Detecting Unauthorized Access of Personal Accounts

Project Code :TCMAPY1001

Objective

The objective of detecting unauthorized access to personal accounts is to safeguard sensitive information and maintain user privacy and security. By promptly identifying and responding to any unauthorized entry attempts, this process aims to prevent unauthorized individuals from gaining access to personal accounts, such as email, social media, financial, and other online platforms. Swift detection allows for immediate actions, such as password resets, notifications to the account holder, and potential lockdowns, mitigating the risk of data breaches, identity theft, and financial losses. Implementing effective detection mechanisms, such as multi-factor authentication, behavior analysis, and real-time monitoring, enhances the overall cybersecurity posture, reinforces user trust, and ensures the confidentiality and integrity of personal data.

Abstract

Unauthorized access, which means when someone enters into your device, system or your house without your permission is said to be unauthorized access. Several methods are being used to handle these unauthorized access problems. This project demonstrates to increase the capability of the devices we have constructed. Our proposed method integrates a better approach, intended to advance the cooperativeness of the explore operation. In this work, we develop the application with a device to eradicate the unauthorized access of unknown persons into our premises. Our application can be able to alert the persons whenever any unknown person is trying to enter into our premises.

KEYWORDS: Access, Unauthorized, Application, Deep Learning, Face Detection.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.