Ikuko Nishikawa

35 papers B 7C 1Journal 6Unranked 21
YearRankTypeTitle / Venue / Authors
2024 C conf
ICPRAM
Carlos E. López Fortín, Ikuko Nishikawa
2024 B conf
IJCNN
Masaki Nishimura, Takaya Ueda, Eisuke Ito, Ikuko Nishikawa
2022 conf
ICANN (2)
Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa
2021 B conf
IJCNN
Seita Kono, Takaya Ueda, Enrique Arriaga-Varela, Ikuko Nishikawa
2020 B conf
IJCNN
Takaya Ueda, Ikuko Nishikawa
2020 conf
ICANN (1)
Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa
2019 conf
ICNC-FSKD
Takaya Ueda, Masataka Seo, Yukako Tohsato, Ikuko Nishikawa
2019 conf
ICNC-FSKD
Yuki Kimura, Takaya Ueda, Seo Masataka, Yukako Tohsato, Ikuko Nishikawa
2019 conf
ICNC-FSKD
Yu Yamane, Masataka Seo, Ikuko Nishikawa
2018 conf
ICNC-FSKD
Takaya Ueda, Masataka Seo, Ikuko Nishikawa
2018 conf
ICANN (3)
Takaya Ueda, Masataka Seo, Ikuko Nishikawa
2017 J jnl
J. Comput. Biol.
Sihai Yang, Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
2016 J jnl
IPSJ Trans. Comput. Vis. Appl.
Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
2015 conf
GCCE
Supaphon Kamon, Tung Duc Nguyen, Tomohiro Harada, Ruck Thawonmas, Ikuko Nishikawa
2015 conf
ACPR
Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen
2014 conf
IDT/IIMSS/STET
Masayoshi Suzuki, Ryuji Nakatani, Ikuko Nishikawa
2013 conf
BMEI
Tomoki Ishino, Ikuko Nishikawa, Yukako Tohsato, Satoshi Fukuchi, Ken Nishikawa
2012 J jnl
Comput. Intell. Neurosci.
Yen-Wei Chen, Ikuko Nishikawa, Shinichi Tamura, Bao-Liang Lu, Huiyan Jiang
2012 J jnl
Comput. Intell. Neurosci.
Hidetoshi Ikeno, Tomoki Kazawa, Shigehiro Namiki, Daisuke Miyamoto, Yohei Sato, Stephan Shuichi Haupt, Ikuko Nishikawa, Ryohei Kanzaki
2009 conf
IIH-MSP
Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa
2009 conf
IIH-MSP
Chu-Zheng Wang, Xian-Hua Han, Masahiro Ito, Ikuko Nishikawa, Yen-Wei Chen
2008 conf
ISDA (3)
Keita Hamahata, Tadahiro Taniguchi, Kazutoshi Sakakibara, Ikuko Nishikawa, Kazuma Tabuchi, Tetsuo Sawaragi
2008 conf
IIH-MSP
Shingo Takemura, Xian-Hua Han, Yen-Wei Chen, Kazuhiro Ito, Ikuko Nishikawa, Masahiro Ito
2008 conf
ISDA (3)
Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa
2008 conf
ICONIP (1)
Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa
2007 B conf
IJCNN
Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara
2007 conf
KES (2)
Yen-Wei Chen, Xuemei Yang, Masahiro Ito, Ikuko Nishikawa
2007 conf
KES (2)
Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Kazutoshi Sakakibara, Masahiro Ito
2007 conf
IIH-MSP
Xuemei Yang, Yen-Wei Chen, Masahiro Ito, Ikuko Nishikawa
2006 B conf
IJCNN
Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara
2006 conf
KES (2)
Ikuko Nishikawa, Hirotaka Sakamoto, Ikue Nouno, Takeshi Iritani, Kazutoshi Sakakibara, Masahiro Ito
2005 B conf
IJCNN
Ikuko Nishikawa, Kazutoshi Sakakibara, Takeshi Iritani, Yasuaki Kuroe
2005 J jnl
Int. J. Neural Syst.
Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara, Yasuaki Kuroe
2004 B conf
ICONIP
Ikuko Nishikawa, Yasuaki Kuroe
1993 J jnl
Biol. Cybern.
Tsuyoshi Chawanya, Toshio Aoyagi, Ikuko Nishikawa, Koji Okuda, Yoshiki Kuramoto
README.md
← Index README.md markdown
# redb
RationalEdge Samples DB

A malware analysis framework that extracts features from binary files (PE, ELF, Mach-O, APK) and stores them in ClickHouse for analysis.

