// // Copyright (c) 2026 BEL ESPRIT D ACCORD TRUST HOLDINGS INC // All rights reserved. use std::time::{Instant, Duration}; use std::sync::RwLock; /// Cognitive strain monitor implementing the ICP entropy model. /// Tracks system entropy against the HyperKitty bound (H <= 0.20 nats) /// and provides real-time strain assessment. pub struct CognitiveStrainMonitor { h_safe: f64, scaling_factor: u64, h_base: f64, update_interval: Duration, state: RwLock, } #[derive(Debug, Clone, Copy)] struct StrainState { h_trunc: f64, h_hash_removed: bool, delta_rules: u64, h_cog: f64, icp: f64, strain: f64, timestamp: Instant, } impl CognitiveStrainMonitor { pub fn new() -> Self { Self { h_safe: 0.20, scaling_factor: 10_000, h_base: 0.10, update_interval: Duration::from_millis(100), state: RwLock::new(StrainState { h_trunc: 0.0, h_hash_removed: false, delta_rules: 0, h_cog: 0.10, icp: 0.0, strain: 0.0, timestamp: Instant::now(), }), } } pub fn update_truncation(&self, ops: u64) { let epsilon = 168.0 / 10_088_352.0; // ~1.665e-5 nats/operation let mut state = self.state.write().unwrap(); state.h_trunc += ops as f64 * epsilon; state.timestamp = Instant::now(); } pub fn set_hash_status(&self, removed: bool) { let mut state = self.state.write().unwrap(); state.h_hash_removed = removed; state.timestamp = Instant::now(); } pub fn update_marlborg_growth(&self, new_rules: u64) { let mut state = self.state.write().unwrap(); state.delta_rules += new_rules; state.timestamp = Instant::now(); } pub fn compute_strain(&self) -> f64 { let mut state = self.state.write().unwrap(); let h_hash = if state.h_hash_removed { 0.04 } else { 0.0 }; let h_marlborg = state.delta_rules as f64 * 0.0005; state.h_cog = self.h_base + state.h_trunc + h_hash + h_marlborg; state.icp = if state.h_cog > self.h_safe { state.h_cog - self.h_safe } else { 0.0 }; state.strain = if self.h_safe > 0.0 { state.icp / self.h_safe } else { 0.0 }; state.timestamp = Instant::now(); state.strain } pub fn get_entropy_fixed(&self) -> u64 { let state = self.state.read().unwrap(); (state.h_cog * self.scaling_factor as f64) as u64 } pub fn get_s_bh_fixed(&self) -> u64 { (self.h_safe * self.scaling_factor as f64) as u64 } pub fn is_overflow(&self) -> bool { self.get_entropy_fixed() > self.get_s_bh_fixed() } pub fn is_critical(&self, threshold: f64) -> bool { self.compute_strain() > threshold } pub fn get_status(&self) -> String { let strain = self.compute_strain() * 100.0; match strain { s if s < 50.0 => format!("HEALTHY: {:.1}% strain", s), s if s < 70.0 => format!("WARNING: {:.1}% strain", s), s if s < 85.0 => format!("HIGH: {:.1}% strain", s), _ => format!("CRITICAL: {:.1}% strain", strain), } } /// Compute max safe operations before entropy exceeds bound pub fn max_safe_ops(&self, delta_rules: u64) -> u64 { let epsilon = 168.0 / 10_088_352.0; let h_hash = if self.state.read().unwrap().h_hash_removed { 0.04 } else { 0.0 }; let h_marlborg = delta_rules as f64 * 0.0005; let remaining = self.h_safe - self.h_base - h_hash - h_marlborg; if remaining <= 0.0 { return 0; } (remaining / epsilon) as u64 } } fn main() { let monitor = CognitiveStrainMonitor::new(); println!("=== Marlborg-Wormhole Strain Monitor ==="); println!("S_BH (fixed): {}", monitor.get_s_bh_fixed()); println!("Initial: {}", monitor.get_status()); println!("Max safe ops (0 rules): {}", monitor.max_safe_ops(0)); println!("Max safe ops (100 rules): {}", monitor.max_safe_ops(100)); println!("Max safe ops (440 rules): {}", monitor.max_safe_ops(440)); // Simulate normal operation for _ in 0..100 { monitor.update_truncation(120); } println!("\nAfter 12K ops: {}", monitor.get_status()); println!("Overflow: {}", monitor.is_overflow()); // Simulate attack monitor.set_hash_status(true); monitor.update_marlborg_growth(50); println!("\nAfter hash removal + 50 rules: {}", monitor.get_status()); println!("Overflow: {}", monitor.is_overflow()); }