摘要
提出一种组播通信安全加密方案.混沌神经网络复杂的非线性动力学特性主要包括序列轨迹的无法预测性和混沌吸引子分类的不规则性.组密钥管理协议LKH优势在于密钥更新快和更新代价小,适合大型组播通信环境.该方案是把混沌神经网络和组密钥管理协议的优势相融合应用在安全组播通信中.理论分析表明该方案具有良好的随机性、复杂度、速度快等密码学特点.在Altera DE2FPGA硬件平台上进行算法设计与仿真,仿真结果表明该算法只占用约5%左右的硬件资源,时钟可达50 MHz,能够满足安全组播通信的要求.
An encryption scheme for multicast communications is proposed.Complex nonlinear dynamics of chaotic neural network mainly includes the sequence of irregular unpredictable and chaotic attractor trajectory classification.Group key management protocol LKH has the advantage of fast key updating and small updating cost,which is suitable for large-scale multicast communication environment.The program mixes the chaotic neural network and the group key management protocol on the field of secure multicast communication.Theoretical analysis has shown that the scheme has been characterized by good randomness,complexity,speed fast and other cryptography features.The algorithm is designed and simulated on the Altera DE2 FPGA hardware platform.The simulation results show that it only consume 5% of the hardware resources and the clock can be up to 50 MHz,so as to meet the requirement of secure multicast communication.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2016年第4期635-640,共6页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(编号:61370007)
基于北斗技术应用的工程机械数字化研发平台项目(编号:3502Z20131019)
华侨大学科研基金项目(编号:14BS115)
关键词
组播通信
混沌神经网络
LKH
非对称加密算法
multicast communication
chaotic neural network
LKH
asymmetric encryption algorithm