## Quick Start

```bash
# Setup
source venv/bin/activate
pip install -r requirements.txt

# Process local files
python start.py --path /path/to/samples --repo test --index_prefix redb
```

## Usage Modes

### Local Mode
Process files from local filesystem:

```bash
# Single file or directory
python start.py --path /path/to/binary --repo test --index_prefix redb

# From a text file with paths (one per line)
python start.py --path /path/to/filelist.txt --repo test --index_prefix redb
```

### S3 Mode
Process samples from S3 storage based on catalog queries:

```bash
# By repository
python start.py --s3 --repo bazaar --index_prefix redb

# By repository with notes filter
python start.py --s3 --repo vx-itw --s3-notes "ITW.0138" --index_prefix redb

# By filetype (magika) - all ELF samples across all repos
python start.py --s3 --magika elf --index_prefix redb

# By filetype with repository filter
python start.py --s3 --repo bazaar --magika elf --index_prefix redb
```

### Date-Based Mode
Process samples by first_seen date from catalog:

```bash
# Single date (all samples first seen on Jan 15, 2025)
python start.py --date 2025-01-15 --index_prefix redb

# Date with repository filter
python start.py --date 2025-01-15 --repo bazaar --index_prefix redb

# Date range (inclusive)
python start.py --range 2025-01-01 2025-01-31 --index_prefix redb

# Date range with repository and notes filters
python start.py --range 2025-01-01 2025-01-31 --repo malshare --s3-notes "batch1" --index_prefix redb

# Date range with filetype filter
python start.py --range 2025-01-01 2025-01-31 --magika pebin --index_prefix redb
```

### S3-Solo Mode
Process a single sample by S3 key:

```bash
python start.py --s3-solo "09/f7/09f7d02a...hash.zip" --index_prefix redb
```

## Analysis Options

### Feature Extraction (default)
Runs all extractors to extract features from binaries:

```bash
python start.py --s3 --repo bazaar --index_prefix redb
```

### Specific Modules
Run only specific extractors:

```bash
python start.py --path /path/to/binary --repo test --index_prefix redb \
    --modules "BasicPropertiesExtractor,PEFeaturesExtractor,HashExtractor"
```

Available modules:
- **General**: `BasicPropertiesExtractor`, `HashExtractor`, `DIEExtractor`, `CAPAExtractor`
- **PE**: `PEFeaturesExtractor`, `PEImportExtractor`, `PEResourceExtractor`, `PEOverlayExtractor`, `PESectionExtractor`, `PESignatureExtractor`, `PEDotNetExtractor`, `PEInconstistencyTestsExtractor`, `PEExtraFindings`
- **ELF**: `ELFFeaturesExtractor`, `ELFSegmentExtractor`, `ELFSectionExtractor`, `ELFDependencyExtractor`, `ELFSymbolExtractor`, `ELFImportExtractor`, `ELFExportExtractor`, `ELFRelocationExtractor`, `ELFNotesExtractor`
- **Mach-O**: `MachOFeaturesExtractor`, `MachOSegmentExtractor`, `MachOImportExtractor`, `MachOExportExtractor`, `MachODylibExtractor`, `MachOSignatureExtractor`, `MachOSimilarityHashExtractor`
- **APK**: `APKFeaturesExtractor`, `APKManifestExtractor`, `APKPermissionsExtractor`, `APKSignatureExtractor`, `APKDexExtractor`, `APKResourceExtractor`, `APKNativeLibExtractor`, `APKInconsistencyTestsExtractor`
- **JavaScript**: `JSFeaturesExtractor`, `JSSuspiciousAPIsExtractor`, `JSStringsExtractor`, `JSDeobfuscationExtractor`, `JSContentExtractor`

**Note:** Using `--modules` with specific extractors respects the normal deduplication check. Add `--force` to reprocess samples already in the database.

### Analyzed Samples Mode
Process samples that are already in the database (from `basic_properties`). Useful for decompiling or re-running specific modules on previously analyzed samples:

```bash
# Decompile all already-analyzed samples that haven't been disassembled yet
python start.py --analyzed --index_prefix redb --decompile

# Decompile only ELF samples that were already analyzed
python start.py --analyzed --magika elf --index_prefix redb --decompile

# Re-run a specific extractor on already-analyzed samples
python start.py --analyzed --index_prefix redb --modules "MachOFeaturesExtractor"

# Force decompile ALL analyzed samples (even already-disassembled ones)
python start.py --analyzed --index_prefix redb --decompile --force

# Re-run a specific decompiler module on only already-disassembled samples
python start.py --analyzed --index_prefix redb --decompile --rerun --decompile-modules cfg
```

When combined with `--decompile`, the `--analyzed` flag has three behaviors:

| Flags | Source | Description |
|-------|--------|-------------|
| `--analyzed --decompile` | `basic_properties` minus `disassembled` | New samples only (first-time decompilation) |
| `--analyzed --decompile --force` | All of `basic_properties` | Re-run everything from scratch (e.g., new binja version) |
| `--analyzed --decompile --rerun` | Only `disassembled` table | Re-run on already-disassembled samples only (e.g., updated CFG module) |

The `--rerun` flag is particularly useful with `--decompile-modules` to selectively re-run a single module without reprocessing the full pipeline.

