The growing sophistication of cyberattacks, accelerated by large language models (LLMs), highlights the limitations of traditional honeypots, which often lack realism, require heavy maintenance, and rely on static deception strategies. Recent LLM-based honeypots generate fluent, context-aware responses but cannot adapt...
Ren-Hung Hwang, Jiao-Chuan Huang, Yuan-Cheng Lai et al.· IEEE Transactions on Network...· 0 citations
Security Operations Centers face overwhelming volumes of alerts from firewalls, intrusion detection systems, and other sources. These alerts often lack temporal and semantic coherence, hindering analysts from reconstructing full MITRE ATT&CK lifecycles or anticipating subsequent techniques. To address this, we propose...
Ying-Dar Lin, Chun-Yi Chang, Didik Sudyana et al.· IEEE Transactions on Machine...· 0 citations
The increasing deployment of Edge–Internet of Things (IoT) networks intensifies the need for robust and privacy-preserving malware detection solutions. However, such environments are characterized by highly heterogeneous and nonindependent and identically distributed (non-IID) data distributions, limited computational...
Binayak Kar, M. Andreas, Yuan-Cheng Lai et al.· IEEE Internet of Things Jour...· 0 citations
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