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作 者:袁芳芳[1] 李雪梅 YUAN Fangfang;LI Xuemei(Tai Yuan University,Department of computer science and technology,Taiyuan 030032,China)
机构地区:[1]太原学院,太原030032
出 处:《激光杂志》2022年第12期169-173,共5页Laser Journal
基 金:国家自然科学基金青年项目(No.61801372)。
摘 要:针对光通信网络传输时,存在的数据被窃取以及通信光网络管理信息被篡改等风险,设计了基于人工智能的光通信网络加密方案,保证光通信网络安全。该方案结合光纤信道的信号传送方式,结合Sine和Logistic映射构建基于复合离散混沌系统,生成混沌序列,将序列中随机选取数据信号,作为人工神经网络的输入矢量,对其学习后输出序列以及实现明文置乱,混淆明文形成的信号,调整信号位置,通过分段异扩散技术调整信号值,输出置乱数据信息;利用生成的量化机制得出密钥流,完成信号加密,获取加密密文。测试结果表明:该方案混沌性较好,平均变化强度0.9以上,在不同频率的攻击下,抗攻击性能良好,具备较好的加密效果,能够保证加密后网络的安全性。at the risks of data theft and communication optical network management information tampering during optical communication network transmission,an optical communication network encryption scheme based on artificial intelligence is designed to ensure the security of optical communication network.Combined with the signal transmission mode of optical fiber channel and sine and logistic mapping,this scheme constructs a composite discrete chaotic system based on complex discrete chaotic system,generates chaotic sequence,randomly selects data signals in the sequence as the input vector of artificial neural network,scrambles the learned output sequence and plaintext,confuses the signals formed by plaintext,and adjusts the signal position,Adjusting the signal value through segmented differential diffusion technology to output scrambling data information;The generated quantization mechanism is used to obtain the key stream,complete the signal encryption and obtain the encrypted ciphertext.The test results show that the scheme has good chaos,with an average change intensity of more than 0.9.Under attacks of different frequencies,it has good anti attack performance,has good encryption effect,and can ensure the security of the encrypted network.
关 键 词:神经网络 光通信网络 加密方案 混沌序列 置乱数据信息 量化机制
分 类 号:TN929.11[电子电信—通信与信息系统]
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