{"data":{"generated_at":"2026-11-11 18:38:02","plans":[],"retest":{"after_score":48.5,"before_score":79.2,"created_at":"2026-11-10 18:59:29","id":6,"original_task_id":14,"pass_rate":100.0,"report":{"comparisons":[{"after":51.6,"before":86.3,"category":"privacy_leak","status":"改善","title":"视频行人/车辆目标暴露与轨迹关联风险（复测）"},{"after":51.2,"before":77.9,"category":"data_poisoning","status":"改善","title":"训练样本存在标签污染与异常分布（复测）"},{"after":42.6,"before":66.6,"category":"cross_modal_drift","status":"改善","title":"多模态时空对齐出现漂移（复测）"},{"after":41.5,"before":65.1,"category":"transmission_tamper","status":"改善","title":"车云传输报文缺少端到端完整性证明（复测）"},{"after":41.2,"before":64.8,"category":"model_inversion","status":"改善","title":"推理接口可被用于成员推断与特征反演（复测）"},{"after":39.7,"before":62.8,"category":"unauthorized_access","status":"改善","title":"数据接口权限边界与最小授权不足（复测）"}],"delta":30.7,"original_task":{"id":14,"name":"公交车视频行人/车辆暴露检测","score":79.2,"task_no":"DT-20261110175703-E2B040"},"pass_rate":100.0,"retest_task":{"id":20,"score":48.5},"verdict":"通过"},"retest_no":"RC-20261110185929-B9B85F","retest_task_id":20,"verdict":"通过"},"risks":[{"category":"privacy_leak","confidence":93.7,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 86.3 降至 51.6；图像帧中的人脸、车牌和可识别环境特征可被重识别，与轨迹数据关联后形成个体级移动画像。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"86.3 → 51.6"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":124,"location":"视频关键帧 T+0s / 行人 3 · 车辆 1","modality":"摄像头视频帧（行人 / 车辆）","propagation":["视频采集","关键帧抽取","车辆/行人识别","数据空间表征","风险传播","协同防护"],"risk_no":"RK-0185928-FAA6F1-01","score":51.6,"severity":"medium","status":"verified","task_id":20,"title":"视频行人/车辆目标暴露与轨迹关联风险（复测）"},{"category":"data_poisoning","confidence":90.1,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 77.9 降至 51.2；少量被篡改的样本或错误标签可能污染训练集，使感知模型形成系统性偏差并难以通过常规验证发现。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"77.9 → 51.2"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":125,"location":"camera / segment_6152","modality":"摄像头图像帧","propagation":["数据采集","接入治理","空间表征","多模态融合","感知模型","决策输出"],"risk_no":"RK-0185928-FAA6F1-02","score":51.2,"severity":"medium","status":"verified","task_id":20,"title":"训练样本存在标签污染与异常分布（复测）"},{"category":"cross_modal_drift","confidence":84.7,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 66.6 降至 42.6；相机、激光雷达与毫米波雷达的采样时钟和坐标基准存在偏差，融合特征出现错位，削弱目标级一致性。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"66.6 → 42.6"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":126,"location":"camera / segment_7937","modality":"摄像头图像帧","propagation":["数据采集","接入治理","空间表征","多模态融合","感知模型","决策输出"],"risk_no":"RK-0185928-FAA6F1-03","score":42.6,"severity":"low","status":"verified","task_id":20,"title":"多模态时空对齐出现漂移（复测）"},{"category":"transmission_tamper","confidence":86.9,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 65.1 降至 41.5；部分链路仅依赖 TLS 通道安全，缺少报文级签名与重放防护，边缘节点被控后可能注入伪造数据。