{"title":"一个简单易懂的伪随机数生成器和特定的安全模型指南","authors":"Elena Almaraz Luengo","doi":"10.1214/22-ss136","DOIUrl":null,"url":null,"abstract":": The generation of random sequences is the basis of simulation and can be used in many different areas such as Statistics, Computer Science, Systems Management and Control, Biology, Particle Physics, Cryp- tography or Cyber-Security, among others. It is crucial that the numbers generated were random or at least, behave as such. The fundamental sta- tistical properties required for such sequences are randomness and independence and, from a cryptographic perspective, unpredictability. There is a variety of methods to generate these sequences. The main ones are physical and arithmetic methods. In this work, a detailed study of the main arith- metic methods is carried out. On the other hand, the necessity of secure sequence generation will be analyzed and new lines of ongoing research fo- cusing applications in Internet of Things and new generator designs will be described.","PeriodicalId":46627,"journal":{"name":"Statistics Surveys","volume":null,"pages":null},"PeriodicalIF":11.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A brief and understandable guide to pseudo-random number generators and specific models for security\",\"authors\":\"Elena Almaraz Luengo\",\"doi\":\"10.1214/22-ss136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The generation of random sequences is the basis of simulation and can be used in many different areas such as Statistics, Computer Science, Systems Management and Control, Biology, Particle Physics, Cryp- tography or Cyber-Security, among others. It is crucial that the numbers generated were random or at least, behave as such. The fundamental sta- tistical properties required for such sequences are randomness and independence and, from a cryptographic perspective, unpredictability. There is a variety of methods to generate these sequences. The main ones are physical and arithmetic methods. In this work, a detailed study of the main arith- metic methods is carried out. On the other hand, the necessity of secure sequence generation will be analyzed and new lines of ongoing research fo- cusing applications in Internet of Things and new generator designs will be described.\",\"PeriodicalId\":46627,\"journal\":{\"name\":\"Statistics Surveys\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistics Surveys\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1214/22-ss136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics Surveys","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1214/22-ss136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
A brief and understandable guide to pseudo-random number generators and specific models for security
: The generation of random sequences is the basis of simulation and can be used in many different areas such as Statistics, Computer Science, Systems Management and Control, Biology, Particle Physics, Cryp- tography or Cyber-Security, among others. It is crucial that the numbers generated were random or at least, behave as such. The fundamental sta- tistical properties required for such sequences are randomness and independence and, from a cryptographic perspective, unpredictability. There is a variety of methods to generate these sequences. The main ones are physical and arithmetic methods. In this work, a detailed study of the main arith- metic methods is carried out. On the other hand, the necessity of secure sequence generation will be analyzed and new lines of ongoing research fo- cusing applications in Internet of Things and new generator designs will be described.
期刊介绍:
Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.