434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Cases on Information Technology Pub Date : 2021-04-01 DOI:10.4018/JCIT.20210401.OA3

S. JebaKumarR.J., J. RoopaJayasingh

{"title":"434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies","authors":"S. JebaKumarR.J., J. RoopaJayasingh","doi":"10.4018/JCIT.20210401.OA3","DOIUrl":null,"url":null,"abstract":"Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device monitoring system. The prime benefit of the proposed CVT-AIML-IoT system is that it utilizes cloud internet of things (IoT) technology and active radio frequency identification over global positioning system (GPS), which is prone to attackers due to self-defenseless network architecture. The sliding side of GPS is observed; when the GPS module is switched-off, it can be hidden without any authorization. Hence, an uninterrupted observing secured system like CVT-AIML-IoT is a promising solution with dynamic vehicular PIN generation by AI-ML concept. CVT-AIML-IoT grids the traceable area based on the topographical dependency. Detection range gateway coupled with IoT transceiver module captures data from each tracking zone to the cloud for monitoring over Web UI support and mapped with time stamp. Hence, CVT-AIML-IoT assures vehicular monitoring in a lucrative approach.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":"23 1","pages":"26-38"},"PeriodicalIF":0.7000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cases on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/JCIT.20210401.OA3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 1

Abstract

Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device monitoring system. The prime benefit of the proposed CVT-AIML-IoT system is that it utilizes cloud internet of things (IoT) technology and active radio frequency identification over global positioning system (GPS), which is prone to attackers due to self-defenseless network architecture. The sliding side of GPS is observed; when the GPS module is switched-off, it can be hidden without any authorization. Hence, an uninterrupted observing secured system like CVT-AIML-IoT is a promising solution with dynamic vehicular PIN generation by AI-ML concept. CVT-AIML-IoT grids the traceable area based on the topographical dependency. Detection range gateway coupled with IoT transceiver module captures data from each tracking zone to the cloud for monitoring over Web UI support and mapped with time stamp. Hence, CVT-AIML-IoT assures vehicular monitoring in a lucrative approach.

查看原文本刊更多论文

基于AI-ML-IoT技术的434 MHz车载网络环境安全监测方案

在环境安全的434 MHz无线电频率、人工智能、机器学习和物联网技术(CVT-AIML-IoT)下运行的联网车辆跟踪方案是一种经济高效且安全的跟踪或设备监控系统。CVT-AIML-IoT系统的主要优点是它利用了云物联网(IoT)技术和全球定位系统(GPS)上的主动射频识别，由于缺乏自我防御的网络架构，GPS容易受到攻击者的攻击。观测GPS的滑动面;当GPS模块关闭时，无需任何授权即可隐藏。因此，像CVT-AIML-IoT这样的不间断观察安全系统是一个很有前途的解决方案，通过AI-ML概念动态生成车辆PIN。CVT-AIML-IoT基于地形依赖性对可追踪区域进行网格化。检测范围网关与物联网收发器模块相结合，从每个跟踪区域捕获数据到云，通过Web UI支持进行监控，并映射时间戳。因此，CVT-AIML-IoT以一种有利可图的方式确保了车辆监控。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Cases on Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： JCIT documents comprehensive, real-life cases based on individual, organizational and societal experiences related to the utilization and management of information technology. Cases published in JCIT deal with a wide variety of organizations such as businesses, government organizations, educational institutions, libraries, non-profit organizations. Additionally, cases published in JCIT report not only successful utilization of IT applications, but also failures and mismanagement of IT resources and applications.