Why Choose This Project

In modern applications, unusual login behavior can indicate compromised accounts, insider threats, or automated attacks. Traditional security measures often fail to detect subtle anomalies in user login patterns. This project provides a web-based system that analyzes login behavior over time and flags deviations from normal patterns, helping administrators detect suspicious activity early and prevent potential breaches.

What You Get

A platform that monitors user login activity, including IP addresses, geolocation, device/browser information, and access times. It uses statistical and behavioral analytics to identify anomalies such as unusual login locations, times, or device changes. Administrators can investigate flagged accounts, receive alerts, and generate detailed reports.

Key Features

Technology Stack

Frontend Layer

• HTML, CSS, JavaScript

• Bootstrap for responsive UI

• Optional: React.js or Vue.js for dynamic dashboards

Backend Layer

• Node.js (Express) / Java Spring Boot / Python Flask

• Handles login data collection, anomaly detection, and alerts

Database Layer

• MongoDB / MySQL / PostgreSQL for storing login data and anomaly logs

Security Layer

• HTTPS for secure portal access

• JWT / OAuth2 for admin authentication

Optional Libraries & APIs

• Machine learning libraries: scikit-learn (Python) or TensorFlow.js for pattern analysis

• GeoIP API for geolocation detection

• Email/SMS API (Nodemailer, Twilio) for alerts

• Chart.js / D3.js for visual dashboards

Working Flow

1. User Login Attempt

   • Users log in normally via the platform.

2. Login Data Capture

   • System records IP, geolocation, device/browser, and timestamp for every login.

3. Pattern Analysis

   • Login events are analyzed against historical patterns to detect anomalies.

   • Examples: unusual location, atypical time, new device, or rapid succession of logins.

4. Anomaly Detection & Risk Scoring

   • Deviations are assigned risk scores (low, medium, high).

5. Alerts & Notifications

   • Admins receive real-time notifications when high-risk anomalies are detected.

6. Dashboard & Reporting

   • Visualize trends, top anomalies, and high-risk users via charts and heatmaps.

   • Generate detailed reports for compliance or forensic review.

Main Modules

• Authentication Module → Secure admin login and role management

• Login Capture Module → Track all user login events with metadata

• Pattern Analysis Engine → Detect anomalous login behavior using statistical or ML methods

• Alert Module → Notify admins of suspicious logins

• Dashboard Module → Visualize login patterns, anomalies, and risk scores

• Reporting Module → Generate detailed incident and anomaly reports

• API Module → Provide anomaly detection results to external security systems

Security Features

• HTTPS-secured portal and API endpoints

• JWT/OAuth2 authentication for admin access

• Role-based access control for sensitive modules

• Real-time alerts for suspicious login activity

• Audit logs for all login events and anomalies

• IP, geolocation, and device verification for enhanced threat detection