多级PS光学互连网络分布式隐藏信息盲检测

Blind detection method of multi level PS optical interconnection network for distributed information hiding

传统盲检测方法在对隐藏信息的检测过程中,存在检测速度慢、准确率低、误差率高等不足。提出基于多级PS光学互连网络分布式隐藏信息的盲检测方法,首先对网络信息进行预处理,并提取原始信息的二维特征向量;将提取的特征向量输入SVM分类器,基于SVM方法的进行训练和学习,实现对隐藏信息的高效盲检测。仿真实验证明,提出的隐藏信息盲检测方法具有更快的检测速度和更强的通用性、鲁棒性。

In the process of detecting hidden information, the traditional blind detection method has the disadvantages of slow detection speed, low accuracy and high error rate. A blind detection of multi PS optical interconnection network distributed information hiding method is proposed. Firstly, network information are preprocessed, two-dimen-sional feature vectors are extracted from original information, the extracted feature vector is input to SVM classifier, SVM method is used for training and learning to realize efficient blind information hiding detection. The simulation results show that the proposed blind detection method has faster detection speed and stronger generality and robustness.