Cybersecurity threat detection to Prevent System

Abstract: Cybersecurity Threat Detection is a system designed to help detect and prevent cyber-attacks in real time. In today’s digital world, hackers attempt to steal sensitive data, disrupt services, or damage systems using methods such as malware, phishing, ransomware, and unauthorized access. With the rapid growth of online transactions, cloud computing, and interconnected devices, the risk of cyber threats has increased significantly. This project aims to protect users and organizations by identifying these threats early, generating alerts, and enabling quick defensive action. The system continuously monitors network activity, user behaviour, and system logs to identify anomalies. When a possible threat is detected, it sends an immediate warning and records detailed information for further analysis. Detection techniques include signature-based scanning for known attack patterns, anomaly detection to spot unusual traffic or login attempts, and behavioural analysis to identify suspicious actions from users or devices. By combining these approaches, the system achieves a balance between accuracy and efficiency, reducing false positives while ensuring that genuine threats are not overlooked. The project is developed using HTML, CSS, and JavaScript for the front-end interface, providing a user- friendly dashboard where alerts and logs can be viewed clearly. The Python-based back-end handles data processing, threat detection algorithms, and communication between system components. The dashboard allows administrators to track incidents, analyse patterns, and take corrective measures such as blocking IP addresses, disabling compromised accounts, or applying patches. This system contributes to reducing the risk of cyber-attacks by offering proactive monitoring and timely alerts. It empowers users to safeguard their data, maintain system integrity, and comply with security standards. Beyond individual protection, the project demonstrates how organizations can adopt layered security measures to strengthen resilience against evolving cyber threats. Ultimately, Cybersecurity Threat Detection enhances trust in digital platforms and supports the safe growth of technology-driven environments.

Keywords: Cybersecurity, Threat Detection, Intrusion Detection System (IDS), Anomaly Detection, Malware Prevention, Network Security, Real-Time Monitoring, Incident Response.