{"title":"双目标s盒的有效进化策略","authors":"Hua Chen, D. Feng","doi":"10.1109/CEC.2004.1331158","DOIUrl":null,"url":null,"abstract":"Being as unique nonlinear components of block ciphers, S-boxes control the security of the cryptographic algorithms. The design of S-boxes with genetic algorithms is a recent research focus. For the popular bijective S-boxes, an effective evolutionary strategy is given in this paper, including fitness function, breeding strategy and hill climbing algorithm. Under this strategy, an effective genetic algorithm for 8 /spl times/ 8 bijective S-boxes is provided and a large number of S-boxes with high nonlinearity and low difference uniformity can be obtained.","PeriodicalId":152088,"journal":{"name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"An effective evolutionary strategy for bijective S-boxes\",\"authors\":\"Hua Chen, D. Feng\",\"doi\":\"10.1109/CEC.2004.1331158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Being as unique nonlinear components of block ciphers, S-boxes control the security of the cryptographic algorithms. The design of S-boxes with genetic algorithms is a recent research focus. For the popular bijective S-boxes, an effective evolutionary strategy is given in this paper, including fitness function, breeding strategy and hill climbing algorithm. Under this strategy, an effective genetic algorithm for 8 /spl times/ 8 bijective S-boxes is provided and a large number of S-boxes with high nonlinearity and low difference uniformity can be obtained.\",\"PeriodicalId\":152088,\"journal\":{\"name\":\"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2004.1331158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2004.1331158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An effective evolutionary strategy for bijective S-boxes
Being as unique nonlinear components of block ciphers, S-boxes control the security of the cryptographic algorithms. The design of S-boxes with genetic algorithms is a recent research focus. For the popular bijective S-boxes, an effective evolutionary strategy is given in this paper, including fitness function, breeding strategy and hill climbing algorithm. Under this strategy, an effective genetic algorithm for 8 /spl times/ 8 bijective S-boxes is provided and a large number of S-boxes with high nonlinearity and low difference uniformity can be obtained.