Smart Aided Device for Human Safety Using IoT
Authors: Abdulraheem M., Abinav Batsha K., Logeswaran M. G. Purushothaman, P. Sudha, M. Sangeetha, 
Published: June 2023

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.