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This is engineered with a focus on security, scalability, and user experience, providing a robust and flexible framework that empowers creators to launch innovative tokens seamlessly while offering traders a reliable and engaging platform for active participation in the decentralized economy.
ML classifier that predicts security flaws in cryptographic protocol designs using structural features like nonce usage, mutual authentication, and key freshness checks, trained and tested on real protocols including Needham-Schroeder, WPA2, TLS, and Kerberos
A SageMath implementation of Edwards-Curve Digital Signature Algorithm (EdDSA), featuring secure key generation, signing, and verification. Focused on Cryptographic Primitives and highly efficient, scalable algorithms.
This project uses secp256k1, keccak256 hashing, and BIP39 for generating vanity addresses, implementing secure cryptographic operations and creating mnemonic phrases.
Computes the weakest trust a security protocol needs for a goal: the minimal ways to stop all of its minimal attacks (OCaml; bounded Dolev-Yao analyser and CPSA oracle)