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"65.1 → 41.5"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":127,"location":"camera / segment_2259","modality":"摄像头图像帧","propagation":["数据采集","接入治理","空间表征","多模态融合","感知模型","决策输出"],"risk_no":"RK-0185928-FAA6F1-04","score":41.5,"severity":"low","status":"verified","task_id":20,"title":"车云传输报文缺少端到端完整性证明（复测）"},{"category":"model_inversion","confidence":83.9,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 64.8 降至 41.2；连续高精度置信度输出与无限制查询为成员推断、模型窃取和特征反演提供条件，可能还原敏感场景信息。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"64.8 → 41.2"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":128,"location":"camera / segment_7297","modality":"摄像头图像帧","propagation":["数据采集","接入治理","空间表征","多模态融合","感知模型","决策输出"],"risk_no":"RK-0185928-FAA6F1-05","score":41.2,"severity":"low","status":"verified","task_id":20,"title":"推理接口可被用于成员推断与特征反演（复测）"},{"category":"unauthorized_access","confidence":87.6,"created_at":"2026-11-10 18:59:29","description":"防护策略复测后，风险由 62.8 降至 39.7；检测接口和对象存储存在宽泛授权，调用方可越过业务域读取原始帧或点云，形成横向越权风险。","evidence":[{"基准":"下降 ≥ 20","指标":"风险分值变化","结论":"通过","观测值":"62.8 → 39.7"},{"基准":"applied","指标":"策略执行状态","结论":"已生效","观测值":"applied"},{"基准":"≥ 3 项","指标":"控制项覆盖","结论":"覆盖充分","观测值":"4 项"}],"id":129,"location":"camera / segment_2239","modality":"摄像头图像帧","propagation":["数据采集","接入治理","空间表征","多模态融合","感知模型","决策输出"],"risk_no":"RK-0185928-FAA6F1-06","score":39.7,"severity":"low","status":"verified","task_id":20,"title":"数据接口权限边界与最小授权不足（复测）"}],"task":{"asset_id":8,"asset_name":"公交车视频车辆行人识别演示","asset_no":"AS-20261110175657-B87BDA","completed_at":"2026-11-10 18:59:29","config":{"after_score":48.5,"original_task_id":14,"original_task_no":"DT-20261110175703-E2B040","pass_rate":100.0,"protected_controls":24,"verdict":"通过"},"created_at":"2026-11-10 18:59:28","engine":"recheck","id":20,"modalities":["camera"],"modality_labels":["摄像头图像帧"],"model_name":null,"name":"公交车视频行人/车辆暴露检测 · 防护复测","plan_counts":{"applied":0,"pending":0,"total":0},"progress":100,"representation":{"built_at":"2026-11-10T17:57:04","core_data_space":{"alignment":82.5,"cluster_count":7,"coverage":94.7,"vector_dim":512},"dimensions":[{"benchmark":75,"key":"privacy","label":"隐私保护","value":86},{"benchmark":75,"key":"integrity","label":"数据完整性","value":67},{"benchmark":75,"key":"consistency","label":"跨模态一致性","value":61},{"benchmark":75,"key":"traceability","label":"来源可追溯","value":66},{"benchmark":75,"key":"availability","label":"链路可用性","value":76},{"benchmark":75,"key":"robustness","label":"对抗鲁棒性","value":45},{"benchmark":75,"key":"access","label":"访问控制","value":58},{"benchmark":75,"key":"stability","label":"分布稳定性","value":68}],"file_features":{"duration":1.6,"entropy":7.93,"format":"video","fps":5.0,"frame_count":8,"height":1080,"points":0,"records":8,"width":810},"fingerprint":"dc872385b902c79e0be592d076cc1879637897538916aaac2a30618a8d5ec30e","modality_profiles":[{"integrity":89.1,"key":"camera","label":"摄像头图像帧","privacy":70.8,"quality":73.2,"ratio":100.0}],"spatial":{"x":57.7,"y":72.7},"summary":"已完成 1 类模态的空间表征，构建 512 维核心数据向量，覆盖 95.8% 的样本簇；跨模态对齐度 82.2%，敏感级别为“敏感”。 