Han Li

37 papers Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neurocomputing
Liang Chen, Han Li, Peishu Wu, Liwei Hu, Tengpeng Chen, Nianyin Zeng
2025 J jnl
Neurocomputing
Weilong Tan, Hongyi Zhang, Yingbei Wang, Weimin Wen, Liang Chen, Han Li, Xingen Gao, Nianyin Zeng
2024 J jnl
IEEE CAA J. Autom. Sinica
Peishu Wu, Han Li, Liwei Hu, Jirong Ge, Nianyin Zeng
2024 J jnl
IEEE Trans. Comput. Soc. Syst.
Han Li, Zidong Wang, Chengbo Lan, Peishu Wu, Nianyin Zeng
2024 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Han Li, Zidong Wang, Chengbo Lan, Peishu Wu, Nianyin Zeng
2024 J jnl
IEEE CAA J. Autom. Sinica
Nianyin Zeng, Xinyu Li, Peishu Wu, Han Li, Xin Luo
2024 J jnl
Neurocomputing
Zheng Fang, Han Li, Liwei Hu, Nianyin Zeng
2024 J jnl
Expert Syst. Appl.
Jun Tang, Zidong Wang, Hongyi Zhang, Han Li, Peishu Wu, Nianyin Zeng
2024 J jnl
Neurocomputing
Han Li, Zheng Fang, Liwei Hu, Haonan Liu, Peishu Wu, Nianyin Zeng
2024 J jnl
IEEE Trans. Ind. Informatics
Nianyin Zeng, Peishu Wu, Yuqing Zhang, Han Li, Jingfeng Mao, Zidong Wang
2024 J jnl
Expert Syst. Appl.
Peishu Wu, Zidong Wang, Han Li, Nianyin Zeng
2024 J jnl
IEEE Trans. Instrum. Meas.
Baoping Xiong, Wensheng Chen, Han Li, Yinxi Niu, Nianyin Zeng, Zhenhua Gan, Yong Xu
2024 J jnl
IEEE Trans. Fuzzy Syst.
Han Li, Zidong Wang, Nianyin Zeng, Peishu Wu, Yurong Li
2024 J jnl
Comput. Biol. Medicine
Weilong Tan, Hongyi Zhang, Zidong Wang, Han Li, Xingen Gao, Nianyin Zeng
2024 J jnl
IEEE Trans. Instrum. Meas.
Baoping Xiong, Yiran Chang, Nianyin Zeng, Yinxi Niu, Hui Zeng, Han Li, Guojun Mao, Yong Xu
2024 J jnl
Knowl. Based Syst.
Liwei Hu, Zidong Wang, Han Li, Peishu Wu, Jingfeng Mao, Nianyin Zeng
2023 J jnl
Neural Comput. Appl.
Nianyin Zeng, Han Li, Yonghong Peng
2023 J jnl
Signal Process. Image Commun.
Hongyi Zhang, Jun Tang, Peishu Wu, Han Li, Nianyin Zeng
2023 conf
ICDM (Workshops)
Peishu Wu, Haipeng Xu, Meilin Liu, Han Li, Hongfu Zeng, Huihua Hu, Nianyin Zeng
2023 J jnl
Comput. Biol. Medicine
Meilin Liu, Zidong Wang, Han Li, Peishu Wu, Fuad E. Alsaadi, Nianyin Zeng
2023 J jnl
Comput. Biol. Medicine
Peishu Wu, Zidong Wang, Baixun Zheng, Han Li, Fuad E. Alsaadi, Nianyin Zeng
2023 J jnl
Neurocomputing
Yuqing Zhang, Peishu Wu, Han Li, Yurong Liu, Fuad E. Alsaadi, Nianyin Zeng
2023 J jnl
Neurocomputing
Juan Li, Weimei Chen, Yihao Zhu, Kui Xuan, Han Li, Nianyin Zeng
2023 J jnl
Comput. Biol. Medicine
Tingyi Xie, Zidong Wang, Han Li, Peishu Wu, Huixiang Huang, Hongyi Zhang, Fuad E. Alsaadi, Nianyin Zeng
2023 J jnl
Int. J. Syst. Sci.
Han Li, Haonan Liu, Chengbo Lan, Yiqi Yin, Peishu Wu, Cheng Yan, Nianyin Zeng
2022 J jnl
IEEE Trans. Instrum. Meas.
Nianyin Zeng, Peishu Wu, Zidong Wang, Han Li, Weibo Liu, Xiaohui Liu
2022 J jnl
Comput. Biol. Medicine
Han Li, Peishu Wu, Zidong Wang, Jingfeng Mao, Fuad E. Alsaadi, Nianyin Zeng
2022 J jnl
Neurocomputing
Han Li, Juan Li, Peishu Wu, Yancheng You, Nianyin Zeng
2022 J jnl
Int. J. Syst. Sci.
Han Li, Peishu Wu, Nianyin Zeng, Yurong Liu, Fuad E. Alsaadi
2022 J jnl
Expert Syst. Appl.
Han Li, Nianyin Zeng, Peishu Wu, Kathy Clawson
2022 J jnl
Image Vis. Comput.
Peishu Wu, Han Li, Nianyin Zeng, Fengping Li
2021 J jnl
Neurocomputing
Nianyin Zeng, Dandan Song, Han Li, Yancheng You, Yurong Liu, Fuad E. Alsaadi
2021 J jnl
Neurocomputing
Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu
2019 J jnl
IEEE Access
Baoping Xiong, Nianyin Zeng, Han Li, Yuan Yang, Yurong Li, Meilan Huang, Wuxiang Shi, Min Du, Yudong Zhang
2019 J jnl
IEEE Access
Zhenhua Gan, Nianyin Zeng, Fumin Zou, Jianguo Chen, Min Du, Lyu-Chao Liao, Han Li, Yudong Zhang
2019 J jnl
IEEE Access
Nianyin Zeng, Han Li, Yurong Li, Xin Luo
2019 J jnl
IEEE Access
Zhenhua Gan, Fumin Zou, Nianyin Zeng, Baoping Xiong, Lyu-Chao Liao, Han Li, Xin Luo, Min Du
tests/conftest.py
← Index tests/conftest.py python
"""
Pytest configuration and shared fixtures for REDB unit tests.
"""
import os
import sys
import pytest
import logging
import tempfile
import hashlib
from unittest.mock import Mock, MagicMock, patch
from pathlib import Path

