Han L. J. van der Maas

30 papers A 1B 3C 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
User Model. User Adapt. Interact.
Hanke Vermeiren, Abe D. Hofman, Maria Bolsinova, Han L. J. van der Maas, Wim Van Den Noortgate
2026 A conf
LAK
Hanke Vermeiren, Pritam Laskar, Maria Bolsinova, Wim Van Den Noortgate, Han L. J. van der Maas, Abe D. Hofman
2025 J jnl
Comput. Educ. Artif. Intell.
Hanke Vermeiren, Joost Kruis, Maria Bolsinova, Han L. J. van der Maas, Abe D. Hofman
2024 B conf
CogSci
Pritam Laskar, Han L. J. van der Maas
2024 J jnl
CoRR
Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas, Melanie Mitchell
2024 J jnl
J. Comput. Sci.
Maarten W. J. van den Ende, Mathijs Maijer, Mike H. Lees, Han L. J. van der Maas
2023 J jnl
CoRR
Claire E. Stevenson, Mathilde ter Veen, Rochelle Choenni, Han L. J. van der Maas, Ekaterina Shutova
2023 conf
AIED (Posters/Late Breaking Results/...)
Bence Gergely, Han L. J. van der Maas, Gunter K. J. Maris, Maria Bolsinova
2022 J jnl
Comput. Sci. Educ.
Sally A. M. Hogenboom, Felienne F. J. Hermans, Han L. J. van der Maas
2022 C conf
ICCC
Claire E. Stevenson, Iris Smal, Matthijs Baas, Raoul P. P. P. Grasman, Han L. J. van der Maas
2022 J jnl
CoRR
Claire E. Stevenson, Iris Smal, Matthijs Baas, Raoul P. P. P. Grasman, Han L. J. van der Maas
2021 J jnl
J. Comput. Assist. Learn.
Susanne M. M. de Mooij, Maartje E. J. Raijmakers, Iroise Dumontheil, Natasha Z. Kirkham, Han L. J. van der Maas
2020 J jnl
Comput. Methods Programs Biomed.
Susanne M. M. de Mooij, Tessa F. Blanken, Raoul P. P. P. Grasman, Jennifer R. Ramautar, Eus J. W. van Someren, Han L. J. van der Maas
2020 J jnl
J. Complex Networks
Han L. J. van der Maas, Jonas Dalege, Lourens J. Waldorp
2019 B conf
EDM
Lu Ou, Abe D. Hofman, Vanessa R. Simmering, Timo Bechger, Gunter K. J. Maris, Han L. J. van der Maas
2018 J jnl
Comput. Educ.
Alexander O. Savi, Nienke M. Ruijs, Gunter K. J. Maris, Han L. J. van der Maas
2018 J jnl
J. Learn. Anal.
Matthieu J. S. Brinkhuis, Alexander O. Savi, Abe D. Hofman, Frederik Coomans, Han L. J. van der Maas, Gunter K. J. Maris
2018 J jnl
Int. J. Serious Games
Enkhbold Nyamsuren, Han L. J. van der Maas, Matthias Maurer
2017 J jnl
CoRR
Jonas Dalege, Denny Borsboom, Frenk van Harreveld, Han L. J. van der Maas
2017 J jnl
Top. Cogn. Sci.
Han L. J. van der Maas, Enkhbold Nyamsuren
2017 J jnl
CoRR
Jonas Dalege, Denny Borsboom, Frenk van Harreveld, Lourens J. Waldorp, Han L. J. van der Maas
2013 J jnl
J. Log. Lang. Inf.
Nina Gierasimczuk, Han L. J. van der Maas, Maartje E. J. Raijmakers
2013 B conf
CogSci
Gilles Dutilh, Benjamin Scheibehenne, Han L. J. van der Maas, Jörg Rieskamp
2012 J jnl
Top. Cogn. Sci.
Eric-Jan Wagenmakers, Han L. J. van der Maas, Simon Farrell
2012 conf
ESSLLI Logic & Cognition Workshop
Nina Gierasimczuk, Han L. J. van der Maas, Maartje E. J. Raijmakers
2011 J jnl
Cogn. Sci.
Gilles Dutilh, Eric-Jan Wagenmakers, Ingmar Visser, Han L. J. van der Maas
2011 J jnl
Comput. Educ.
Sharon Klinkenberg, M. Straatemeier, Han L. J. van der Maas
2003 J jnl
Cogn. Sci.
Hedderik van Rijn, Maarten van Someren, Han L. J. van der Maas
1996 J jnl
Biol. Cybern.
Maartje E. J. Raijmakers, Han L. J. van der Maas, Peter C. M. Molenaar
1990 J jnl
Neural Networks
Han L. J. van der Maas, Paul F. M. J. Verschure, Peter C. M. Molenaar
yara/README.md
← Index yara/README.md markdown
# YARA Rules Directory

