Pathera Research
Ongoing research behind Pathera's balance-based privacy model.
Development Timeline
Private beta launch
Invite-only testnet release with core balance routing and manual sub-address management. Limited to 100 early testers.
Public mainnet release
Full launch with automatic balance routing, improved sub-address generation algorithms, and mobile wallet support (iOS/Android).
Advanced features & DeFi integration
Enhanced privacy through randomized delay windows, native support for major DeFi protocols, and cross-chain bridge integrations.
Active Research Areas
Balance fragmentation optimization
Finding the optimal balance between number of sub-addresses (more = better privacy) and transaction efficiency (fewer = lower fees). Testing heuristics for dynamic sub-address count based on total balance and usage patterns.
Current status: Active prototyping and simulation testing
Pattern detection in balance-based routing
Applying heuristic analysis and signal aggregation to identify observable patterns in internal routing behavior. AI-driven modeling helps evaluate routing strategies against probabilistic clustering attacks and timing correlation. Research focuses on quantifying privacy leakage under various adversarial models.
Current status: Ongoing simulation and comparative analysis of routing heuristics
Heuristic analysis of transaction flows
Investigating on-chain signal aggregation and risk modeling to assess token behavior and portfolio composition. AI tools support exploratory analysis of transaction observability, helping identify anomalous patterns and assess exposure to chain analysis techniques.
Current status: Prototype testing for pattern recognition and anomaly detection
Transaction timing analysis resistance
Evaluating whether timing patterns can leak identity despite balance obfuscation. Exploring random delay windows and batching strategies to prevent timing-based correlation attacks.
Current status: Analyzing trade-offs between user experience (speed) and privacy (delay)
Cross-chain privacy preservation
Investigating methods to maintain privacy when bridging assets to other chains. Working on bridge integrations that don't leak Mixer-specific transaction signatures or patterns.
Current status: Early exploration, no implementation yet
Transaction fee optimization
Privacy costs money—more sub-addresses mean more transactions and higher fees. Researching batch operations and compute unit optimization to reduce per-transaction costs.
Current status: Prototyping transaction compression techniques
Open Challenges
DeFi protocol compatibility
Many DeFi protocols assume single-address accounting. Preserving privacy while interacting with protocols that expect consistent address behavior is an ongoing challenge.
Advanced graph analysis resistance
Sophisticated clustering algorithms can potentially link sub-addresses through timing, amount patterns, or on-chain metadata. We're continuously studying attack vectors and developing mitigation strategies.
Mobile wallet performance
Managing multiple sub-addresses requires additional computation and network requests. Optimizing performance for mobile devices without sacrificing privacy guarantees is critical for adoption.
Collaborate with us
If you're working on privacy research, cryptography, Solana infrastructure, or wallet security, we want to hear from you. We're particularly interested in graph analysis techniques, zero-knowledge proofs, and novel transaction routing algorithms.
Contact research teamA detailed technical paper will be released during beta.