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A novel encryption algorithm for unstructured big data in wireless communication network

机译:一种新型无线通信网络非结构化大数据的新型加密算法

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摘要

In order to improve the confidentiality and security of transmission through data encryption, a novel encryption algorithm for unstructured big data in wireless communication network is proposed. In this algorithm, an encryption scheme of homomorphic public key is adopted to establish encryption key of unstructured big data, and an elliptic curve homomorphic encryption scheme is also adopted to design public key random number; the integral multiple bit length is adaptively adjusted to fixed-numbered public keys at different block lengths, and the random sampling method is adopted to extract features of encryption bit sequence, on which cyclic shift encryption is performed; encryption key and decryption key are established, and information entropy is adopted as a key sensitivity parameter concerning big data encryption to perform source coding to realise code element frequency detection of encryption output of unstructured big data, on which key padding is performed to optimise data encryption. Simulation results show that in unstructured big data encryption in wireless communication network, the proposed method can provide good confidentiality and steganography and relatively strong anti-attack capability.
机译:为了通过数据加密改进传输的机密性和安全性,提出了一种用于无线通信网络中的非结构化大数据的新型加密算法。在该算法中,采用具有同态公钥的加密方案来建立非结构化大数据的加密密钥,并且还采用了椭圆曲线同性恋加密方案来设计公钥随机数;积分多个比特长度被自适应地调整到不同块长度的固定编号的公钥,并且采用随机采样方法提取加密比特序列的特征,在此执行循环移位加密;建立加密密钥和解密密钥,并且采用信息熵作为关于大数据加密的密钥灵敏度参数,以执行源码编码,以实现非结构化大数据的加密输出的码元频率检测,在该键盘上执行键填充以优化数据加密。仿真结果表明,在无线通信网络中的非结构化大数据加密中,所提出的方法可以提供良好的机密性和隐写术和相对强的防攻击能力。

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