This folder contains YARA rules for scanning binary samples.

## Setting Up YARA-Forge Rules

To use the YARA-Forge rules from [https://github.com/YARAHQ/yara-forge](https://github.com/YARAHQ/yara-forge):

```bash
# Download the latest release
cd /path/to/redb/yara
# wget https://github.com/YARAHQ/yara-forge/releases/latest/download/yara-forge-rules-core.zip
wget https://github.com/YARAHQ/yara-forge/releases/latest/download/yara-forge-rules-extended.zip

# Extract rules
# unzip yara-forge-rules-core.zip
unzip yara-forge-rules-extended.zip
```

Available packages:
- `yara-forge-rules-core.zip` - Core rules (~5,000 rules)
- `yara-forge-rules-extended.zip` - Extended rules (~10,000 rules)
- `yara-forge-rules-full.zip` - Full rules (~11,000+ rules)

## Pre-compiling Rules (Recommended for Production)

For large rulesets like YARA-Forge, pre-compiling rules significantly improves startup time:

```bash
# Pre-compile all rules into a single .yarac file
python -m redb.extractors.yara --compile

# Or specify custom paths
python -m redb.extractors.yara --compile --rules-path /path/to/rules --output /path/to/output.yarac
```

This creates `yara/compiled_rules.yarac` which is loaded automatically on subsequent runs.

### Performance Comparison

| Method | First Scan Startup | Subsequent Scans |
|--------|-------------------|------------------|
| Source files (.yar) | ~10-30 seconds (11k rules) | Instant (cached) |
| Pre-compiled (.yarac) | ~1-2 seconds | Instant (cached) |

## Directory Structure

```
yara/
├── README.md
├── .gitkeep
├── compiled_rules.yarac    # (optional) Pre-compiled rules
├── packages/               # YARA-Forge packages
│   └── core/
│       └── *.yar
└── custom/                 # Your custom rules
    └── my_rules.yar
```

Rules are loaded in this priority:
1. `compiled_rules.yarac` (if exists) - fastest
2. All `.yar` and `.yara` files recursively - compiles on first run

## Usage

### Scan with YARA only

```bash
# Scan local files
python start.py --path /path/to/samples -y --repo my_repo --index_prefix redb

# Scan S3 samples
python start.py --s3 --repo bazaar -y --index_prefix redb

# Dry-run (print results instead of storing in ClickHouse)
python start.py --path /path/to/samples -y --dry-run --repo test --index_prefix redb
```

### Scan already-analyzed samples

Run YARA on samples that were previously analyzed (already in `basic_properties`).
Deduplication is handled by the `yara_matches` table — samples already scanned are
automatically excluded before processing begins:

```bash
# Scan all analyzed macho samples with YARA
python start.py --analyzed --magika macho -y --index_prefix redb

# Scan all analyzed PE samples with YARA
python start.py --analyzed --magika pe -y --index_prefix redb

# Scan all analyzed samples (no filetype filter)
python start.py --analyzed -y --index_prefix redb
```

### Partition large YARA runs by date

Combine `--analyzed` with `--range` to partition millions of samples into
manageable batches. Only samples in `basic_properties` AND within the date
range (by `first_seen` in `catalog_samples`) are processed:

```bash
# Scan analyzed PE samples from Feb 2025
python start.py --range 2025-02-01 2025-02-28 --analyzed --magika pebin -y --index_prefix redb

# Scan analyzed PE samples from first week of March 2025
python start.py --range 2025-03-01 2025-03-08 --analyzed --magika pebin -y --index_prefix redb
```

YARA dedup still applies — re-running a range safely skips already-scanned samples.

