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#natural language process... Preprint Aug 2026

BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence

BEACON is an LLM-driven framework for cross-source CTI knowledge graph construction that constructs and releases two human-annotated datasets from 34 sources and outperforms all baselines by at least 23% and 9%, respectively.

Chang-Ze Li, Yu-Tong Cheng, Tsania Camila Finnisa et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Reasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis

Large Language Models (LLMs) are increasingly used in cybersecurity, where accurate analysis often requires multi-step and context-dependent reasoning over complex and heterogeneous data. However, existing prompting approaches typically focus on eliciting reasoning without explicitly considering how intermediate reason...

Ji-Ling Zhou, Aisvarya Adeseye, Antti Hakkala et al. · 0 citations
#small language model Open access Sep 2026

EASE-CloudNet: Adaptive Safety Alignment for Edge–Cloud SLMs via GNN-Informed Selective Reasoning and Multi-Objective Distillation

EASE-CloudNet is a two-phase safety-alignment framework for generative small language models (SLMs) deployed on resource-constrained edge nodes that formulate deployment cost as a differentiable gate-conditioned expectation, so measured latency and energy constants affect the router through its reasoning probability.

Jie-Jie Shi, Hua-Cai Chen, Liang-Ying Han · 0 citations
Open access Aug 2026

Ontology-Driven Modeling and Semantic Integration of Attack, Protection, and Risk Domains in Electric Vehicle Charging Systems

EVCS-SecOnt enhances the interpretability, reusability, and explainability of EVCS cybersecurity management by bridging operational data with semantic intelligence, providing a semantic foundation for next-generation e-mobility and smart charging infrastructures.

Talea Huraysi, Ohud Alsadi, T. Pamulapati et al. · 0 citations

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