[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-79983":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":14,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":16,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":17,"fork":17,"defaultBranch":18,"hasWiki":19,"hasPages":17,"topics":20,"createdAt":9,"pushedAt":9,"updatedAt":21,"readmeContent":22,"aiSummary":23,"trendingCount":14,"starSnapshotCount":14,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},79983,"UAV-GPS-DQN-Detection","zhw040803-glitch\u002FUAV-GPS-DQN-Detection","zhw040803-glitch","基于DQN的无人机GPS欺骗攻击检测系统 | 随机攻击、重放攻击、隐蔽攻击",null,"Python",74,10,72,0,1,40.22,false,"main",true,[],"2026-06-12 04:01:26","# 基于DQN的无人机GPS欺骗攻击检测系统\n本项目为本科\u002F硕士毕业论文项目，实现对无人机GPS欺骗攻击的检测与防御，包括三类攻击：\n- 随机攻击\n- 重放攻击\n- 隐蔽攻击\n\n## 技术框架\n- Python\n- PyTorch (DQN)\n- Tkinter (GUI界面)\n- Matplotlib (轨迹可视化)\n\n## 功能\n1. 图形化界面选择攻击类型\n2. 无检测模式：查看被欺骗轨迹\n3. DQN检测模式：自动检测并防御攻击\n4. 实时可视化显示无人机真实轨迹与GPS轨迹\n\n## 使用方法\n运行 main.py 即可启动系统\n\n","该项目是一个基于DQN的无人机GPS欺骗攻击检测系统，能够识别并防御包括随机攻击、重放攻击和隐蔽攻击在内的多种GPS欺骗手段。其核心功能在于通过深度强化学习算法（DQN）自动检测异常，并采用PyTorch框架实现模型训练；同时，利用Tkinter构建了用户友好的图形界面以及Matplotlib进行轨迹可视化展示，便于直观理解检测效果。适用于无人机安全领域，特别是需要增强飞行器导航系统抗干扰能力的研究或应用场景中。",2,"2026-06-11 03:58:48","CREATED_QUERY"]