Next-Generation Cyber Trap for Corporate Intrusion Detection Project

This project dissertation explores the development and implementation of a next-generation Cyber Trap system for corporate intrusion detection and prevention. The introduction highlights the growing threat of cyber traps and the importance of robust security measures for businesses. The literature review covers relevant technologies and concepts, including intrusion detection and prevention systems (IDPS), firewalls, and honeypots. The project proposes a system with modules for malware detection, intrusion detection, honeypot management, auditing, and backup management. The implementation section details the design and functionality of each module, emphasizing the importance of proactive measures. The challenges faced by intrusion detection servers, such as managing high alert volumes and responding to threats, are also discussed. The project aims to provide a comprehensive understanding of cyber security and its impact on corporate data and information.