Innovating privacy, security, and decentralization through open-source research and experimental implementations.
A tool for auditing multi-hop Tor routing patterns to identify vulnerabilities in anonymity-preserving network designs. Features real-time traffic pattern visualization and threat intelligence mapping.
A decentralized identity framework using self-sovereign identities and zero-knowledge proofs. Allows users to verify credentials without exposing sensitive metadata, compatible with Tor and I2P networks.
A research sandbox for testing adversarial network patterns on simulated dark web environments. Features configurable honeypot networks, synthetic traffic generators, and behavioral analytics for detecting malicious AI actors.
All projects follow strict ethical guidelines to avoid unintended harm to privacy-preserving networks. Research maintains compliance with GDPR, ISO 27001, and other global cybersecurity frameworks.
Projects prioritize decentralized, privacy-first architectures that can't be censored or controlled by centralized entities. All source code is open for audit and contribution.
We're pushing the boundaries of network security and anonymity - from novel Tor routing topologies to blockchain-based identity systems that work in encrypted dark web environments.