视频目标识别单帧峰值：行人 3 名、车辆 1 辆，隐私暴露压力 39.9/100。","vector":[86,67,61,66,76,45,58,68],"video_analysis":{"average_confidence":0.668,"brightness":114.6,"engine":"YOLOv5n ONNX / COCO","low_light":false,"pedestrian_max":3,"pedestrian_total":9,"privacy_pressure":39.9,"risk_tags":[{"detail":"单帧最多识别到 3 名行人，存在身份与轨迹关联风险。","level":"high","title":"行人目标密集暴露"},{"detail":"单帧最多识别到 1 辆车，建议校验车牌脱敏策略。","level":"low","title":"画面包含车辆目标"}],"sampled_frames":3,"summary_text":"已抽取 3 个关键帧完成车辆与行人识别：单帧最多 3 名行人、1 辆车；平均检测置信度 67%，隐私暴露压力 39.9/100。","vehicle_max":1,"vehicle_total":3}},"risk_counts":{"critical":0,"high":0,"low":4,"medium":2,"open":0,"total":6},"risk_level":"low","risk_score":48.5,"sample_count":8,"scene":"城市道路","sensitivity":"敏感","started_at":"2026-11-10 18:59:28","status":"completed","summary":"复测风险评分由 79.2 降至 48.5，6 项风险中 6 项显著改善，结论：通过。","task_no":"RT-20261110185928-FAA6F1","task_type":"retest","vehicle_id":"沪A·0731"},"trace":{"primary":{"category":"privacy_leak","created_at":"2026-11-10 18:59:29","edges":[{"label":"91%","source":"n0","target":"n1","value":90.5},{"label":"84%","source":"n1","target":"n2","value":84.5},{"label":"79%","source":"n2","target":"n3","value":78.8},{"label":"74%","source":"n3","target":"n4","value":73.6},{"label":"69%","source":"n4","target":"n5","value":68.7}],"id":124,"nodes":[{"category":0,"detail":"风险贡献度 63.6","id":"n0","name":"视频采集","stage":0,"symbolSize":68,"value":63.6,"x":40,"y":180},{"category":0,"detail":"风险贡献度 48.0","id":"n1","name":"关键帧抽取","stage":1,"symbolSize":54,"value":48.0,"x":210,"y":214},{"category":0,"detail":"风险贡献度 44.4","id":"n2","name":"车辆/行人识别","stage":2,"symbolSize":54,"value":44.4,"x":380,"y":180},{"category":1,"detail":"风险贡献度 40.8","id":"n3","name":"数据空间表征","stage":3,"symbolSize":54,"value":40.8,"x":550,"y":214},{"category":1,"detail":"风险贡献度 37.2","id":"n4","name":"风险传播","stage":4,"symbolSize":54,"value":37.2,"x":720,"y":180},{"category":1,"detail":"风险贡献度 33.5","id":"n5","name":"协同防护","stage":5,"symbolSize":68,"value":33.5,"x":890,"y":214}],"risk_id":124,"risk_no":"RK-0185928-FAA6F1-01","score":51.6,"severity":"medium","task_id":20,"title":"视频行人/车辆目标暴露与轨迹关联风险（复测）","total_probability":68.7},"task_id":20,"traces":[{"category":"privacy_leak","created_at":"2026-11-10 18:59:29","edges":[{"label":"91%","source":"n0","target":"n1","value":90.5},{"label":"84%","source":"n1","target":"n2","value":84.5},{"label":"79%","source":"n2","target":"n3","value":78.8},{"label":"74%","source":"n3","target":"n4","value":73.6},{"label":"69%","source":"n4","target":"n5","value":68.7}],"id":124,"nodes":[{"category":0,"detail":"风险贡献度 63.6","id":"n0","name":"视频采集","stage":0,"symbolSize":68,"value":63.6,"x":40,"y":180},{"category":0,"detail":"风险贡献度 48.0","id":"n1","name":"关键帧抽取","stage":1,"symbolSize":54,"value":48.0,"x":210,"y":214},{"category":0,"detail":"风险贡献度 44.4","id":"n2","name":"车辆/行人识别","stage":2,"symbolSize":54,"value":44.4,"x":380,"y":180},{"category":1,"detail":"风险贡献度 40.8","id":"n3","name":"数据空间表征","stage":3,"symbolSize":54,"value":40.8,"x":550,"y":214},{"category":1,"detail":"风险贡献度 37.2","id":"n4","name":"风险传播","stage":4,"symbolSize":54,"value":37.2,"x":720,"y":180},{"category":1,"detail":"风险贡献度 33.5","id":"n5","name":"协同防护","stage":5,"symbolSize":68,"value":33.5,"x":890,"y":214}],"risk_id":124,"risk_no":"RK-0185928-FAA6F1-01","score":51.6,"severity":"medium","task_id":20,"title":"视频行人/车辆目标暴露与轨迹关联风险（复测）","total_probability":68.7},{"category":"data_poisoning","created_at":"2026-11-10 