# Add the project root to the path
sys.path.insert(0, str(Path(__file__).parent.parent))

# Test files directory
TEST_FILES_DIR = Path(__file__).parent.parent / "test_files"


# ============================================================================
# Logger Fixtures
# ============================================================================

@pytest.fixture
def mock_logger():
    """Create a mock logger for testing."""
    logger = Mock()
    logger.debug = Mock()
    logger.info = Mock()
    logger.warning = Mock()
    logger.error = Mock()
    return logger


@pytest.fixture
def real_logger():
    """Create a real logger for testing with debug output."""
    logger = logging.getLogger("test_logger")
    logger.setLevel(logging.DEBUG)
    if not logger.handlers:
        handler = logging.StreamHandler()
        handler.setLevel(logging.DEBUG)
        formatter = logging.Formatter('%(levelname)s - %(message)s')
        handler.setFormatter(formatter)
        logger.addHandler(handler)
    return logger


# ============================================================================
# Test Binary Files Fixtures
# ============================================================================

@pytest.fixture
def elf_binary_path():
    """Path to the ELF test binary."""
    path = TEST_FILES_DIR / "hello"
    if not path.exists():
        pytest.skip(f"Test file not found: {path}")
    return str(path)


@pytest.fixture
def elf_advanced_binary_path():
    """Path to the advanced ELF test binary."""
    path = TEST_FILES_DIR / "hello_advanced"
    if not path.exists():
        pytest.skip(f"Test file not found: {path}")
    return str(path)


@pytest.fixture
def pe_binary_path():
    """Path to the PE test binary (.NET PE)."""
    path = TEST_FILES_DIR / "d8637bdbcfc9112fcb1f0167b398e771"
    if not path.exists():
        pytest.skip(f"Test file not found: {path}")
    return str(path)


