Smart Aided Device for Human Safety Using IoT

G. P. P. S. M. S. Abdulraheem M., Abinav Batsha K., Logeswaran M.
{"title":"Smart Aided Device for Human Safety Using IoT","authors":"G. P. P. S. M. S. Abdulraheem M., Abinav Batsha K., Logeswaran M.","doi":"10.52783/cienceng.v11i1.342","DOIUrl":null,"url":null,"abstract":"The safety of people is a increasing Emergency in India and other countries. The primary issue in the handling of these cases by the police lies in constraints preventing them from responding quickly to calls of distress. To aid in the removal of these distress, this paper introduces the position sensor, panic button and GSM, it conveys the message containing the person is in emergency as an alert message. One of the aim of this work is for safety purpose of people.People safety has always been an issue even in these modern times with so much advancement in technology. People are not safe anywhere and are most vulnerable when traveling alone into lonely roads and deserted places. Existing hand held safety devices for people require human intervention for activating the device such as pressing the button or shake the device etc. after sensing the danger. We propose a solution which will try to overcome the disadvantages of the existing systems and also aim at providing false proof safety to people. The proposed work aims at designing a safety device that relies on providing security to people by the method of connectivity to the device and alerting nearby people and police when a people is not safe. Moreover, for first-hand safety, shockwave generator is also designed that people can use to attack the perpetrator. \nSemantic social engineering attacks are a pervasive threat to computer and communication systems. By employing deception rather than by exploiting technical vulnerabilities, spear-phishing, obfuscated, drive-by downloads, scare ware, and+ other attacks are able to circumvent traditional technical security controls and target the user directly. Our aim is to explore the feasibility of predicting user susceptibility to deception-based attacks through attributes that can be measured, preferably in real-time and in an automated manner. Toward this goal, we have conducted two experiments, the first on users recruited on the Internet, allowing us to identify useful high-level features through association rule mining, and the second on a smaller group of users, allowing us to study these features in more detail. In both experiments, participants were presented with attack and non-attack exhibits and were tested in terms of their ability to distinguish between the two. Using the data collected, we have determined practical predictors of users’ susceptibility against semantic attacks to produce and evaluate a logistic regression and a random forest prediction model, with the accuracy respectively. We have observed that security training makes a noticeable difference in a user’s ability to detect deception attempts, with one of the most important features being the time since last self-study, while formal security education through lectures appears to be much less useful as a predictor. Other important features were computer literacy, familiarity, and frequency of access to a specific platform. Depending on an organization’s preferences, the models learned can be configured to minimize false positive or false negatives or maximize accuracy, based on a probability threshold. \nIn today’s world, the major question in every girl’s mind is about her security and safety. A few years back, a woman has to go for the convivial system (social media) to protest and warn about sexual harassment faced their self? A report shows that 51% have to experience sexual harassment unwillingly. The percentage turned to 66%, 38% and 35% for the public places, workplace and at their home respectively. At first, the cases handling by the police are a major issue but there have some botheration’s like not knowing the victim’s exact emergency, not knowing surely the crime occurred at all, and then lack evidence, police stops investigation. \nNowadays, personal safety has become a significant problem for everyone, but especially for people. Here we introduce a system which makes sure the people protection. The