{"title":"CRYSEED: An automatic 8-bit cryptographic algorithm developed with genetic programming","authors":"R. Semente, A. Salazar, F. Oliveira","doi":"10.1109/I2MTC.2014.6860905","DOIUrl":null,"url":null,"abstract":"In this paper a cryptographic algorithm optimized for wireless sensor networks is proposed and developed automatically using the technique of genetic programming. The proposed algorithm, CRYSEED, was developed considering the safety and computational efficiency, important to keep the algorithm fast, thus consuming less energy and increasing the autonomy of embedded networking devices. In genetic programming were used in the fitness function the metrics maximum deviation, irregular deviation and algorithm running time, to find a safe and fast algorithm. CRYSEED algorithm was compared with the AES, showing better performance in all aspects tested.","PeriodicalId":331484,"journal":{"name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2014.6860905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper a cryptographic algorithm optimized for wireless sensor networks is proposed and developed automatically using the technique of genetic programming. The proposed algorithm, CRYSEED, was developed considering the safety and computational efficiency, important to keep the algorithm fast, thus consuming less energy and increasing the autonomy of embedded networking devices. In genetic programming were used in the fitness function the metrics maximum deviation, irregular deviation and algorithm running time, to find a safe and fast algorithm. CRYSEED algorithm was compared with the AES, showing better performance in all aspects tested.