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Generative AI (GAI) models have been rapidly advancing, with a wide range ofapplications including intelligent networks and mobile AI-generated content(AIGC) services. Despite their numerous applications and potential, such modelscreate opportunities for novel security challenges. In this paper, we examinethe challenges and opportunities of GAI in the realm of the security ofintelligent network AIGC services such as suggesting security policies, actingas both a ``spear'' for potential attacks and a ``shield'' as an integral partof various defense mechanisms. First, we present a comprehensive overview ofthe GAI landscape, highlighting its applications and the techniquesunderpinning these advancements, especially large language and diffusionmodels. Then, we investigate the dynamic interplay between GAI's spear andshield roles, highlighting two primary categories of potential GAI-relatedattacks and their respective defense strategies within wireless networks. Acase study illustrates the impact of GAI defense strategies on energyconsumption in an image request scenario under data poisoning attack. Ourresults show that by employing an AI-optimized diffusion defense mechanism,energy can be reduced by 8.7%, and retransmission count can be decreased from32 images, without defense, to just 6 images, showcasing the effectiveness ofGAI in enhancing network security.

Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services