While digital images are the most common expression of information on the internet, their security is of great concern, and image encryption technology is a key technology to ensure the security of images. Several kinds of image encryption and decryption methods were used to explore the encryption and decryption of optical images using MATLAB: randomly disrupting the row or column of each layer; randomly disrupting the pixel points; scaling the RGB values of pixel points; transposing, horizontal flipping and vertical flipping of RGB matrixes; and the one-dimensional and two-dimensional data reset of images. Different encryption algorithms have different image encryption effects and operating speeds. The research is to better assess this technology for beginners who are interested in image encryption and decryption technologies and to lay the foundation for these individuals to develop more advanced encryption and decryption technologies in the future. It is proved that these algorithms can be applied to image data protection.
{"title":"Encryption and Decryption of Optical Images with Different Algorithms","authors":"Jianhua Zeng, Yanlin Zhan, Jianrong Yang","doi":"10.1145/3421766.3421828","DOIUrl":"https://doi.org/10.1145/3421766.3421828","url":null,"abstract":"While digital images are the most common expression of information on the internet, their security is of great concern, and image encryption technology is a key technology to ensure the security of images. Several kinds of image encryption and decryption methods were used to explore the encryption and decryption of optical images using MATLAB: randomly disrupting the row or column of each layer; randomly disrupting the pixel points; scaling the RGB values of pixel points; transposing, horizontal flipping and vertical flipping of RGB matrixes; and the one-dimensional and two-dimensional data reset of images. Different encryption algorithms have different image encryption effects and operating speeds. The research is to better assess this technology for beginners who are interested in image encryption and decryption technologies and to lay the foundation for these individuals to develop more advanced encryption and decryption technologies in the future. It is proved that these algorithms can be applied to image data protection.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125076242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multi-resolution modeling technique is an effective method capable of solving complex system simulation. Aggregation and depolymerization is the most widely used method among multi-resolution modeling methods. The conversion delay problem is one of the leading technical difficulties faced by the aggregation-depolymerization method. The temporal variability and complexity of the simulation entities and the irrational algorithm are the main reasons for the conversion delay problem. The idea of implementing preaggregation of models to improve the aggregation and depolymerization methods is proposed. Through the method of threat early-warning assessment, multiple factors are considered to achieve preaggregation when necessary and minimize the number of aggregations.
{"title":"Research on a Model Preaggregation Method for Multi-resolution Modeling","authors":"Yaqi Wang, Qingjun Qu, Yiping Yao","doi":"10.1145/3421766.3421801","DOIUrl":"https://doi.org/10.1145/3421766.3421801","url":null,"abstract":"Multi-resolution modeling technique is an effective method capable of solving complex system simulation. Aggregation and depolymerization is the most widely used method among multi-resolution modeling methods. The conversion delay problem is one of the leading technical difficulties faced by the aggregation-depolymerization method. The temporal variability and complexity of the simulation entities and the irrational algorithm are the main reasons for the conversion delay problem. The idea of implementing preaggregation of models to improve the aggregation and depolymerization methods is proposed. Through the method of threat early-warning assessment, multiple factors are considered to achieve preaggregation when necessary and minimize the number of aggregations.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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