Enhancing Cybersecurity Resilience: Integrating IDS with Advanced Honeypot Environments for Proactive Threat Detection

As cyber threats evolve, conventional intrusion detection methods struggle to detect, necessitating innovative solutions. This research study explores the transformative potential of honeypots as advanced intrusion detection systems, offering a proactive approach to cybersecurity. The study conducts a comprehensive analysis of honeypot architectures, their effectiveness in detecting threats, reducing false positives, and integrating with existing security frameworks. Ethical and legal considerations surrounding honeypot deployment are also addressed. Through the deployment in controlled environments, simulated attack scenarios, and data analysis, this research aims to reveal the unique insights and capabilities honeypots offer. Methodologies include honeypot selection, deployment architecture design, attack simulations, data collection, and analysis, concluding the validation of the proposed intrusion detection system. The findings contribute to academic discourse and provide actionable insights for cybersecurity professionals to enhance organizational security. Leveraging honeypots as integral security components enhances organizations’ ability to detect, analyse, and mitigate advanced cyber threats, enabling resilience in the face of evolving risks.