@pytest.fixture
def elf_binary_content(elf_binary_path):
    """Read the ELF test binary content."""
    with open(elf_binary_path, "rb") as f:
        return f.read()


@pytest.fixture
def pe_binary_content(pe_binary_path):
    """Read the PE test binary content."""
    with open(pe_binary_path, "rb") as f:
        return f.read()


# ============================================================================
# Temporary Files Fixtures
# ============================================================================

@pytest.fixture
def temp_binary_file():
    """Create a temporary binary file for testing."""
    with tempfile.NamedTemporaryFile(delete=False, suffix=".bin") as f:
        # Write some test data
        f.write(b"\x7fELF" + b"\x00" * 100 + b"test data")
        temp_path = f.name

    yield temp_path

    # Cleanup
    if os.path.exists(temp_path):
        os.unlink(temp_path)


@pytest.fixture
def temp_text_file():
    """Create a temporary text file for testing."""
    with tempfile.NamedTemporaryFile(delete=False, suffix=".txt", mode="w") as f:
        f.write("This is a test file with some text content.")
        temp_path = f.name

    yield temp_path

    # Cleanup
    if os.path.exists(temp_path):
        os.unlink(temp_path)


@pytest.fixture
def temp_pe_like_file():
    """Create a temporary file with PE-like header for testing."""
    with tempfile.NamedTemporaryFile(delete=False, suffix=".exe") as f:
        # MZ header
        f.write(b"MZ" + b"\x00" * 58)
        # e_lfanew pointing to PE header at offset 64
        f.write(b"\x40\x00\x00\x00")
        # PE signature at offset 64
        f.write(b"PE\x00\x00")
        # Minimal COFF header (20 bytes)
        f.write(b"\x4c\x01")  # Machine (i386)
        f.write(b"\x01\x00")  # NumberOfSections
        f.write(b"\x00" * 16)  # Rest of COFF header
        temp_path = f.name

    yield temp_path

    # Cleanup
    if os.path.exists(temp_path):
        os.unlink(temp_path)


# ============================================================================
# Mock Exporter Fixtures
# ============================================================================

@pytest.fixture
def mock_print_exporter(mock_logger):
    """Create a mock PrintExporter."""
    from redb.extractors.database_exporters import PrintExporter
    exporter = PrintExporter(mock_logger, "test_index")
    return exporter


@pytest.fixture
def mock_elasticsearch_exporter(mock_logger):
    """Create a mock ElasticsearchExporter with mocked client."""
    with patch('redb.settings.get_elasticsearch_client') as mock_client:
        mock_client.return_value = Mock()
        from redb.extractors.database_exporters import ElasticsearchExporter
        exporter = ElasticsearchExporter(mock_logger, "test_index")
        return exporter


@pytest.fixture
def mock_clickhouse_exporter(mock_logger):
    """Create a mock ClickHouseExporter with mocked client."""
    with patch('redb.settings.create_clickhouse_client') as mock_client:
        mock_client.return_value = Mock()
        from redb.extractors.database_exporters import ClickHouseExporter
        exporter = ClickHouseExporter(mock_logger, "test_index", client=Mock())
        return exporter


# ============================================================================
# Mock Settings Fixtures
# ============================================================================

@pytest.fixture
def mock_settings():
    """Mock the redb.settings module."""
    with patch.multiple(
        'redb.settings',
        ELASTIC_BINARIES_COLLECTION="test_collection",
        get_elasticsearch_client=Mock(return_value=Mock()),
        create_clickhouse_client=Mock(return_value=Mock()),
    ):
        yield


# ============================================================================
# Hash Fixtures
# ============================================================================

@pytest.fixture
def known_hashes(elf_binary_content):
    """Compute known hashes for the ELF test binary."""
    return {
        'md5': hashlib.md5(elf_binary_content).hexdigest(),
        'sha1': hashlib.sha1(elf_binary_content).hexdigest(),
        'sha256': hashlib.sha256(elf_binary_content).hexdigest(),
    }


@pytest.fixture
def pe_known_hashes(pe_binary_content):
    """Compute known hashes for the PE test binary."""
    return {
        'md5': hashlib.md5(pe_binary_content).hexdigest(),
        'sha1': hashlib.sha1(pe_binary_content).hexdigest(),
        'sha256': hashlib.sha256(pe_binary_content).hexdigest(),
    }


