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Considering data security

Author:Chuan Chen 阅读数:37132人阅读 分类: ECharts

Basic Concepts of Data Security

Data security is crucial in ECharts applications, involving three core aspects: data transmission, storage, and presentation. Unprotected sensitive data may lead to information leaks and even legal risks. For example, when a healthcare platform uses ECharts to display patient age distribution, sending raw data containing ID numbers directly to the frontend violates the relevant provisions of the Personal Information Protection Law.

Data Transmission Security

HTTPS Encryption

All API requests containing chart data must be encrypted via HTTPS:

// Bad practice: Using unencrypted HTTP
fetch('http://api.example.com/chart-data')

// Correct approach: Enforce HTTPS
fetch('https://api.example.com/chart-data', {
  headers: {
    'Authorization': `Bearer ${token}`
  }
})

Data Desensitization

Sensitive fields should be desensitized before the server returns data:

interface PatientData {
  id: number;
  name: string;  // Needs desensitization
  diagnosis: string;
}

// Desensitization function example
function desensitize(data: PatientData[]): PatientData[] {
  return data.map(item => ({
    ...item,
    name: item.name.charAt(0) + '**'
  }));
}

Frontend Data Storage Security

Avoid Storing Sensitive Data Locally

A common mistake is storing authentication information in localStorage:

// High-risk practice
localStorage.setItem('auth_token', 'eyJhbGci...');

// Recommended solution
sessionStorage.setItem('temp_chart_config', JSON.stringify(config));

Web Worker for Confidential Computations

For sensitive data requiring frontend calculations, use Web Workers to isolate the execution environment:

// worker.js
self.onmessage = function(e) {
  const sensitiveData = decrypt(e.data.payload);
  const chartOption = processData(sensitiveData);
  postMessage(chartOption);
}

// Main thread
const worker = new Worker('worker.js');
worker.postMessage({ payload: encryptedData });

ECharts Configuration Security Practices

Disable Unnecessary Features

Deactivate potentially risky features in system configurations:

option = {
  toolbox: {
    show: false // Disable toolbox features that may export data
  },
  tooltip: {
    formatter: (params) => {
      // Filter sensitive information
      return `${params.seriesName}: ${params.value.replace(/\d{4}$/, '****')}`
    }
  }
}

Dynamic Permission Control

Generate chart configurations dynamically based on user roles:

function generateChartOptions(userRole) {
  const baseOption = {
    xAxis: { type: 'category' },
    series: [{ type: 'bar' }]
  };

  if (userRole === 'admin') {
    baseOption.toolbox = {
      show: true,
      feature: {
        dataView: { readOnly: false },
        saveAsImage: {}
      }
    };
  }
  return baseOption;
}

Third-Party Dependency Security

Regularly Update ECharts Versions

Keep dependencies up-to-date with secure versions:

# Check for known vulnerabilities
npm audit

# Update to a secure version
npm update echarts@5.4.3

Content Security Policy (CSP) Configuration

Strictly restrict resource loading in HTTP headers:

Content-Security-Policy: 
  default-src 'self';
  script-src 'self' 'unsafe-eval' cdn.jsdelivr.net;
  style-src 'self' 'unsafe-inline';
  img-src data:;

Data Rendering Protection Measures

XSS Prevention

Escape dynamically generated HTML content:

function safeTooltipFormatter(params) {
  const div = document.createElement('div');
  div.textContent = params.name;
  return `${div.innerHTML}: ${params.value}`;
}

Large-Number Handling

Process large datasets that may cause memory leaks:

option = {
  dataset: {
    source: largeData.map(item => ({
      ...item,
      // Precision control to prevent floating-point attacks
      value: Number(item.value.toFixed(4))
    }))
  },
  progressive: 1e6,  // Enable progressive rendering
  progressiveThreshold: 1e6
}

Audit and Monitoring Mechanisms

User Behavior Logging

Record critical operation events:

chart.on('click', (params) => {
  if (params.componentType === 'series') {
    logAnalytics({
      event: 'chart_click',
      data: {
        // Record non-sensitive metadata
        seriesIndex: params.seriesIndex,
        dataIndex: params.dataIndex
      }
    });
  }
});

Performance Monitoring

Detect performance issues caused by abnormal data volumes:

const observer = new PerformanceObserver((list) => {
  const entries = list.getEntries();
  if (entries.some(entry => entry.duration > 1000)) {
    alert('Chart rendering timeout');
  }
});
observer.observe({ entryTypes: ['measure'] });

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Front End Chuan

Front End Chuan, Chen Chuan's Code Teahouse 🍵, specializing in exorcising all kinds of stubborn bugs 💻. Daily serving baldness-warning-level development insights 🛠️, with a bonus of one-liners that'll make you laugh for ten years 🐟. Occasionally drops pixel-perfect romance brewed in a coffee cup ☕.