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[
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"href": "notebooks/02_attack_analysis.html",
"title": "UATE Capstone Documentation",
"section": "",
"text": "Code\n---\ntitle: \"Mathematical Kernel Analysis\"\nformat:\n html:\n code-fold: false # Completely disables expanding the code block\n code-summary: \"View Abstract\"\nexecute:\n echo: false # CRITICAL: Hides all raw input code blocks entirely from the page\n warning: false # Prevents system warnings from cluttering your page\n---",
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" ↳ Live Telemetry Charts"
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"objectID": "docs/architecture_math.html",
"href": "docs/architecture_math.html",
"title": "System Architecture & Mathematical Schema",
"section": "",
"text": "The Unified Architecture & Telemetry Engine (UATE) captures kernel-space packet transitions and pushes them through an unblackboxed data matrix transformation pipeline.\n\n\n\nIngestion: Cilium eBPF ring buffer streams live network packet metadata.\nAlgorithmic Kernel: Custom Python engines apply anisotropic scaling tensors and project vectors down using PCA.\nPersistence Layer: Transformed embeddings are stored in PostgreSQL via the pgvector extension.",
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"objectID": "docs/architecture_math.html#structural-blueprint",
"href": "docs/architecture_math.html#structural-blueprint",
"title": "System Architecture & Mathematical Schema",
"section": "",
"text": "The Unified Architecture & Telemetry Engine (UATE) captures kernel-space packet transitions and pushes them through an unblackboxed data matrix transformation pipeline.\n\n\n\nIngestion: Cilium eBPF ring buffer streams live network packet metadata.\nAlgorithmic Kernel: Custom Python engines apply anisotropic scaling tensors and project vectors down using PCA.\nPersistence Layer: Transformed embeddings are stored in PostgreSQL via the pgvector extension.",
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"href": "docs/architecture_math.html#mathematical-modeling-engine",
"title": "System Architecture & Mathematical Schema",
"section": "2. Mathematical Modeling Engine",
"text": "2. Mathematical Modeling Engine\nTo scale and compress incoming metrics, we process raw telemetry records through a diagonal metric tensor matrix \\(\\mathbf{G}\\):\n\\[\\mathbf{G} = \\begin{bmatrix} w_1 & 0 & 0 & 0 \\\\ 0 & w_2 & 0 & 0 \\\\ 0 & 0 & w_3 & 0 \\\\ 0 & 0 & 0 & w_4 \\end{bmatrix}\\]\nThe distance metric within this warped space is calculated via: \\[d_{\\mathbf{G}}(\\mathbf{x}, \\mathbf{y}) = \\sqrt{(\\mathbf{x} - \\mathbf{y})^T \\mathbf{G} (\\mathbf{x} - \\mathbf{y})}\\]\nDimensionality reduction is achieved using an unblackboxed Covariance Matrix evaluation and the Power Iteration algorithm to isolate the principal eigenvectors.",
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"objectID": "docs/infrastructure.html",
"href": "docs/infrastructure.html",
"title": "Virtualized Provisioning & eBPF Telemetry",
"section": "",
"text": "The sandbox runs inside a lightweight, optimized Ubuntu server node managed by Lima on Apple Silicon hypervisors.\n\n\n\nMemory Limits: eBPF maps require pinned pages. System memory pools must be adjusted via ulimit -l unlimited to avoid ENOMEM map allocation crashes.\nNetwork Fabrics: Traffic isolates within a dedicated Docker bridge subnet (172.24.0.0/16) named uate-fabric-net.",
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"objectID": "docs/infrastructure.html#virtualization-profile",
"href": "docs/infrastructure.html#virtualization-profile",
"title": "Virtualized Provisioning & eBPF Telemetry",
"section": "",
"text": "The sandbox runs inside a lightweight, optimized Ubuntu server node managed by Lima on Apple Silicon hypervisors.\n\n\n\nMemory Limits: eBPF maps require pinned pages. System memory pools must be adjusted via ulimit -l unlimited to avoid ENOMEM map allocation crashes.\nNetwork Fabrics: Traffic isolates within a dedicated Docker bridge subnet (172.24.0.0/16) named uate-fabric-net.",
"crumbs": [
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"objectID": "docs/infrastructure.html#telemetry-rules-kernel-ingress-hook",
"href": "docs/infrastructure.html#telemetry-rules-kernel-ingress-hook",
"title": "Virtualized Provisioning & eBPF Telemetry",
"section": "2. Telemetry Rules (Kernel Ingress Hook)",
"text": "2. Telemetry Rules (Kernel Ingress Hook)\nA raw C-based eBPF tracepoint program hooks into the ingress interface layer to track cumulative byte transfers per unique source IP address. The metrics populate a low-overhead kernel hash map, which the user-space processing loop pulls from at runtime.",
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"2. VM & eBPF Infrastructure"
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{
"objectID": "docs/index.html",
"href": "docs/index.html",
"title": "Project Overview",
"section": "",
"text": "Welcome to the Unified Architecture & Telemetry Engine (UATE) Portfolio. This public framework displays high-level mathematical telemetry validations.",
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"Project Overview"
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"href": "notebooks/01_tensor_math.html",
"title": "UATE Capstone Documentation",
"section": "",
"text": "Code\n---\ntitle: \"Mathematical Kernel Analysis\"\nformat:\n html:\n code-fold: false # Completely disables expanding the code block\n code-summary: \"View Abstract\"\nexecute:\n echo: false # CRITICAL: Hides all raw input code blocks entirely from the page\n warning: false # Prevents system warnings from cluttering your page\n---",
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