电缆沟管井的信息安全与电网的地理信息系统(Geographic information system,GIS)相连,监测信息大多采用私有协议上传,以降低信息传输中的能量损耗,但这类私有方式通常比较容易破解,存在信息安全隐患。为此,提出基于融合加密技术的电缆...电缆沟管井的信息安全与电网的地理信息系统(Geographic information system,GIS)相连,监测信息大多采用私有协议上传,以降低信息传输中的能量损耗,但这类私有方式通常比较容易破解,存在信息安全隐患。为此,提出基于融合加密技术的电缆管沟井传感网络信息传输加密方法,融合同态加密技术与椭圆曲线加密技术,实现了对电缆运行数据传输时的加密和保护,并结合可逆水印技术与图像加密技术对解密私钥进行保护。提高了系统的安全性和鲁棒性。试验结果表明,设计的信息传输加密策略具有高安全性,证明了设计的信息传输加密策略加密效果良好,具有一定的应用价值。展开更多
With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of...With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of 5G/6G networks will inevitably lead to severe interference,resulting in degradation in the communication performance of maritime users.In this paper,we propose a safe deep reinforcement learning based interference coordination scheme to jointly optimize the power control and bandwidth allocation in maritime communication systems,and exploit the quality-of-service requirements of users as the risk value references to evaluate the communication policies.In particular,this scheme designs a deep neural network to select the communication policies through the evaluation network and update the parameters using the target network,which improves the communication performance and speeds up the convergence rate.Moreover,the Nash equilibrium of the interference coordination game and the computational complexity of the proposed scheme are analyzed.Simulation and experimental results verify the performance gain of the proposed scheme compared with benchmarks.展开更多
文摘电缆沟管井的信息安全与电网的地理信息系统(Geographic information system,GIS)相连,监测信息大多采用私有协议上传,以降低信息传输中的能量损耗,但这类私有方式通常比较容易破解,存在信息安全隐患。为此,提出基于融合加密技术的电缆管沟井传感网络信息传输加密方法,融合同态加密技术与椭圆曲线加密技术,实现了对电缆运行数据传输时的加密和保护,并结合可逆水印技术与图像加密技术对解密私钥进行保护。提高了系统的安全性和鲁棒性。试验结果表明,设计的信息传输加密策略具有高安全性,证明了设计的信息传输加密策略加密效果良好,具有一定的应用价值。
文摘With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of 5G/6G networks will inevitably lead to severe interference,resulting in degradation in the communication performance of maritime users.In this paper,we propose a safe deep reinforcement learning based interference coordination scheme to jointly optimize the power control and bandwidth allocation in maritime communication systems,and exploit the quality-of-service requirements of users as the risk value references to evaluate the communication policies.In particular,this scheme designs a deep neural network to select the communication policies through the evaluation network and update the parameters using the target network,which improves the communication performance and speeds up the convergence rate.Moreover,the Nash equilibrium of the interference coordination game and the computational complexity of the proposed scheme are analyzed.Simulation and experimental results verify the performance gain of the proposed scheme compared with benchmarks.
