| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - time-series-forecasting |
| language: |
| - en |
| tags: |
| - cybersecurity |
| - intrusion-detection |
| - network-security |
| - edge-computing |
| - threat-intelligence |
| pretty_name: HookProbe Edge IDS Threat Telemetry |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: verdicts |
| data_files: |
| - split: all |
| path: "data/*.parquet" |
| - config_name: aggregated |
| data_files: |
| - split: daily |
| path: "aggregated/daily_country_asn.parquet" |
| --- |
| |
| # HookProbe Edge IDS Threat Telemetry |
|
|
| Real-world, anonymised threat verdicts from the **HookProbe** production |
| edge intrusion-detection system. Unlike synthetic lab datasets |
| (CICIDS2017, UNSW-NB15, Kitsune) this is what an actual edge sensor |
| mesh observes on the open internet, labelled by the SENTINEL ensemble |
| (isolation forest + calibrated naive-Bayes) that ships with HookProbe. |
|
|
| - **Sensor**: Raspberry Pi edge node + NAPSE AI-native flow classifier |
| - **Enrichment**: RDAP country + ASN lookups |
| - **Labels**: `malicious` / `suspicious` / `benign` with anomaly score 0–1 |
| - **Actions**: `block` / `throttle` / `cognitive_block` / `cognitive_throttle` / |
| `escalate` / `alert` / `monitor` / `cognitive_none` / `none` — emitted by the |
| CNO cognitive-defense layer. `cognitive_*` variants indicate the decision came |
| from the CNO synaptic controller rather than the static HYDRA rule path. |
| - **License**: CC-BY-4.0 — free for commercial or academic use with attribution |
| - **Canonical URL**: https://hookprobe.com/threats/ |
|
|
| ## Schema |
|
|
| ### `verdicts` (primary) |
|
|
| | column | type | description | |
| |-----------------|---------------|---------------------------------------------------------| |
| | timestamp_hour | timestamp[s] | UTC, truncated to the hour | |
| | src_ip_hash | string(16) | SHA-256(salt ∥ src_ip)[:16]. Pseudonymous. | |
| | country | string | ISO-3166-1 alpha-2 | |
| | asn | uint32 | Autonomous-system number (0 if unknown) | |
| | asn_name | string | ASN organisation name | |
| | anomaly_score | float32 | Ensemble output, 0.0 benign – 1.0 malicious | |
| | verdict | enum | `malicious` \| `suspicious` \| `benign` | |
| | action_taken | enum | see **Actions** above — 9 possible values | |
| |
| ### `aggregated` (derived) |
| |
| | column | type | description | |
| |-------------------|----------|--------------------------------------------------| |
| | date | date32 | UTC day | |
| | country, asn, asn_name | ... | same semantics as primary | |
| | threat_count | uint32 | total verdicts for that country/asn/day | |
| | malicious, suspicious, benign | uint32 | per-class counts | |
| | avg_anomaly_score | float32 | mean ensemble score | |
| |
| ## Privacy model |
| |
| - **IPs are hashed** with a project salt that is not published. The hash is |
| deterministic across releases so longitudinal analysis of attacker |
| behaviour is preserved, but the mapping is one-way. |
| - **Timestamps are truncated to the hour** to prevent correlation against |
| third-party logs with second-precision timestamps. |
| - **No payload data** is exposed — only verdicts and enrichment. |
| |
| ## Data caveats |
| |
| - The **SENTINEL calibration window (2026-02-22 → 2026-03-09)** is |
| excluded by default. During that period the ensemble produced a ~98% |
| false-positive rate, which was fixed in the 9-point SENTINEL release |
| on 2026-03-09. Training on that window would mis-lead downstream models. |
| - Because the sensor is a single edge node, geographic and ASN |
| distributions reflect **what targets that specific deployment** — not |
| a global baseline. Treat skew accordingly. |
| |
| ## Citation |
| |
| ```bibtex |
| @dataset{hookprobe_edge_ids_threats_2026, |
| author = { {HookProbe Security Research} }, |
| title = { {HookProbe Edge IDS Threat Telemetry} }, |
| year = { 2026 }, |
| url = { https://huggingface.co/datasets/hookprobe/edge-ids-threats }, |
| note = { 548,428 verdicts; temporal coverage 2026-04 → 2026-04 }, |
| } |
| ``` |
| |
| ## Example usage |
| |
| ```python |
| from datasets import load_dataset |
|
|
| # Full verdict stream — ML-grade labelled data |
| ds = load_dataset("hookprobe/edge-ids-threats", name="verdicts", split="all") |
| print(ds[0]) |
| |
| # Pre-aggregated daily country/ASN counts — analyst-grade |
| agg = load_dataset("hookprobe/edge-ids-threats", name="aggregated", split="daily") |
| ``` |
| |
| ## Updates |
| |
| - **Cadence**: new month appended at 02:00 UTC on the 1st of each month |
| - **Major releases**: quarterly, with a companion report at |
| https://hookprobe.com/blog/threat-landscape-<year>-q<n>/ |
| |
| ## Contact |
| |
| - Website: https://hookprobe.com |
| - Security research: qsecbit@hookprobe.com |
| - Issues: open a discussion on this dataset's HF page |
| |
