Cybersecurity Threat Map

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Cybersecurity data
np.random.seed(42)
n_events = 10000

attack_freq = np.random.exponential(5, n_events)
attack_freq = np.clip(attack_freq, 0.1, 50)

base_response = 50 + 20 * np.log1p(attack_freq)
response_time = base_response + np.random.exponential(30, n_events)
response_time = np.clip(response_time, 10, 500)

# Matrix cyber theme
plt.style.use('dark_background')
fig, ax = plt.subplots(figsize=(10, 8))
fig.patch.set_facecolor('#050808')
ax.set_facecolor('#050808')

# Custom colormap - matrix green
colors = ['#050808', '#081810', '#0a2818', '#0c3820', '#104828', 
          '#145830', '#187840', '#20a850', '#30d860', '#50ff70', '#80ff90']
cmap = LinearSegmentedColormap.from_list('matrix', colors, N=256)

# 2D histogram
h = ax.hist2d(attack_freq, response_time, bins=50, cmap=cmap, cmin=1)

# SLA thresholds
ax.axhline(y=100, color='#50ff70', linestyle='--', alpha=0.8, linewidth=2, label='SLA Target (100ms)')
ax.axhline(y=200, color='#ffa502', linestyle=':', alpha=0.7, linewidth=1.5, label='Warning (200ms)')
ax.axhline(y=300, color='#ff6b6b', linestyle='--', alpha=0.7, linewidth=1.5, label='Critical (300ms)')

# DDoS zone
ax.axvspan(20, 50, alpha=0.15, color='#ff6b6b', label='DDoS Range')

# Styled colorbar
cbar = plt.colorbar(h[3], ax=ax, pad=0.02, shrink=0.85)
cbar.ax.set_facecolor('#050808')
cbar.set_label('Event Count', fontsize=11, color='#80ff90', labelpad=10)
cbar.ax.yaxis.set_tick_params(color='#80ff90')
cbar.outline.set_edgecolor('#185020')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#80ff90', fontsize=9)

ax.set_xlabel('Attack Frequency (events/min)', fontsize=13, color='#80ff90', fontweight='600', labelpad=10)
ax.set_ylabel('Response Time (ms)', fontsize=13, color='#80ff90', fontweight='600', labelpad=10)
ax.set_title('Security Operations - Threat Response', fontsize=16, color='#50ff70', fontweight='bold', pad=20)

ax.tick_params(colors='#50d860', labelsize=10, length=0)
for spine in ax.spines.values():
    spine.set_visible(False)

ax.legend(loc='upper left', fontsize=9, facecolor='#081810', edgecolor='#185020', labelcolor='#80ff90')
plt.tight_layout()
plt.show()