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Research Objectives:
1. Design a rapid-response honeypot system capable of capturing and analyzing various types of attack behaviors.
2. Utilize AI models for accurate prediction of attack types, providing a basis for defense strategy formulation.
3. Integrate SDN technology to achieve dynamic traffic management and resource allocation, enhancing system efficiency.
Research Motivation:
Existing static honeypot systems face challenges such as slow response times, significant resource wastage, and difficulty in addressing dynamic attacks. In contrast, dynamic honeypot systems can quickly generate corresponding defense strategies based on different attack behaviors, greatly improving overall defense effectiveness. This study aims to address these issues by leveraging AI technology to enhance prediction accuracy and combining it with SDN technology to enable dynamic resource allocation.
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IEEE/ICACT20250010 Slide.06
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