Network Security
StarMiner’s Network Security architecture is the first line of defense in its decentralized computing ecosystem. Given the protocol’s reliance on distributed GPU infrastructure, job routing, and on-chain coordination, this layer must ensure that all participating nodes whether providers, validators, or clients operate within a secure, authenticated, and tamper-resistant environment.
The design is proactive and adaptive, aimed not just at blocking malicious behavior but deterring systemic attacks, preserving job integrity, and ensuring uninterrupted network performance under global load.
Key Threat Models Addressed
StarMiner’s network security infrastructure is engineered to defend against:
Sybil Attacks: Fake nodes attempting to overwhelm or manipulate the network
Eclipse Attacks: Attempted isolation of honest nodes by controlling surrounding peers
DDoS and Flooding: Malicious task spamming or job queue congestion
Man-in-the-Middle (MITM): Data interception during job transmission
Unauthorized Compute Nodes: Rogue providers attempting to bypass verification or deliver incorrect results
Core Security Mechanisms
1. Peer Authentication and Whitelisting
All nodes must register on-chain and pass a proof-of-resource test.
Job assignments are only routed to verified Provider Nodes with known historical performance metrics.
Nodes that fall below security or uptime thresholds are automatically throttled or quarantined from routing pools.
2. Encrypted Job Transmission
Job metadata and payloads are transmitted via end-to-end encryption, using rotating public/private key pairs and TLS-based transport.
Job assignments include cryptographic signatures to prevent spoofing or redirection.
Only the intended Provider Node can decrypt task parameters and return outputs, minimizing MITM risk.
3. Rate Limiting and Throttling
Service Requesters are subject to rate controls based on reputation and stake.
New nodes and users must warm up gradually, with access expanded as performance is verified.
Anti-spam guards prevent malicious task flooding or job queue manipulation.
4. Distributed Load Balancing
The compute protocol dynamically spreads workloads across regions and node clusters to reduce attack surfaces and mitigate DDoS risks.
No single node or zone holds outsized influence on task execution.
5. Anomaly Detection and Telemetry
Each node transmits encrypted performance data to the network’s monitoring layer.
Behavioral analytics (e.g., abnormal job failures, task rejections, suspicious traffic spikes) trigger automated alerts and may result in temporary suspension.
Off-chain AI models may be used to detect coordinated attack patterns over time.
Sybil Resistance and Identity Hardening
StarMiner enforces identity integrity through a mix of:
On-chain node registration
Stake-based eligibility thresholds
Reputation systems that reward longevity, uptime, and verified execution
Nodes with a history of tampering, downtime, or invalid results are gradually phased out of job routing, reducing incentives for spam or identity forgery.
In addition, governance-enforced staking requirements for Validators and Oracles act as economic deterrents against low-effort Sybil setups.
Decentralized Recovery and Redundancy
Should nodes go offline, be compromised, or fail validation checks, the computing protocol:
Automatically redistributes tasks via fallback queues
Flags suspicious behavior to the governance layer
Penalizes malicious actors via slashing or reputation decay
This ensures network continuity and integrity, even in the face of targeted node or regional outages.
Summary
StarMiner’s network security framework provides robust protection against infrastructure-level threats, enabling the protocol to operate as a resilient, globally distributed compute layer. By embedding cryptographic safeguards, dynamic node scoring, encrypted task routing, and decentralized failover systems, the network ensures that compute remains accessible, trusted, and censorship-resistant even at scale.
Last updated