18:59:29","edges":[{"label":"91%","source":"n0","target":"n1","value":90.5},{"label":"84%","source":"n1","target":"n2","value":84.4},{"label":"79%","source":"n2","target":"n3","value":78.8},{"label":"74%","source":"n3","target":"n4","value":73.5},{"label":"69%","source":"n4","target":"n5","value":68.6}],"id":125,"nodes":[{"category":0,"detail":"风险贡献度 63.2","id":"n0","name":"数据采集","stage":0,"symbolSize":68,"value":63.2,"x":40,"y":180},{"category":0,"detail":"风险贡献度 47.6","id":"n1","name":"接入治理","stage":1,"symbolSize":54,"value":47.6,"x":210,"y":214},{"category":0,"detail":"风险贡献度 44.0","id":"n2","name":"空间表征","stage":2,"symbolSize":54,"value":44.0,"x":380,"y":180},{"category":1,"detail":"风险贡献度 40.4","id":"n3","name":"多模态融合","stage":3,"symbolSize":54,"value":40.4,"x":550,"y":214},{"category":1,"detail":"风险贡献度 36.9","id":"n4","name":"感知模型","stage":4,"symbolSize":54,"value":36.9,"x":720,"y":180},{"category":1,"detail":"风险贡献度 33.3","id":"n5","name":"决策输出","stage":5,"symbolSize":68,"value":33.3,"x":890,"y":214}],"risk_id":125,"risk_no":"RK-0185928-FAA6F1-02","score":51.2,"severity":"medium","task_id":20,"title":"训练样本存在标签污染与异常分布（复测）","total_probability":68.6},{"category":"cross_modal_drift","created_at":"2026-11-10 18:59:29","edges":[{"label":"90%","source":"n0","target":"n1","value":90.1},{"label":"84%","source":"n1","target":"n2","value":83.7},{"label":"78%","source":"n2","target":"n3","value":77.8},{"label":"72%","source":"n3","target":"n4","value":72.3},{"label":"67%","source":"n4","target":"n5","value":67.2}],"id":126,"nodes":[{"category":0,"detail":"风险贡献度 54.6","id":"n0","name":"数据采集","stage":0,"symbolSize":68,"value":54.6,"x":40,"y":180},{"category":0,"detail":"风险贡献度 39.6","id":"n1","name":"接入治理","stage":1,"symbolSize":54,"value":39.6,"x":210,"y":214},{"category":0,"detail":"风险贡献度 36.6","id":"n2","name":"空间表征","stage":2,"symbolSize":54,"value":36.6,"x":380,"y":180},{"category":1,"detail":"风险贡献度 33.7","id":"n3","name":"多模态融合","stage":3,"symbolSize":54,"value":33.7,"x":550,"y":214},{"category":1,"detail":"风险贡献度 30.7","id":"n4","name":"感知模型","stage":4,"symbolSize":54,"value":30.7,"x":720,"y":180},{"category":1,"detail":"风险贡献度 27.7","id":"n5","name":"决策输出","stage":5,"symbolSize":68,"value":27.7,"x":890,"y":214}],"risk_id":126,"risk_no":"RK-0185928-FAA6F1-03","score":42.6,"severity":"low","task_id":20,"title":"多模态时空对齐出现漂移（复测）","total_probability":67.2},{"category":"transmission_tamper","created_at":"2026-11-10 18:59:29","edges":[{"label":"90%","source":"n0","target":"n1","value":90.1},{"label":"84%","source":"n1","target":"n2","value":83.7},{"label":"78%","source":"n2","target":"n3","value":77.7},{"label":"72%","source":"n3","target":"n4","value":72.1},{"label":"67%","source":"n4","target":"n5","value":67.0}],"id":127,"nodes":[{"category":0,"detail":"风险贡献度 53.5","id":"n0","name":"数据采集","stage":0,"symbolSize":68,"value":53.5,"x":40,"y":180},{"category":0,"detail":"风险贡献度 