基于粒子群算法的图书馆隐私信息隐藏与传输

Library privacy information hiding and transmission based on particle swarm optimization

为有效隐藏隐私信息、提高隐私信息的安全性,该研究基于粒子群算法设计了数字图书馆隐私信息隐藏与安全传输方法。首先利用粒子群算法获取最佳映射矩阵,利用该映射矩阵置换待隐藏信息,在掩体信息中嵌入置换结果,完成信息隐藏。然后通过双向寻优粒子群算法修正可用传输连接的最差位置,得到全局最佳适应度值位置,调整粒子运行方向,确定最佳信息安全传输连接路径。实验表明:该方法可以有效隐藏隐私信息,在承受攻击时,最低隐私信息保护比例约为91%,信息泄露概率较低,说明其具备较优的信息隐藏安全性。

In order to effectively hide privacy information and improve the security of privacy information,this study designs a method of privacy information hiding and secure transmission in digital library based on particle swarm optimization.Firstly,the particle swarm optimization algorithm is used to obtain the optimal mapping matrix,which is used to replace the hidden information,and the displacement results are embedded in the information to complete the information hiding.Then,the worst position of the available transmission connection is corrected by bidirectional optimization particle swarm optimization to obtain the global best fitness position,adjust the particle direction,and determine the best information security transmission connection path.Experiment results show that this method can effectively hide privacy information,the lowest privacy information protection ratio is about 91%under attack,and the probability of information leakage is low,indicating that this method has better information hiding security.