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多维动态网络的密钥认证数学建模与仿真

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多维动态网络在密钥认证过程中,若加密的密钥安全程度较低,则会被量子计算机解码,使传输的隐私数据出现泄露.为有效提升密钥的安全认证效果,提出量子攻击下多维动态网络密钥认证数学建模方法.方法建立用于多维动态网络的密钥认证模型,在建立的认证模型中,对网络中待传输数据实施冗余清洗,并使用高级加密标准(Advanced Encryption Standard,AES)算法生成密钥对待传输数据初次加密;添加一串噪声数据在加密数据中,并对其二次加密,进一步提升数据的抗量子攻击性能,建立多维动态网络的安全密钥传输模型,完成密钥的安全传输.根据解密方法结合密钥对数据安全解密,完成多维动态网络密钥的安全认证.实验结果表明,利用上述方法开展网络密钥认证时,加解密时间短,认证准确率在85%以上,且抗量子攻击能力强.
Mathematical Modeling and Simulation of Key Authentication in a Multi-Dimensional Dynamic Network
In multi-dimensional dynamic networks,if the security level is low,the encrypted keys will be decoded by quantum computers,leading to the leakage of private data.In order to effectively improve the security au-thentication of keys,this article proposed a mathematical modeling method for key authentication in multi-dimensional dynamic networks under quantum attacks.Firstly,the method constructed a key authentication model for multi-di-mensional dynamic networks.On this basis,the redundant data to be transmitted in the network were cleaned.Mean-while,the AES(Advanced Encryption Standard)algorithm was adopted to generate keys for the first encryption of the data to be transmitted.Then,a string of noise data was added to the encrypted data for secondary encryption,thus fur-ther enhancing the resistance to quantum attacks.Moreover,a model for a multi-dimensional dynamic network was built to complete the secure transmission of keys.Finally,the decryption method was combined with the key for data security decryption.Thus,the security authentication of the multi-dimensional dynamic network key was achieved.Experimental results show that this method has shorter encryption and decryption time,and the authentication accuracy rate is more than 85%.In addition,the resistance to quantum attacks is strong.

Quantum attackMulti-dimensional dynamic networkKey authenticationMathematical modelAES algorithm

顾银鲁、解海燕、钟小莉

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银川能源学院,宁夏 银川 750001

青海民族大学计算机学院,青海 西宁 810007

量子攻击 多维动态网络 密钥认证 数学模型

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(4)
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