# ============================================================================
# Sample Data Fixtures
# ============================================================================

@pytest.fixture
def sample_binary_data():
    """Sample binary data for entropy and hash testing."""
    return b"\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f" * 16


@pytest.fixture
def high_entropy_data():
    """High entropy random-like data for testing."""
    import random
    random.seed(42)  # Reproducible
    return bytes(random.randint(0, 255) for _ in range(256))


@pytest.fixture
def low_entropy_data():
    """Low entropy repetitive data for testing."""
    return b"\x00" * 256


# ============================================================================
# PE Object Fixtures
# ============================================================================

@pytest.fixture
def pe_object(pe_binary_path):
    """Create a pefile PE object for testing."""
    import pefile
    try:
        pe = pefile.PE(pe_binary_path)
        yield pe
        pe.close()
    except Exception as e:
        pytest.skip(f"Failed to parse PE file: {e}")


# ============================================================================
# ELF Object Fixtures
# ============================================================================

@pytest.fixture
def elf_object(elf_binary_path):
    """Create an ELFFile object for testing."""
    from elftools.elf.elffile import ELFFile
    try:
        with open(elf_binary_path, 'rb') as f:
            elf = ELFFile(f)
            # We need to keep the file open for ELFFile to work
            yield elf
    except Exception as e:
        pytest.skip(f"Failed to parse ELF file: {e}")


# ============================================================================
# Dataclass Fixtures
# ============================================================================

@pytest.fixture
def sample_hash_dataclass():
    """Create a sample Hash dataclass."""
    from redb.models.dataclasses import Hash
    return Hash(
        md5="d41d8cd98f00b204e9800998ecf8427e",
        sha1="da39a3ee5e6b4b0d3255bfef95601890afd80709",
        sha256="e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
    )


@pytest.fixture
def sample_hashes_dataclass():
    """Create a sample Hashes dataclass."""
    from redb.models.dataclasses import Hashes
    return Hashes(
        md5="d41d8cd98f00b204e9800998ecf8427e",
        sha1="da39a3ee5e6b4b0d3255bfef95601890afd80709",
        sha256="e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
        ssdeep_hash="3::",
        tlsh_hash=""
    )


@pytest.fixture
def sample_basic_properties():
    """Create a sample BasicProperties dataclass."""
    from redb.models.dataclasses import BasicProperties
    return BasicProperties(
        filename="test.exe",
        sample_name="test.exe",
        filesize=1024,
        filetype="PE32 executable",
        filetype_mime="application/x-dosexec",
        filetype_magika="pebin",
        file_entropy=6.5
    )


# ============================================================================
# Utility Functions for Tests
# ============================================================================

def compute_entropy(data):
    """Compute entropy of data for verification in tests."""
    import math
    from collections import Counter

    if not data:
        return 0.0

    if isinstance(data, str):
        counts = Counter(data)
        frequencies = (i / len(data) for i in counts.values())
        return -sum(f * math.log(f, 2) for f in frequencies)
    else:
        occurrences = Counter(bytearray(data))
        entropy = 0
        for x in occurrences.values():
            p_x = float(x) / len(data)
            entropy -= p_x * math.log(p_x, 2)
        return entropy


# Make the function available as a fixture
@pytest.fixture
def entropy_calculator():
    """Return the entropy calculation function."""
    return compute_entropy


# ============================================================================
# Skip Markers
# ============================================================================

# Mark tests that require external tools
requires_die = pytest.mark.skipif(
    not os.path.exists("/usr/bin/diec") and not os.path.exists("/usr/local/bin/diec"),
    reason="Detect It Easy (diec) not installed"
)

requires_capa = pytest.mark.skipif(
    not os.path.exists("/usr/bin/capa") and not os.path.exists("/usr/local/bin/capa"),
    reason="capa not installed"
)

requires_floss = pytest.mark.skipif(
    not os.path.exists("/usr/bin/floss") and not os.path.exists("/usr/local/bin/floss"),
    reason="floss not installed"
)