{"title":"An Improved Integrated Solution for Novel Home Security System with various Force Points using BYOD","authors":"A. Aslesha, A. Sivanesh Kumar","doi":"10.1109/ICOSEC54921.2022.9951959","DOIUrl":null,"url":null,"abstract":"The foremost aim of the research work is to improve the integrated solution for home security systems using Bring Your Own Device (BYOD), and here Raspberry pi acts as BYOD with the Internet of Things (IoT). In this work, two groups are considered: BYOD as Raspberry pi, and Arduino device. For each device, N=10 is taken from the dataset to perform both iterations on each device value. The SPSS statistical tool reveals that there is a statistical significance between the BYOD and Arduino (P< 0.005). The improved and integrated security system can detect using BYOD (Raspberry pi) with the accuracy of 93.4% and Arduino with an accuracy of 89.7%, which shows that the Raspberry pi is better than Arduino.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSEC54921.2022.9951959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The foremost aim of the research work is to improve the integrated solution for home security systems using Bring Your Own Device (BYOD), and here Raspberry pi acts as BYOD with the Internet of Things (IoT). In this work, two groups are considered: BYOD as Raspberry pi, and Arduino device. For each device, N=10 is taken from the dataset to perform both iterations on each device value. The SPSS statistical tool reveals that there is a statistical significance between the BYOD and Arduino (P< 0.005). The improved and integrated security system can detect using BYOD (Raspberry pi) with the accuracy of 93.4% and Arduino with an accuracy of 89.7%, which shows that the Raspberry pi is better than Arduino.