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ANDROID & FIREBASE BASED ANTI THEFT MOBILE APPLICATION

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 10 Issue: 05 | May 2023

p-ISSN: 2395-0072

www.irjet.net

ANDROID & FIREBASE BASED ANTI THEFT MOBILE APPLICATION Vedang Nikure1, Pranay Ikhar2, Vaibhav Kharalkar3, Jayant manapure4, Sweta Choudhari5, Harshad Kubade6 1 Assistant Professor, Department of Information Technology, Priyadarshini College Of Engineering, Nagpur,

Maharashtra, India.

2 UG Students, Department of Information Technology, Priyadarshini College Of Engineering, Nagpur,

Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - This initiative uses various GPS locations to

perimeter defence strategy's joint efforts are becoming less and less effective. Malware that is constantly changing appears to always find methods to completely avoid the perimeter defence. We provide a detailed description of the most frequent exploitations at the hardware, software, and network levels of the current information system. The advantages and disadvantages of the most prevalent defence strategies employed in these levels are then covered

locate stolen or lost phones. After installation, the program will run in the background. The unique user id and password, SIM number, backup phone number, email address, WhatsApp number, and present location of the phone are all stored in this application. When a phone is lost or stolen, the user receives images taken by the front camera, a GPS location on a different phone number, and an email address. With the help of this information, we can quickly identify the phone and the person who has stolen it using the intruder selfie feature in the app. Key Words: Mobile theft catcher, firebase, alert system, android application, smart notification.

1.INTRODUCTION On smartphones, sensitive info is stored in large quantities. The combination of this knowledge and smartphones' expensive price makes them a desirable target to feed physical theft. It goes without saying that the device proprietor would choose to reclaim the device in this circumstance. The info must also be protected from unauthorized access. In this research, we present the first anti-theft strategy that addresses these issues. Our recommendation is based on an innovative concept for a theft-deterrent honeypot account that protects the person's data while preventing a criminal from scrubbing the device clean.

2. LITERATURE SURVEY

Today's cell phones cost anywhere from 50k to 1.5 lakh rupees. Besides to the cash loss, a phone can also have its confidential data lost or stolen. According to a survey, there were more than 3.1 million missing smartphones in 2016. A separate study found that victims would spend about Rs. 41,069.33 to get back all of their private data, including photographs and videos. In turn, information leakage to the criminal is prevented and there is a high probability that the true owner of a stolen instrument will be able to retrieve it. The smartphone is a necessity for everyone. They significantly improve day-to-day living. Nowadays, people use cell phones for a wide range of activities, such as taking photos, viewing the internet, and conducting online banking. As shown in Figure 1. However, as malware becomes more sophisticated and advanced, it has been discovered that the

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Priyadharshini S. et al, [2] Machine learning techniques have been used in this study to identify malicious Android applications. Open source datasets and Kaggle datasets are the ones who acquire the datasets. Here, data preparation and feature extraction methods are used to accelerate algorithm computation. Applying data pre processing to data characteristics. In essence, it aids in normalizing the data within a certain region. Data pruning methods for feature extraction are employed. This document shows that data science is used for malware detection and aims to expose the use of machine learning (ML) methodologies for malware research. Iliyasu Yahaya Adam et al., [3], the research discusses some security issues and potential benefits of mobile phone tracker

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