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Publish AriaSOC synthetic laboratory cases

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: AriaSOC laboratory cases
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+ task_categories:
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+ - text-classification
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+ - other
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+ tags:
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+ - cybersecurity
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+ - soc
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+ - alert-triage
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+ - siem
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+ - synthetic
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+ language:
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+ - en
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+ - fa
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # AriaSOC laboratory cases
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+
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+ Synthetic SIEM alerts and case labels used by [AriaSOC](https://huggingface.co/spaces/alirezaaminzadeh/aria-soc).
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+
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+ **This is generated data** (seed `24`). It is for reproducible demos and tests, not a customer extract. Addresses are documentation-range or RFC1918 laboratory values. Tokens and mailboxes are fake and redacted in the demo.
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+
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+ ## Files
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+
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+ | File | Grain | Notes |
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+ |---|---|---|
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+ | `data/alerts.csv` | one alert | Required SOC fields plus source, title, optional ATT&CK |
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+ | `data/cases.csv` | 20 generator scenarios | Incident id, importance, gold label |
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+ | `data/splits.json` | time cut | Train = earlier 70% of timestamps |
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+ | `data/evaluation.json` | one run | Recorded baseline vs correlation metrics |
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+ | `data/sample_preview.json` | UI snapshot | Precomputed KPI HTML; labeled as a sample |
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+
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+ ## Schema
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+
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+ `alerts.csv`: `event_id, timestamp, asset_id, rule_id, severity, user_id, source, title, message, src_ip, dest_host, process, technique, case_id, incident_id, importance, gold_label`
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+
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+ Required for the demo parser: `event_id, timestamp, asset_id, rule_id, severity, user_id`. Empty `asset_id` or `user_id` is valid and means **unknown**, not a pass.
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+
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+ Sources: `identity`, `edr`, `network`.
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+
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+ Importance: `important`, `benign`, `noise`, `insufficient`.
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+
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+ ## Split
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+
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+ Do **not** shuffle rows of the same incident into train and test. Use `timestamp <= train_until` from `splits.json` as history. The optional LightGBM ranker is fit only on that earlier window.
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+
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+ ## Generator
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+
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+ `projects/aria-soc/src/generator.py` in the Space repo, seed `24`. Twenty scenarios include a finance compromise chain, look-alike benign activity, missing-schema events, and a two-day-old recon burst that sits outside the default correlation window.
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+
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+ ## License
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+
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+ CC-BY-4.0. Keep the synthetic-data label if you reuse the tables.
data/alerts.csv ADDED
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data/cases.csv ADDED
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+ case_id,incident_id,importance,gold_label,title,sources
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+ C01-credential-spray,I-FIN-001,important,true_positive,Credential spray then success,identity
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+ C02-ransom-like,I-FIN-001,important,true_positive,Mass rename and backup deletion,edr
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+ C03-lateral-smb,I-FIN-001,important,true_positive,SMB lateral from finance host,"network,edr"
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+ C04-impossible-travel,I-HR-004,important,true_positive,Two countries in 40 minutes,identity
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+ C05-beacon,I-DEV-005,important,true_positive,Periodic outbound beacon,network
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+ C06-encoded-ps,I-JUMP-006,important,true_positive,Encoded PowerShell on jump host,edr
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+ C07-phish-oauth,I-HR-007,important,true_positive,Mail click then OAuth grant,"identity,edr"
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+ C08-dns-nx,I-DEV-005,important,true_positive,High NXDOMAIN rate,network
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+ C09-mfa-disable,I-ADM-009,important,true_positive,Privileged MFA disabled,identity
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+ C10-svc-interactive,I-BAK-010,important,true_positive,Backup service account interactive logon,identity
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+ C11-vuln-scan,I-BEN-011,benign,benign,Approved vulnerability scan,network
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+ C12-av-update-storm,I-NOI-012,noise,noise,Antivirus definition storm,edr
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+ C13-travel-vpn,I-BEN-013,benign,benign,Travel plus corporate VPN,identity
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+ C14-helpdesk-rdp,I-BEN-014,benign,benign,Scheduled helpdesk RDP,network
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+ C15-software-deploy,I-BEN-015,benign,benign,Change-window process storm,edr
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+ C16-broken-schema,I-UNK-016,insufficient,insufficient,Events missing required context,"identity,edr"
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+ C17-orphan-low,I-UNK-017,insufficient,insufficient,Single low-severity orphan,network
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+ C18-shared-ip-unrelated,I-MIX-018,benign,benign,"Shared NAT IP, unrelated users",network
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+ C19-dup-c02,I-FIN-001,important,true_positive,Near-duplicate ransom alerts that must survive,edr
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+ C20-early-recon,I-FIN-001,important,true_positive,Recon two days earlier; outside default window,network
data/evaluation.json ADDED
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+ {
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+ "has_ground_truth": true,
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+ "input_events": 643,
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+ "cluster_count": 92,
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+ "baseline_queue_size": 48,
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+ "noise_reduction": 0.8569,
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+ "unwitnessed_claim_rate": 0.0,
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+ "precision_at_k": 0.875,
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+ "pairwise_precision": 0.8578,
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+ "important_pairwise_recall": 0.8034,
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+ "important_incident_recall": 1.0,
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+ "top_k": 8
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+ }
data/sample_preview.json ADDED
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+ {
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+ "run_id": "aria-soc-9d0709194d",
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+ "status": "ok",
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+ "status_label": "Live analysis finished",
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+ "metrics": {
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+ "has_ground_truth": true,
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+ "input_events": 643,
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+ "cluster_count": 92,
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+ "baseline_queue_size": 48,
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+ "noise_reduction": 0.8569,
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+ "unwitnessed_claim_rate": 0.0,
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+ "precision_at_k": 0.875,
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+ "pairwise_precision": 0.8578,
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+ "important_pairwise_recall": 0.8034,
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+ "important_incident_recall": 1.0,
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+ "top_k": 8
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+ },
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+ "baseline_metrics": {
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+ "queue_size": 48,
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+ "noise_reduction": 0.9253,
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+ "precision_at_k": 1.0,
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+ "important_incident_recall": 0.8571
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+ },
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+ "kpi_html": "\n<div class=\"kpi-grid\">\n <article class=\"kpi-card\"><p class=\"kpi-label\">Needs review</p><p class=\"kpi-value\">32</p><p class=\"kpi-sub\">Cases in the analyst queue</p></article>\n <article class=\"kpi-card\"><p class=\"kpi-label\">Events kept</p><p class=\"kpi-value\">643</p><p class=\"kpi-sub\">Dropped 0 unusable rows</p></article>\n <article class=\"kpi-card\"><p class=\"kpi-label\">Incomplete</p><p class=\"kpi-value\">53</p><p class=\"kpi-sub\">Missing user, asset, or second source</p></article>\n <article class=\"kpi-card\"><p class=\"kpi-label\">Queue compression</p><p class=\"kpi-value\">86%</p><p class=\"kpi-sub\">Always read with important-case recall</p></article>\n <article class=\"kpi-card\"><p class=\"kpi-label\">Runtime</p><p class=\"kpi-value\">7.2s</p><p class=\"kpi-sub\">Warm CPU target < 30s</p></article>\n</div>\n",
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+ "precomputed": true
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+ }
data/splits.json ADDED
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+ {
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+ "seed": 24,
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+ "train_until": "2026-09-18T08:23:00",
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+ "note": "Time split by alert timestamp. Do not shuffle rows of the same incident."
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+ }