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feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter
Added structured security framework mappings to SKILL.md frontmatter across all applicable skills: - atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques) - d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs) - nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions) Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
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---
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name: detecting-dnp3-protocol-anomalies
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description: >
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Detect anomalies in DNP3 (Distributed Network Protocol 3) communications
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used in SCADA systems by monitoring for unauthorized control commands,
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firmware update attempts, protocol violations, and deviations from baseline
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traffic patterns using deep packet inspection and machine learning approaches.
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description: 'Detect anomalies in DNP3 (Distributed Network Protocol 3) communications used in SCADA systems by monitoring
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for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns
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using deep packet inspection and machine learning approaches.
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'
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domain: cybersecurity
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subdomain: ot-ics-security
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tags: [ot-security, ics, dnp3, scada, anomaly-detection, protocol-analysis, energy-sector, ids]
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version: "1.0"
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tags:
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- ot-security
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- ics
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- dnp3
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- scada
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- anomaly-detection
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- protocol-analysis
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- energy-sector
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- ids
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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atlas_techniques:
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- AML.T0043
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- AML.T0018
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nist_ai_rmf:
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- MEASURE-2.7
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- MEASURE-2.5
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- MAP-5.1
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---
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# Detecting DNP3 Protocol Anomalies
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