R. M. Chandima Ratnayake

80 papers C 2Journal 8Unranked 70
YearRankTypeTitle / Venue / Authors
2025 conf
APMS (4)
Madushan Madhava Jayalath, R. M. Chandima Ratnayake, H. Niles Perera, Amila Thibbotuwawa
2024 conf
IEEM
Madushan Madhava Jayalath, H. Niles Perera, R. M. Chandima Ratnayake, Amila Thibbotuwawa
2024 conf
IEEM
Kartika Nur Alfina, R. M. Chandima Ratnayake
2024 conf
APMS (1)
Kartika Nur Alfina, R. M. Chandima Ratnayake
2024 conf
APMS (4)
W. Madushan Fernando, Amila Thibbotuwawa, R. M. Chandima Ratnayake, H. Niles Perera
2024 J jnl
IEEE Access
Attanayake Mudiyanselage Sakura Rancy Harshani Attanayake, R. M. Chandima Ratnayake, Tore Markeset
2024 conf
IEEM
W. Madushan Fernando, R. M. Chandima Ratnayake, H. Niles Perera, Amila Thibbotuwawa
2024 conf
IEEM
A. M. Sakura R. H. Attanayake, R. M. Chandima Ratnayake
2023 conf
IEEM
Roy Deddy Hasiholan Lumbantobing, R. M. Chandima Ratnayake, Togar M. Simatupang, Liane Okdinawati, Nur Budi Mulyono
2023 conf
APMS (4)
Madushan Madhava Jayalath, R. M. Chandima Ratnayake, H. Niles Perera, Amila Thibbotuwawa
2023 conf
IEEM
Roy Deddy Hasiholan Lumbantobing, R. M. Chandima Ratnayake, Togar M. Simatupang, Liane Okdinawati, Nur Budi Mulyono
2023 J jnl
Future Internet
A. M. Sakura R. H. Attanayake, R. M. Chandima Ratnayake
2023 conf
IEEM
Jovanska Arfianda Imran, R. M. Chandima Ratnayake, Liane Okdinawati
2023 conf
IEEM
Eleojo Samuel Ocheni, R. M. Chandima Ratnayake
2023 conf
IEEM
Puti F. Larasati, R. M. Chandima Ratnayake, Nur Budi Mulyono
2023 conf
IEEM
A. M. Sakura R. H. Attanayake, R. M. Chandima Ratnayake
2023 conf
APMS (2)
Kartika Nur Alfina, R. M. Chandima Ratnayake
2023 conf
IEEM
Kartika Nur Alfina, R. M. Chandima Ratnayake
2023 conf
IEEM
R. M. Oshadha B. Ratnayake, R. M. Chandima Ratnayake
2022 conf
IEEM
Kartika Nur Alfina, R. M. Chandima Ratnayake, Dermawan Wibisono, Mursyid Hasan Basri, Nur Budi Mulyono
2022 conf
IEEM
W. Madushan Fernando, Amila Thibbotuwawa, H. Niles Perera, R. M. Chandima Ratnayake
2022 conf
IEEM
Banusha Aruchunarasa, W. Madushan Fernando, H. Niles Perera, Amila Thibbotuwawa, R. M. Chandima Ratnayake
2022 conf
IEEM
R. M. Chandima Ratnayake
2022 conf
IEEM
A. M. Sakura R. H. Attanayake, R. M. Chandima Ratnayake
2022 conf
IEEM
A. Chandana Hemantha J. Thebuwena, R. M. Chandima Ratnayake
2022 conf
IEEM
A. M. Sakura R. H. Attanayake, R. M. Chandima Ratnayake
2022 conf
IEEM
Daria Larsson, R. M. Chandima Ratnayake
2021 conf
APMS (1)
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2021 conf
IEEM
Daria Larsson, R. M. Chandima Ratnayake, Arne Gildseth
2021 conf
IEEM
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2021 conf
APMS (1)
Daria Larsson, R. M. Chandima Ratnayake
2021 conf
IEEM
Daria Larsson, R. M. Chandima Ratnayake
2021 conf
APMS (1)
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2021 conf
IEEM
Ruwan M. Weerasinghe, R. M. Chandima Ratnayake, Dunstan C. Jayarathne
2021 conf
IEEM
Ine Skibenes, R. M. Chandima Ratnayake
2021 conf
INTAP
