to freely interact introduces a web of interdependencies that amplifies the potential attack surface. A vulnerability in one protocol can cascade through the entire DeFi ecosystem, as we've seen time and again with cross-contract exploits. The lack of strong encapsulation in Solidity further exacerbates this challenge, making it difficult for developers to reason about the security implications of integrating third-party components. 2️⃣ The Liquidity Conundrum: Tradeoffs and Vulnerabilities Liquidity is the lifeblood of decentralized finance, yet it remains a double-edged sword from a security standpoint. While deep liquidity pools provide stability and resilience, low-liquidity markets present ripe opportunities for price manipulation attacks. The OnyxDAO incident is a prime example, where an attacker was able to leverage a Compound V2 vulnerability to artificially inflate the exchange rate by making large deposits into a low-liquidity contract. This dynamic underscores the need for a more nuanced understanding of liquidity dynamics and their implications for protocol design. 3️⃣ Beyond the Code: Human Factors in Ethereum Security It's easy to fall into the trap of viewing Ethereum security through the lens of perfect code. However, the reality is that the human element remains a critical vulnerability. From private key management to insider threats, the security of Web3 applications cannot be divorced from the people and processes involved in their development and operation. 🔍 The Sunray Finance exploit, where a private key compromise led to a massive token mint, serves as a sobering reminder that technological solutions alone are insufficient. As an industry, we must elevate our focus on security-aware programming practices, robust key management frameworks, and comprehensive organizational security measures.

99% of crypto users risk their crypto to hacks due to poor wallet hygiene. Here are 7 essential tools everyone needs to secure their wallets: 1/ Create a secure multi-sig wallet with Safe Use it for the crypto that you are holding in the long term. It acts as a secure banking vault requiring several wallets (private keys) to authorize any transaction. So even if one of the wallets gets compromised, your funds are still safe. 2/ Get a cold wallet like Ledger or Trezor Hot wallets like Metamask that are always connected to the internet are much riskier. Get a cold wallet that's not connected to the Internet and use it as a secure storage for your assets. It can also act as one of the wallets for your multi-sig. 3/ Delegate authority of your multi-sig or cold wallet with Delegate (.xyz) NEVER use your secure multi-sig or cold wallet to interact with suspicious protocols. Always use a new risky wallet for that. And delegate the authority of your safe multi-sig/cold wallet to this risky wallet in case you need to claim an airdrop or mint an NFT. 4/ Remove unlimited token spend approvals with Revoke (.cash) Many DeFi protocols ask for unlimited token spend approvals. So if the protocol gets compromised, your wallet can be drained. Review and remove any unnecessary approvals granted in the past. 5/ Use a portfolio tracker like CoinStats to monitor your DeFi positions Track all your on chain activity in DeFi in one place. Spot any suspicious or unusual on-chain activity early on and take action. 6/ Use Wallet Guard to preview your transactions Preview all transactions and understand what exactly you are approving. 7/ Exercise caution and NEVER do any of the following: - Download any suspicious files sent on Telegram/social media DMs - Click on any Airdrop announcement/crypto winning emails - Use weak and easy-to-guess passwords Use these tools and best practices to secure your crypto wallets against hacks and phishing scams. P.S. Any other good tool that I missed? Let me know below. Follow 👉 Aram Mughalyan & share ♻️ this post if you like it.

Introducing Confidential Wrapped Ethereum (cWETH). A permissionless, public good protocol to make Ethereum cypherpunk again. Privacy is crucial for Ethereum’s long-term survivability and operability. It must be unconditional and available for everyone. Very few are willing to disclose their financial activity, especially when it comes to donations and acquisitions. The cWETH is designed to act as a confidential (but not anonymous) harbor by obfuscating users' balances and token transfer amounts. The solution doesn't require protocol-layer modifications and works out-of-the-box via advanced cryptographic schemes. Without diving too deep into the math, the cWETH uses elliptic curve twisted ElGamal commitments to preserve balance confidentiality and the elliptic curve Diffie-Hellman protocol to access the amounts hidden by the commitment scheme. To enforce the correct protocol execution, zk-SNARKs are utilized. - Check out the full cWETH protocol description in the document attached. I have also made a corresponding topic on ethresearch to discuss the proposal in more detail. Would love to hear your thoughts about the draft! Hope to frame the cWETH to become a full-fledged confidential token EIP one day.

To protect the crypto economy, it’s critical to prevent fraud, especially during the peak holiday season. While traditional fraud prevention measures like velocity checks and KYC are fundamental, below are additional ways to safeguard your payments platform during this high-risk period: 1. Leverage Behavioral Biometrics: Monitor user behavior patterns, such as typing speed and mouse movements, to detect anomalies. Fraudsters often exhibit unnatural patterns. 2. Clustering Analysis: Use machine learning to detect clusters of suspicious users or wallets based on IP addresses, device intelligence, and transaction frequency, timing, and volume. This can uncover fraud rings or layering schemes. 3. Dynamic Risk Scoring: Implement a dynamic scoring model that adjusts risk thresholds in real time based on holiday-specific trends like gift card purchases or high-value transactions. 4. Cross-Chain Risk Mapping: Fraudsters increasingly exploit cross-chain bridges to obfuscate funds. Track token movements across chains and flag rapid swaps or transfers to high-risk protocols. 5. Fraud Intelligence Feeds: Integrate crypto-specific fraud feeds (e.g., dark web wallet addresses) to blacklist known bad actors before they can transact on your platform. By combining these methods with customer education, crypto payment processors can build trust while staying ahead of bad actors. #CryptoPayments #FraudPrevention #HolidaySecurity

Custodial Key Compromise Threat: Most #stablecoins (e.g. USDC, USDT) have centralized reserves with upgradeable contracts, blacklisting functions, and treasury control mechanisms; All gated by private keys. #Quantum Risk: Once large-scale quantum computers emerge, traditional ECC and RSA private keys can be derived from public addresses (or signatures). #AI Risk: Generative AI can mimic credential behavior, exploit social engineering, or search for leaked key material across codebases. Entrokey Labs Solution: Quantum-Resilient Key Generation: Entrokey generates post-quantum safe keys, either directly via OpenSSL integrations or layered into existing infrastructure without requiring hardware changes. Entropy as the core: Because Entrokey’s engine is software-only, it can be deployed across #custodial systems, #wallets, #MPC setups, or #HSMs, future-proofing core infrastructure without downtime. #crypto #fintech #pqc #GenAI #cryptocustody