### Combined Features + YARA

Run feature extraction and YARA scanning together on the same samples:

```bash
# Local files with features + YARA
python start.py --path /path/to/samples --with-yara --repo my_repo --index_prefix redb

# S3 samples with features + YARA
python start.py --s3 --repo bazaar --with-yara --index_prefix redb
```

### Pre-compile Rules

```bash
# Compile and save to default location (yara/compiled_rules.yarac)
python -m redb.extractors.yara --compile

# Compile with custom paths
python -m redb.extractors.yara --compile --rules-path ./my_rules --output ./compiled.yarac
```

### Sync Rules to Database

Before batch scanning, sync rules to ensure all rule metadata is stored:

```bash
# Sync rules to database
python -m redb.extractors.yara --sync-rules

# Sync with custom source collection name
python -m redb.extractors.yara --sync-rules --source-collection yara-forge-core

# Compile and sync in one command
python -m redb.extractors.yara --compile --sync-rules
```

## ClickHouse Table Schema

YARA data uses a **normalized schema** with two tables for efficient storage.

### Matches Table: `yara_matches`

Stores one row per sample-rule match (optimized with binary sha256 and rule_id):

| Column | Type | Description |
|--------|------|-------------|
| sha256 | FixedString(32) | Binary SHA256 (32 bytes, use `hex(sha256)` to display) |
| rule_id | UInt64 | Unique rule identifier (xxHash64 of canonical rule content) |
| rule_name | LowCardinality(String) | YARA rule name (denormalized for convenience) |
| scan_date | DateTime64(3, 'UTC') | Scan timestamp |
| match_strings | Array(String) | Matched string identifiers |

### Rules Table: `yara_rules`

Stores rule metadata once per unique rule (deduplicated by rule_id):

| Column | Type | Description |
|--------|------|-------------|
| rule_id | UInt64 | Unique rule identifier (xxHash64 of canonical rule content) |
| rule_name | String | YARA rule name |
| source_collection | LowCardinality(String) | Source collection (e.g., 'yara-forge-core', 'malpedia') |
| ingested_at | DateTime64(3, 'UTC') | When this rule was ingested |
| rule_text | String | Full rule source code |
| rule_meta | JSON | Rule metadata (author, description, reference, etc.) |
| rule_tags | Array(LowCardinality(String)) | Rule tags |

### Schema Benefits

- **Binary SHA256**: 32 bytes vs 64 bytes (50% storage savings on hash columns)
- **UInt64 rule_id**: Fast joins and lookups via integer key
- **Content-based rule_id**: xxHash64 of canonical rule content (excluding metadata) for deduplication
- **Denormalized rule_name**: Allows queries without joins for common use cases

### Example Queries

```sql
-- Get matches with hex sha256
SELECT
    hex(m.sha256) as sha256,
    m.rule_name,
    m.match_strings
FROM yara_matches m
WHERE m.sha256 = unhex('abc123...')

-- Join with rules for full metadata
SELECT
    hex(m.sha256) as sha256,
    m.rule_name,
    m.match_strings,
    r.rule_meta,
    r.source_collection
FROM yara_matches m
JOIN yara_rules r ON m.rule_id = r.rule_id
WHERE m.sha256 = unhex('abc123...')

-- Find all samples matching a specific rule
SELECT hex(sha256), scan_date
FROM yara_matches
WHERE rule_name = 'APT_Lazarus_Loader'
ORDER BY scan_date DESC
```

## Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `YARA_RULES_PATH` | Override the YARA rules directory | `yara/` |
| `YARA_COMPILED_RULES` | Compiled rules filename | `compiled_rules.yarac` |
| `YARA_SOURCE_COLLECTION` | Default source collection name | `default` |