Sachin Bhardwaj, Arvind Keprate, R. M. Chandima Ratnayake
2021 conf
IEEM
Oshadhi K. Herath, Banusha Aruchunarasa, H. Niles Perera, R. M. Chandima Ratnayake
2021 conf
APMS (4)
Daria Larsson, Arne Gildseth, R. M. Chandima Ratnayake
2020 conf
IEEM
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2020 conf
IEEM
Mehdi Eskandarzade, R. M. Chandima Ratnayake, Meysam Najafi Ershadi
2020 conf
APMS (2)
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2020 conf
APMS (2)
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2020 conf
APMS (2)
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2019 conf
APMS (1)
R. M. Chandima Ratnayake, Arvind Keprate, Roman Wdowik
2019 conf
IEEM
Arvind Keprate, R. M. Chandima Ratnayake
2019 conf
IEEM
Roman Wdowik, R. M. Chandima Ratnayake
2019 conf
IEEM
R. M. Chandima Ratnayake
2019 conf
IEEM
Ragnhild Gjerde, R. M. Chandima Ratnayake, Samindi M. K. Samarakoon
2019 conf
IEEM
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2019 conf
IEEM
Maria A. Hjellvik, R. M. Chandima Ratnayake
2019 J jnl
Reliab. Eng. Syst. Saf.
Andika Rachman, R. M. Chandima Ratnayake
2019 conf
IEEM
Daria Biskupska, R. M. Chandima Ratnayake
2019 conf
APMS (2)
Roman Wdowik, R. M. Chandima Ratnayake
2019 conf
APMS (2)
Kartika Nur Alfina, R. M. Chandima Ratnayake
2019 conf
IEEM
Ville Isoherranen, R. M. Chandima Ratnayake
2018 conf
IEEM
Prashanth Sivaganesh, R. M. Chandima Ratnayake
2018 conf
IEEM
Marek Magdziak, R. M. Chandima Ratnayake
2018 conf
IEEM
R. M. Chandima Ratnayake
2018 conf
IEEM
Ruwan Weerasinghe, D. Buddika, R. M. Chandima Ratnayake
2018 conf
IEEM
Felix P. Santhiapillai, R. M. Chandima Ratnayake
2018 C conf
PRO-VE
Andika Rachman, R. M. Chandima Ratnayake
2018 conf
IEEM
Arvind Keprate, R. M. Chandima Ratnayake
2018 conf
IEEM
Andika Rachman, R. M. Chandima Ratnayake
2017 J jnl
Int. J. Prod. Res.
Dorota Stadnicka, R. M. Chandima Ratnayake
2017 C conf
PRO-VE
Dorota Stadnicka, Massimiliano Pirani, Andrea Bonci, R. M. Chandima Ratnayake, Sauro Longhi
2016 J jnl
Int. J. Inf. Decis. Sci.
A. M. N. D. B. Seneviratne, R. M. Chandima Ratnayake
2015 conf
IEEM
Dorota Stadnicka, R. M. Chandima Ratnayake
2015 conf
IEEM
Andika Rachman, R. M. Chandima Ratnayake
2015 conf
IEEM
Dorota Stadnicka, R. M. Chandima Ratnayake, Katarzyna Antosz
2015 conf
IEEM
R. M. Chandima Ratnayake, M. Osman Chaudry
2015 conf
IEEM
Dorota Stadnicka, R. M. Chandima Ratnayake
2015 J jnl
Reliab. Eng. Syst. Saf.
Samindi M. K. Samarakoon, R. M. Chandima Ratnayake
2015 conf
IEEM
Arvind Keprate, R. M. Chandima Ratnayake
2014 J jnl
Int. J. Data Anal. Tech. Strateg.
R. M. Chandima Ratnayake
2014 conf
APMS (1)
R. M. Chandima Ratnayake
2014 conf
APMS (3)
A. M. N. D. B. Seneviratne, R. M. Chandima Ratnayake
2014 conf
APMS (3)
R. M. Chandima Ratnayake, M. Amarathunga
2014 J jnl
Int. J. Appl. Decis. Sci.
R. M. Chandima Ratnayake
2014 conf
APMS (3)
A. M. N. D. B. Seneviratne, R. M. Chandima Ratnayake
2011 conf
APMS
Jawad Raza, R. M. Chandima Ratnayake
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` |