device can be easily carried and could be taken whenever they sense the danger. The project idea is to provide a swift responding and reporting safety device for people. The application helps people to overcome with fear and can call to her guardian that he/she can take the help. It reports a situation just by pressing button on the smart band. Our project resembles a smart band; it has the capability to protect the people, with the various sensors integrated within the band. When he/she wearing the band or a watch, if he/she face any Kind of harassment or if he/she feel something happened to be endanger he/she can press the button located on the watch, when he/she fall in down, the various information such as emergency, body posture, pulse rate and SMS alert are sent to the predefined number by using the GSM. This will help to reduce the crime against the people. \nObjective \nTo safe and secure the people we develop this project that can act as a rescue device and protect at the time of danger. To provide a reliable security system for a people when they are feel unsafe. This device consists of a system that ensures dual alerts in case a people is harassed or he/she thinks he/she is in trouble.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding International Conference on Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52783/cienceng.v11i1.342","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 safety of people is a increasing Emergency in India and other countries. The primary issue in the handling of these cases by the police lies in constraints preventing them from responding quickly to calls of distress. To aid in the removal of these distress, this paper introduces the position sensor, panic button and GSM, it conveys the message containing the person is in emergency as an alert message. One of the aim of this work is for safety purpose of people.People safety has always been an issue even in these modern times with so much advancement in technology. People are not safe anywhere and are most vulnerable when traveling alone into lonely roads and deserted places. Existing hand held safety devices for people require human intervention for activating the device such as pressing the button or shake the device etc. after sensing the danger. We propose a solution which will try to overcome the disadvantages of the existing systems and also aim at providing false proof safety to people. The proposed work aims at designing a safety device that relies on providing security to people by the method of connectivity to the device and alerting nearby people and police when a people is not safe. Moreover, for first-hand safety, shockwave generator is also designed that people can use to attack the perpetrator. Semantic social engineering attacks are a pervasive threat to computer and communication systems. By employing deception rather than by exploiting technical vulnerabilities, spear-phishing, obfuscated, drive-by downloads, scare ware, and+ other attacks are able to circumvent traditional technical security controls and target the user directly. Our aim is to explore the feasibility of predicting user susceptibility to deception-based attacks through attributes that can be measured, preferably in real-time and in an automated manner. Toward this goal, we have conducted two experiments, the first on users recruited on the Internet, allowing us to identify useful high-level features through association rule mining, and the second on a smaller group of users, allowing us to study these features in more detail. In both experiments, participants were presented with attack and non-attack exhibits and were tested in terms of their ability to distinguish between the two. Using the data collected, we have determined practical predictors of users’ susceptibility against semantic attacks to produce and evaluate a logistic regression and a random forest prediction model, with the accuracy respectively. We have observed that security training makes a noticeable difference in a user’s ability to detect deception attempts, with one of the most important features being the time since last self-study, while formal security education through lectures appears to be much less useful as a predictor. Other important