{"title":"User Identification Algorithm based-on Devices Recognition","authors":"Z. Houhamdi, B. Athamena","doi":"10.1109/ACIT47987.2019.8991122","DOIUrl":null,"url":null,"abstract":"This paper overviews briefly IoT by reviewing the literature and describes a real scenario use case to perceive the requirements and challenges related to user identification. Thus, an automated, easy, and secure Device Recognition (DR) algorithm is suggested to address the user identification problem. A coefficient representing the device identification rate is used for assessing the DR algorithm. A literature review of identification techniques was conducted to identify the research challenges. Then, the paper introduces a new identifier format to address identity management concerning device type, mobility and system scalability.The present paper addresses user identification problems and proposes a new Single Thing Sign-On Identity Management System that focuses on user services. The suggested framework allows user identification and authorized services access by identifying only one of the user’s things (devices, actuators, sensors, etc.).","PeriodicalId":314091,"journal":{"name":"2019 International Arab Conference on Information Technology (ACIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT47987.2019.8991122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper overviews briefly IoT by reviewing the literature and describes a real scenario use case to perceive the requirements and challenges related to user identification. Thus, an automated, easy, and secure Device Recognition (DR) algorithm is suggested to address the user identification problem. A coefficient representing the device identification rate is used for assessing the DR algorithm. A literature review of identification techniques was conducted to identify the research challenges. Then, the paper introduces a new identifier format to address identity management concerning device type, mobility and system scalability.The present paper addresses user identification problems and proposes a new Single Thing Sign-On Identity Management System that focuses on user services. The suggested framework allows user identification and authorized services access by identifying only one of the user’s things (devices, actuators, sensors, etc.).