{"title":"密码学中元胞自动机的演化集体行为","authors":"M. Szaban, F. Seredyński, P. Bouvry","doi":"10.1109/MELCON.2006.1653219","DOIUrl":null,"url":null,"abstract":"We consider 1D cellular automata (CA) and apply genetic algorithm (GA) to discover subsets of rules controlling CA cells, which collective behavior results in a high quality of pseudorandom number sequences (PNSs) suitable for symmetric key cryptography. The search of subsets of rules is performed in a set of predefined rules. We discover new subsets of CA rules providing very high quality of PNSs, which can be used in cryptographic modules","PeriodicalId":299928,"journal":{"name":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Evolving collective behavior of cellular automata for cryptography\",\"authors\":\"M. Szaban, F. Seredyński, P. Bouvry\",\"doi\":\"10.1109/MELCON.2006.1653219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider 1D cellular automata (CA) and apply genetic algorithm (GA) to discover subsets of rules controlling CA cells, which collective behavior results in a high quality of pseudorandom number sequences (PNSs) suitable for symmetric key cryptography. The search of subsets of rules is performed in a set of predefined rules. We discover new subsets of CA rules providing very high quality of PNSs, which can be used in cryptographic modules\",\"PeriodicalId\":299928,\"journal\":{\"name\":\"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.2006.1653219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2006.1653219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolving collective behavior of cellular automata for cryptography
We consider 1D cellular automata (CA) and apply genetic algorithm (GA) to discover subsets of rules controlling CA cells, which collective behavior results in a high quality of pseudorandom number sequences (PNSs) suitable for symmetric key cryptography. The search of subsets of rules is performed in a set of predefined rules. We discover new subsets of CA rules providing very high quality of PNSs, which can be used in cryptographic modules