摘要
随着船联网技术的不断发展,人们能够更好监测船舶状态、保障航行安全、提高运营效率。与此同时,船联网的安全问题也随之而来。传统网络的安全问题同样会对船联网造成影响,一旦发生后果更加严重。传统网络中的病毒跟踪及检测技术在复杂的船联网通信环境下的性能和效率大大降低,病毒跟踪及检测技术的智能化成为船联网通信系统安全问题的关键。本文提出基于优化后BP神经网络的病毒入侵检测模型,有效提高了病毒跟踪及检测效率。
Greatly reduce the performance and efficiency of the traditional network virus tracking and detection technology in complex vessel network communication environment,virus tracking and detection technology of intelligent becomes ship network communication system security key. This paper proposed a virus intrusion detection model based on optimized BP neural network,which can effectively improve the efficiency of virus tracking and detection.
出处
《舰船科学技术》
北大核心
2016年第5X期94-96,共3页
Ship Science and Technology
关键词
船联网
病毒检测
神经网络
Internet of ships
virus detection
neural network
