AHMAD AL-AMIN BIN AZUHA Universiti Kuala Lumpur Malaysian Institute Of Information Technology (UniKL MIIT)
In today’s more and more digital world, the cybersecurity threats are also growing constantly requiring higher levels of protection to safeguard important systems and information. The main goal of this project is the creation and deployment of the honeypot system that combines decoy networks to attract and profile dangerous intruders in real time. Organized as a standalone but connected entity, the honeypot has been created to mimic weak systems that attract malicious individuals, providing notes on their modus operandi. This data is recorded persistently and made analytically accessible to cybersecurity teams, these feed into patterns and novelties in attacks. There is learning with potential attackers’ behaviours to counter the attacks effectively since a company can learn the later tactics and thus plan adequately. The information sourced from this honeypot system forms the basis of a coherent structure of a report that is helpful for security analysts in the identification of emerging threats, in the designing of a prevention strategy and in the optimization of the response strategies. In conclusion, this work enhances the knowledge base of threat intelligence within the domain of cybersecurity by providing an integrated system that helps understand the occurrence of malicious events and improve organizational protection against future cyber-related events.