| Fake commodities are a serious social and economic problem affectingpeople’s normal life and even affect the relationship between countries.Anti-counterfeiting technology is an important means to restrain fake and inferior products effectively.Along with the development of the cloud,for the convenience of data storage and access,currently,more and more data stored in the cloud,but the third party of the cloud is not absolutely safe,in recent years many cloud service providers and web companies have repeatedly data leaked the news reports,so the data stored by the cloud to improve security.Aiming at the above two points,in order to improve the security,this paper studies the security label of the authenticity of the encryption in the cloud,and can automatically identify the encrypted labels.An automatic identification algorithm based on transform domain is proposed.The main research of this paper is:(1)Combining the authenticity image with the Logistic encryption method to further improve the security and reliability of the anti-counterfeiting method;(2)Three methods for extracting feature extraction of encrypted images are mainly studied:based on,three automatic identification algorithms based on transform domain are proposed.(3)The robustness,rapidness(operation time)and other indicators of the automatic algorithm of three encryption anti-counterfeiting labels are verified by simulation experiments.In the end,the direction of automatic identification algorithm for encryption security label is summarized. |