features were computer literacy, familiarity, and frequency of access to a specific platform. Depending on an organization’s preferences, the models learned can be configured to minimize false positive or false negatives or maximize accuracy, based on a probability threshold. In today’s world, the major question in every girl’s mind is about her security and safety. A few years back, a woman has to go for the convivial system (social media) to protest and warn about sexual harassment faced their self? A report shows that 51% have to experience sexual harassment unwillingly. The percentage turned to 66%, 38% and 35% for the public places, workplace and at their home respectively. At first, the cases handling by the police are a major issue but there have some botheration’s like not knowing the victim’s exact emergency, not knowing surely the crime occurred at all, and then lack evidence, police stops investigation. Nowadays, personal safety has become a significant problem for everyone, but especially for people. Here we introduce a system which makes sure the people protection. The device can be easily carried and could be taken whenever they sense the danger. The project idea is to provide a swift responding and reporting safety device for people. The application helps people to overcome with fear and can call to her guardian that he/she can take the help. It reports a situation just by pressing button on the smart band. Our project resembles a smart band; it has the capability to protect the people, with the various sensors integrated within the band. When he/she wearing the band or a watch, if he/she face any Kind of harassment or if he/she feel something happened to be endanger he/she can press the button located on the watch, when he/she fall in down, the various information such as emergency, body posture, pulse rate and SMS alert are sent to the predefined number by using the GSM. This will help to reduce the crime against the people. Objective To safe and secure the people we develop this project that can act as a rescue device and protect at the time of danger. To provide a reliable security system for a people when they are feel unsafe. This device consists of a system that ensures dual alerts in case a people is harassed or he/she thinks he/she is in trouble.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用物联网的人类安全智能辅助设备
在印度和其他国家,人们的安全日益成为一个紧急问题。警方在处理这些案件时的主要问题是受到种种限制,无法迅速对遇险电话作出反应。为了帮助人们消除这些困境,本文引入了位置传感器、紧急按钮和GSM,它以报警的方式传递包含人处于紧急情况的信息。这项工作的目的之一是为了人们的安全。即使在科技如此发达的现代,人们的安全一直是一个问题。人们在任何地方都不安全,在孤独的道路和荒凉的地方独自旅行时最容易受到伤害。现有的手持式安全装置在感知到危险后,需要人为干预才能激活装置,如按下按钮或摇动装置等。我们提出了一种解决方案,它将试图克服现有系统的缺点,并旨在为人们提供虚假证明安全。拟议的工作旨在设计一种安全设备,通过连接设备的方法为人们提供安全保障,并在人们不安全时向附近的人和警察发出警报。此外,为了第一手的安全,还设计了冲击波发生器,人们可以使用它来攻击犯罪者。语义社会工程攻击是对计算机和通信系统的普遍威胁。通过欺骗而不是利用技术漏洞,鱼叉式网络钓鱼、混淆、驾车下载、恐吓软件和其他攻击能够绕过传统的技术安全控制并直接针对用户。我们的目标是探索通过可测量的属性来预测用户对基于欺骗的攻击的易感性的可行性,最好是实时和自动化的方式。为了实现这个目标,我们进行了两个实验,第一个是在互联网上招募的用户,允许我们通过关联规则挖掘来识别有用的高级特征,第二个是在一个较小的用户组上,允许我们更详细地研究这些特征。在这两个实验中,参与者都看到了攻击性和非攻击性的展品,并测试了他们区分这两种展品的能力。利用收集到的数据,我们确定了用户对语义攻击的敏感性的实际预测因子,并分别生成和评估了逻辑回归和随机森林预测模型,其精度分别为。我们观察到,安全培训对用户检测欺骗企图的能力有明显的影响,其中最重要的特征之一是自上次自学以来的时间,而通过讲座进行的正式安全教育作为预测因素似乎不那么有用。其他重要的特征是计算机知识、熟悉程度和访问特定平台的频率。根据组织的偏好,可以将学习到的模型配置为最小化假阳性或假阴性,或者基于概率阈值最大化准确性。在当今世界,每个女孩心中的主要问题都是关于她的安全和安全。几年前,一个女人必须去娱乐系统(社交媒体)抗议和警告自己面临的性骚扰?一份报告显示,51%的女性不得不不情愿地经历性骚扰。在公共场所、工作场所和家中,这一比例分别为66%、38%和35%。起初,警察处理案件是一个大问题,但也有一些麻烦,如不知道受害者的确切紧急情况,不确定犯罪发生,然后缺乏证据,警察停止调查。如今,人身安全已经成为每个人的重要问题,尤其是对人来说。在这里,我们介绍一个系统,以确保人民的保护。这种装置可以很容易地携带,当他们感觉到危险时就可以拿走。该项目的理念是为人们提供一个快速响应和报告的安全装置。该应用程序帮助人们克服恐惧,并可以打电话给她的监护人,他/她可以接受帮助。只要按下智能手环上的按钮,它就会报告一个情况。我们的项目就像一个智能手环;它具有保护人民的能力,在波段内集成了各种传感器。当他/她佩戴手环或手表时,如果他/她面临任何形式的骚扰或如果他/她感到发生了危险,他/她可以按下手表上的按钮,当他/她摔倒时,紧急情况,身体姿势,脉搏率和短信警报等各种信息通过GSM发送到预定义的号码。这将有助于减少危害人民的犯罪。为了确保人们的安全,我们开发了这个项目,它可以作为一个救援装置,在危险的时候保护人们。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Impact of Cloud-Based HR Systems on Business Performance Metrics Use of Gesture Recognition for Differently Abled Persons Study on Lead Iodide-Polyvinyl Alcohol Polymer Composites as an X-ray Shielding Material A Novel Heterogenous Dominant Sequence Clustering for Task Scheduling and Optimal Load Balancing Using JSO in Cloud Motivational Theories and Their Relevance in Military Motivation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1