当前位置：首页 > news >正文

游戏App前端安全加固：利用AI云防护技术抵御恶意攻击

news 2025/6/27 17:36:11

前端敏感操作保护

const SecurityWrapper = (() => {const API_KEYS = new Map();let sessionToken = '';// 初始化安全会话const initSession = async () => {const deviceId = generateDeviceFingerprint();const response = await fetch('https://api.qunlian.cloud/session', {method: 'POST',headers: {'X-Device-ID': deviceId,'Content-Type': 'application/json'},body: JSON.stringify({ appId: 'YOUR_APP_ID' })});const data = await response.json();sessionToken = data.sessionToken;API_KEYS.set('payment', data.keys.paymentKey);API_KEYS.set('leaderboard', data.keys.leaderboardKey);};// 生成请求签名const signRequest = (endpoint, payload) => {const timestamp = Date.now();const nonce = Math.random().toString(36).substring(2, 10);const key = API_KEYS.get(endpoint) || '';const signStr = `${endpoint}|${timestamp}|${nonce}|${JSON.stringify(payload)}`;const signature = CryptoJS.HmacSHA256(signStr, key).toString();return {headers: {'X-Session-Token': sessionToken,'X-Timestamp': timestamp,'X-Nonce': nonce,'X-Signature': signature}};};return { initSession, signRequest };
})();// 使用示例
async function submitScore(score) {await SecurityWrapper.initSession();const { headers } = SecurityWrapper.signRequest('leaderboard', { score });return fetch('https://api.yourgame.com/leaderboard', {method: 'POST',headers: { ...headers,'Content-Type': 'application/json'},body: JSON.stringify({ score })});
}

实时防御数据可视化

<!-- 安全态势监控面板 -->
<div class="security-dashboard"><div class="metric"><h4>当前攻击流量</h4><canvas id="trafficChart" width="400" height="200"></canvas></div><div class="metric"><h4>威胁类型分布</h4><div id="threatChart"></div></div>
</div><script>
// 连接群联防护数据API
async function loadSecurityData() {const res = await fetch('https://api.qunlian.cloud/analytics');const data = await res.json();renderTrafficChart(data.traffic);renderThreatChart(data.threats);
}function renderTrafficChart(data) {// 使用Chart.js绘制流量图表const ctx = document.getElementById('trafficChart').getContext('2d');new Chart(ctx, {type: 'line',data: {labels: data.labels,datasets: [{label: '正常流量',data: data.legitimate,borderColor: '#4CAF50'},{label: '攻击流量',data: data.malicious,borderColor: '#F44336'}]}});
}
</script>