### Force Reprocessing
By default, samples already in the database are skipped. Use `--force` to reprocess them:

```bash
# Force full reprocessing of all samples
python start.py --s3 --repo bazaar --index_prefix redb --force

# Re-run a specific extractor on already-processed samples
python start.py --s3 --repo bazaar --index_prefix redb --modules "MachOFeaturesExtractor" --force

# Force YARA rescan (e.g., after updating rules)
python start.py --s3 --magika elf --index_prefix redb --yara --force
```

`--force` works across all modes: feature extraction, decompilation, and YARA scanning. ReplacingMergeTree handles deduplication, so reprocessed data cleanly replaces existing rows.

### Decompilation Mode
Run Binary Ninja decompilation only:

```bash
python start.py --s3 --repo bazaar --index_prefix redb --decompile
```

#### Selective Decompiler Modules
Run only specific decompiler sub-modules instead of the full pipeline:

```bash
# Run only strings extraction (fastest - skips per-function analysis)
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules strings

# Run disassembly and CFG analysis only
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules disassembly,cfg

# Run multiple modules
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules decompilation,disassembly,llil
```

Available decompiler modules:
- **decompilation** — High-level IL (HLIL) decompiled output → `code_binja_decompiled_functions_*` tables
- **disassembly** — Low-level assembly representation → `code_binja_disassembled_functions_*` tables
- **cfg** — Control flow graph analysis → `code_binja_cfg_functions` table
- **llil** — Low-level intermediate language → `code_binja_llil_functions_*` tables
- **strings** — Binary string extraction → `code_binja_strings_raw` table

**IOC extraction** runs automatically when `decompilation` or `strings` is selected (it consumes their in-memory results). It is skipped for modules like `cfg` or `disassembly` that don't produce IOC-relevant data.

Default is `all` (runs every module). Requires `-d/--decompile` flag.

### YARA Scanning
Run YARA rules against samples:

```bash
# YARA scanning only (skips already-scanned samples by default)
python start.py --s3 --magika elf --index_prefix redb --yara

# Force rescan all samples (e.g., after updating YARA rules)
python start.py --s3 --magika elf --index_prefix redb --yara --force

# Feature extraction + YARA scanning combined
python start.py --s3 --repo bazaar --index_prefix redb --with-yara
```

By default, `--yara` skips samples that already have matches in the `yara_matches` table. Use `--force` to rescan everything (e.g., after updating YARA rules).

### Dry Run Mode
Print results instead of uploading to database:

```bash
python start.py --path /path/to/binary --repo test --index_prefix redb --dry-run
```

## Environment Variables

See `.env.example` for all configuration options:

| Variable | Description |
|----------|-------------|
| `CLICKHOUSE_HOST` | ClickHouse server host |
| `CLICKHOUSE_PORT` | ClickHouse server port (default: 8123) |
| `CLICKHOUSE_USER` | ClickHouse username |
| `CLICKHOUSE_PASSWORD` | ClickHouse password |
| `S3_ENDPOINT` | S3/MinIO endpoint |
| `S3_ACCESS_KEY` | S3 access key |
| `S3_SECRET_KEY` | S3 secret key |
| `S3_BUCKET` | S3 bucket name |
| `INDEX_PREFIX` | Table prefix for ClickHouse (default: redb) |
| `SUPPORTED_FORMATS` | File formats to query (default: `['pebin']`) |
| `BATCH_SIZE` | Files per batch (default: 1000) |
| `REDB_TIMEOUT` | Worker timeout in seconds (default: 600) |
| `DECOMPILE_WORKER_TIMEOUT` | Decompile timeout (default: 2700) |

## Filtering Options Summary

| Option | Description | Standalone | With --repo | With --date/--range |
|--------|-------------|------------|-------------|---------------------|
| `--repo` | Filter by repository | Required for --s3 (unless --magika) | - | Optional |
| `--s3-notes` | Filter by notes field | No | Yes | Yes |
| `--magika` | Filter by filetype | Yes (queries all repos) | Yes | Yes |
| `--date` | Filter by single date | Yes | Yes | - |
| `--range` | Filter by date range | Yes | Yes | - |
| `--analyzed` | Process already-analyzed samples | Yes | N/A | N/A |