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Data Modeling
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Threat Modeling with OWASP Threat Dragon
performing-threat-modeling-with-owasp-threat-dragon
mukul975/Anthropic-Cybersecurity-Skills
268
This skill guides users through performing comprehensive threat modeling using the OWASP Threat Dragon tool. It covers creating Data Flow Diagrams (DFD), identifying vulnerabilities using established methodologies like STRIDE and LINDDUN, defining mitigations, and generating formal PDF reports. Ideal for secure design reviews, architecture validation, and achieving GRC compliance.
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Advanced Multistatic Sensing and Fusion
ruview-advanced-sensing
ruvnet/RuView
207
A comprehensive framework for advanced sensing utilizing WiFi signals. It implements multistatic radar sensing, cross-viewpoint data fusion, RF tomography for volumetric imaging, and persistent field modeling. Features include pre-movement intention detection, biomechanics drift tracking, and robust mesh security hardening for research-grade deployments.
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Modeling The SoCC Review Process
socc-review-process
brycewang-stanford/Awesome-Journal-Skills
181
This guide details the rigorous academic review process for ACM Symposium on Cloud Computing (SoCC) submissions. It explains the dual-anonymous, two-round review structure, the importance of incorporating both systems performance and data measurement rigor (including tail latency and cost), and how the rebuttal period functions. Essential reading for authors aiming to publish in top-tier cloud computing venues.
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