This paper discusses the importance of adaptive deception defense strategies based on TrapManager in addressing evolving network security challenges, especially in the context of the digital transformation of the textile and leather industries, which involves smart manufacturing and the Industrial Internet of Things (IIoT). By leveraging deception techniques to mislead attackers and to supplement traditional defenses, organizations can significantly improve their ability to detect and prevent advanced persistent threats and insider attacks. The research highlights the potential for these strategies to enhance security response efficiency and accuracy, offering a proactive approach to network defense.

TrapManager, adaptive deception defense, textile industry security, Advanced Persistent Threats (APT), cyberspace security