Honeypot-Driven Threat Intelligence And Incident Response Framework For Enhanced Data Security In 21st Century

Abstract

In today’s rapidly evolving digital environment, cybersecurity threats are becoming more advanced, underscoring the need for innovative approaches to threat detection and incident response. This paper introduces a honeypot-based threat intelligence and incident response framework that utilizes honeypot systems to collect critical threat data and improve security operations. The proposed framework offers a comprehensive strategy for safeguarding data, enabling organizations to proactively identify and mitigate cyber threats. Since data collection plays a crucial role in network forensics, honeypot mechanisms are effectively employed to gather valuable forensic data. As an emerging technology, honeypots hold significant promise for the cybersecurity community. Within this framework, the selection of alternative network paths plays a key role in isolating intruders and optimizing network usage. The outcome of this approach is to ensure secure and reliable communication between users and servers.