Results for “protocol-statistics”

Authorized reverse engineering of custom binary protocols, Protobuf/gRPC, WebSocket frames, and PCAP-driven protocol recovery with structured workflow and tooling.

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling.

Quick reference for PostgreSQL best practices covering query optimization, schema design, indexing, Row Level Security, and connection pooling.

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.

Analyze vrf operations. Use when you need to understand vrf mechanisms, evaluate protocol security, or reference on-chain concepts.

Continuously discover, classify, and score APIs based on risk while enforcing security policies across the API lifecycle.

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts using pandas for statistical analysis and anomaly detection.

Processes STIX 2.1 threat intelligence bundles from TAXII 2.1 servers, normalizing objects into platform-native schemas and routing them to consuming systems.

Analyze amm operations. Use when you need to understand amm mechanisms, evaluate protocol security, or reference on-chain concepts.

Analyze cex operations. Use when you need to understand cex mechanisms, evaluate protocol security, or reference on-chain concepts.