Liliana Ibeth Barbosa Santillán, J. J. Escobar, Claudia Rosa Maria Munoz Cano
{"title":"OntoDeviceTrust:基于本体的移动设备用户与应用程序生产者之间信任的表示模型","authors":"Liliana Ibeth Barbosa Santillán, J. J. Escobar, Claudia Rosa Maria Munoz Cano","doi":"10.1109/CERMA.2010.10","DOIUrl":null,"url":null,"abstract":"The number of users of mobile devices has increased enormously over the past five years. Along with this, the public concern about how to make sure personal information remains private and safe has also grown, and it has become a high priority standard for mobile device producers to fulfill. Programming languages, by themselves, offer a limited safely, unfortunately. A common example is the use of credit cards, where the credit limit can never be exceed since the programming language cannot guarantee. The authors identify the need to structure the knowledge involved during the process of mobile devices safety development as a crucial step to guarantee trust between users and producers. The proposal project consists on creating a representative model between users and mobile device producers called Onto Device Trust. This model is based on ontologies where knowledge and information are structured on classes and concepts. The ontologies involved in this representative model are: Languages, Tools, Safeties, Industries, Smart Cards, Mobile Devices, Applications, Certificates, Evaluations, Clients, Analyzers and Testers. The evaluation of the ontology content in the Onto Device Trust model is carried out through a technical judgment of the ontology and its associated conceptualization.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"26 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OntoDeviceTrust: A Representation Model of Trust between the Users of Mobile Devices and the Producers of Applications Based on Ontologies\",\"authors\":\"Liliana Ibeth Barbosa Santillán, J. J. Escobar, Claudia Rosa Maria Munoz Cano\",\"doi\":\"10.1109/CERMA.2010.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The number of users of mobile devices has increased enormously over the past five years. Along with this, the public concern about how to make sure personal information remains private and safe has also grown, and it has become a high priority standard for mobile device producers to fulfill. Programming languages, by themselves, offer a limited safely, unfortunately. A common example is the use of credit cards, where the credit limit can never be exceed since the programming language cannot guarantee. The authors identify the need to structure the knowledge involved during the process of mobile devices safety development as a crucial step to guarantee trust between users and producers. The proposal project consists on creating a representative model between users and mobile device producers called Onto Device Trust. This model is based on ontologies where knowledge and information are structured on classes and concepts. The ontologies involved in this representative model are: Languages, Tools, Safeties, Industries, Smart Cards, Mobile Devices, Applications, Certificates, Evaluations, Clients, Analyzers and Testers. The evaluation of the ontology content in the Onto Device Trust model is carried out through a technical judgment of the ontology and its associated conceptualization.\",\"PeriodicalId\":119218,\"journal\":{\"name\":\"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference\",\"volume\":\"26 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2010.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2010.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OntoDeviceTrust: A Representation Model of Trust between the Users of Mobile Devices and the Producers of Applications Based on Ontologies
The number of users of mobile devices has increased enormously over the past five years. Along with this, the public concern about how to make sure personal information remains private and safe has also grown, and it has become a high priority standard for mobile device producers to fulfill. Programming languages, by themselves, offer a limited safely, unfortunately. A common example is the use of credit cards, where the credit limit can never be exceed since the programming language cannot guarantee. The authors identify the need to structure the knowledge involved during the process of mobile devices safety development as a crucial step to guarantee trust between users and producers. The proposal project consists on creating a representative model between users and mobile device producers called Onto Device Trust. This model is based on ontologies where knowledge and information are structured on classes and concepts. The ontologies involved in this representative model are: Languages, Tools, Safeties, Industries, Smart Cards, Mobile Devices, Applications, Certificates, Evaluations, Clients, Analyzers and Testers. The evaluation of the ontology content in the Onto Device Trust model is carried out through a technical judgment of the ontology and its associated conceptualization.