Development and Deployment of Honeypot-Based Attacker Behavior Analysis Dashboard for E...

Objective: To design, implement, and deploy an interactive honeypot system that captures attacker activity and provides real-time behavioral analytics for enterprise security teams.

Indian enterprises, educational institutions, and government agencies face persistent threats from cyber attackers targeting their networks and sensitive data. Traditional security measures often fail to detect sophisticated intrusions and cannot provide detailed insights into attacker tactics, techniques, and procedures, leaving organizations vulnerable to evolving threats.

This project proposes the engineering of a modular honeypot system, strategically deployed within an enterprise network, to attract, record, and analyze unauthorized access attempts. The solution includes the development of an interactive dashboard that visualizes attacker behavior, correlates events, and supports threat intelligence generation. The system leverages open-source honeypot frameworks, custom logging, and real-time analytics to provide actionable insights.

Key features include configurable honeypot types (web, SSH, SMB), automated data collection, behavioral profiling, attack timeline visualization, live alerts, and exportable reports. The working model will demonstrate real-time detection of simulated attacks and comprehensive analysis of captured data, validated through controlled attack scenarios.

Industry impact lies in enhancing proactive cyber defense capabilities for Indian organizations, supporting security operations centers (SOCs), and training cybersecurity professionals. The scalable architecture allows deployment across diverse environments and integration with existing SIEM solutions, contributing to improved incident response and threat awareness.