A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.
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FOT-CFM generates turbulent fields in function space with superior high-order statistics and energy spectra on Navier-Stokes, Kolmogorov flow, and Hasegawa-Wakatani equations compared to baselines.
MoCQ combines LLMs with symbolic validation to generate vulnerability patterns for static analysis, matching expert performance on 12 types across four languages and finding 25 new real-world vulnerabilities.
citing papers explorer
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Converging Zero Trust and IoT Security: A Multivocal Literature Review
A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.
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Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space
FOT-CFM generates turbulent fields in function space with superior high-order statistics and energy spectra on Navier-Stokes, Kolmogorov flow, and Hasegawa-Wakatani equations compared to baselines.
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Neuro-symbolic Static Analysis with LLM-generated Vulnerability Patterns
MoCQ combines LLMs with symbolic validation to generate vulnerability patterns for static analysis, matching expert performance on 12 types across four languages and finding 25 new real-world vulnerabilities.