摘要
先设定Huffman单项重组加密结构,得到多目标细粒度加密节点布设.其次,设计滑动同态混合加密模型,并编制衍生网络通信加密指令.最后,采用重叠深度学习算法实现网络通信数据混合加密.结果表明,本文方法在实际应用中产生的加密差异值较少,数据在混合加密过程中稳定性更高.
Firstly, the Huffman single reorganization encryption structure is set to obtain the layout of multi-objective fine-grained encryption nodes.Secondly, the sliding homomorphic hybrid encryption model is designed, and the derived network communication encryption instructions are compiled.Finally, the overlapping depth learning algorithm is used to realize the hybrid encryption of network communication data.The results show that the encryption difference value generated by this method is less in practical application, and the data is more stable in the process of hybrid encryption.
作者
黄广顺
HUANG Guangshun(School of Copmuter Science,Huainan Normal University,Huainan,Anhui 232038)
出处
《宁夏师范学院学报》
2022年第10期52-58,共7页
Journal of Ningxia Normal University
基金
省级重大教学改革研究项目(2020zdxsjg321)
校级自然科学类研究项目(2020XJZD006).
关键词
改进MD5算法
网络通信
数据混合加密
加密处理
通信数据
Improve MD5 algorithm
Telecommunication
Data hybrid encryption
Encryption processing
Communication data