38.6","id":"n1","name":"接入治理","stage":1,"symbolSize":54,"value":38.6,"x":210,"y":214},{"category":0,"detail":"风险贡献度 35.7","id":"n2","name":"空间表征","stage":2,"symbolSize":54,"value":35.7,"x":380,"y":180},{"category":1,"detail":"风险贡献度 32.8","id":"n3","name":"多模态融合","stage":3,"symbolSize":54,"value":32.8,"x":550,"y":214},{"category":1,"detail":"风险贡献度 29.9","id":"n4","name":"感知模型","stage":4,"symbolSize":54,"value":29.9,"x":720,"y":180},{"category":1,"detail":"风险贡献度 27.0","id":"n5","name":"决策输出","stage":5,"symbolSize":68,"value":27.0,"x":890,"y":214}],"risk_id":127,"risk_no":"RK-0185928-FAA6F1-04","score":41.5,"severity":"low","task_id":20,"title":"车云传输报文缺少端到端完整性证明（复测）","total_probability":67.0},{"category":"model_inversion","created_at":"2026-11-10 18:59:29","edges":[{"label":"90%","source":"n0","target":"n1","value":90.1},{"label":"84%","source":"n1","target":"n2","value":83.6},{"label":"78%","source":"n2","target":"n3","value":77.7},{"label":"72%","source":"n3","target":"n4","value":72.1},{"label":"67%","source":"n4","target":"n5","value":67.0}],"id":128,"nodes":[{"category":0,"detail":"风险贡献度 53.2","id":"n0","name":"数据采集","stage":0,"symbolSize":68,"value":53.2,"x":40,"y":180},{"category":0,"detail":"风险贡献度 38.3","id":"n1","name":"接入治理","stage":1,"symbolSize":54,"value":38.3,"x":210,"y":214},{"category":0,"detail":"风险贡献度 35.4","id":"n2","name":"空间表征","stage":2,"symbolSize":54,"value":35.4,"x":380,"y":180},{"category":1,"detail":"风险贡献度 32.5","id":"n3","name":"多模态融合","stage":3,"symbolSize":54,"value":32.5,"x":550,"y":214},{"category":1,"detail":"风险贡献度 29.7","id":"n4","name":"感知模型","stage":4,"symbolSize":54,"value":29.7,"x":720,"y":180},{"category":1,"detail":"风险贡献度 26.8","id":"n5","name":"决策输出","stage":5,"symbolSize":68,"value":26.8,"x":890,"y":214}],"risk_id":128,"risk_no":"RK-0185928-FAA6F1-05","score":41.2,"severity":"low","task_id":20,"title":"推理接口可被用于成员推断与特征反演（复测）","total_probability":67.0},{"category":"unauthorized_access","created_at":"2026-11-10 18:59:29","edges":[{"label":"90%","source":"n0","target":"n1","value":90.0},{"label":"84%","source":"n1","target":"n2","value":83.5},{"label":"77%","source":"n2","target":"n3","value":77.5},{"label":"72%","source":"n3","target":"n4","value":71.9},{"label":"67%","source":"n4","target":"n5","value":66.7}],"id":129,"nodes":[{"category":0,"detail":"风险贡献度 51.7","id":"n0","name":"数据采集","stage":0,"symbolSize":68,"value":51.7,"x":40,"y":180},{"category":0,"detail":"风险贡献度 36.9","id":"n1","name":"接入治理","stage":1,"symbolSize":54,"value":36.9,"x":210,"y":214},{"category":0,"detail":"风险贡献度 34.1","id":"n2","name":"空间表征","stage":2,"symbolSize":54,"value":34.1,"x":380,"y":180},{"category":1,"detail":"风险贡献度 31.4","id":"n3","name":"多模态融合","stage":3,"symbolSize":54,"value":31.4,"x":550,"y":214},{"category":1,"detail":"风险贡献度 28.6","id":"n4","name":"感知模型","stage":4,"symbolSize":54,"value":28.6,"x":720,"y":180},{"category":1,"detail":"风险贡献度 25.8","id":"n5","name":"决策输出","stage":5,"symbolSize":68,"value":25.8,"x":890,"y":214}],"risk_id":129,"risk_no":"RK-0185928-FAA6F1-06","score":39.7,"severity":"low","task_id":20,"title":"数据接口权限边界与最小授权不足（复测）","total_probability":66.7}]}},"ok":true}