Haiqing Liu

29 papers Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Vis. Comput.
Yuehao Wang, Haiqing Liu, Lei Yu, Mengmeng Zhang, Haonan Wang
2025 J jnl
Qual. Reliab. Eng. Int.
Yongliang Yuan, Qingkang Yang, Guohu Wang, Jianji Ren, Zhenxi Wang, Feng Qiu, Kunpeng Li, Haiqing Liu
2025 J jnl
Computing
Hongxing Peng, Shuxia Jiang, Jianji Ren, Haiqing Liu, Yongliang Yuan, Yun Xin, Yanan Li, Yunfeng Chen
2025 J jnl
Entropy
Fuyang Guo, Haiqing Liu, Mengmeng Zhang, Mengyuan Jing, Xiaolong Gong
2025 J jnl
Biomed. Signal Process. Control.
Lingfeng Li, Qingling Cai, Zhuo Wu, Haiqing Liu
2024 conf
ICMLCA
Wei Wang, Bo Sun, Haiqing Liu, Lei Guo
2023 J jnl
Sensors
Rui Zhang, Haiqing Liu, Kunmin Teng
2023 conf
SPCNC
Zhonghao Yin, Haiqing Liu, Xiao Lu
2023 J jnl
Appl. Artif. Intell.
Jianji Ren, Yuming Liu, Yongliang Yuan, Haiyan Yan, Haiqing Liu
2022 J jnl
Concurr. Comput. Pract. Exp.
Haiqing Liu, Ming Ai, Rong Huang, Rixuan Qiu, Yuancheng Li
2021 J jnl
J. Inf. Process. Syst.
Hao Guo, Haiqing Liu, Shengli Wang, Yu Zhang
2021 J jnl
J. Intell. Fuzzy Syst.
Haiqing Liu, Daoxing Li, Yuancheng Li
2021 J jnl
Neural Process. Lett.
Haiqing Liu, Daoxing Li, Yuancheng Li
2021 conf
ICAIIS
Hao Guo, Haiqing Liu, Shengli Wang, Ruixue Liu, Lu Jin
2021 J jnl
IEEE Trans. Intell. Transp. Syst.
Haiqing Liu, Kunmin Teng, Laxmisha Rai, Jianping Xing
2020 J jnl
Int. J. Interact. Mob. Technol.
Laxmisha Rai, Zhiyuan Wang, Amila Rodrigo, Zhaopeng Deng, Haiqing Liu
2020 J jnl
Sensors
Zheng Zhang, Haiqing Liu, Laxmisha Rai, Siyi Zhang
2019 J jnl
IEEE Access
Haiqing Liu, Wenli Liang, Laxmisha Rai, Kunmin Teng, Shengli Wang
2019 J jnl
IEEE Access
Haiqing Liu, Yan Zhang, Shiqiang Zheng, Yuancheng Li
2019 J jnl
IEEE Access
Kunmin Teng, Haiqing Liu, Laxmisha Rai
2018 J jnl
Sensors
Haiqing Liu, Na Li, Deyong Guan, Laxmisha Rai
2018 J jnl
Adv. Multim.
Haiqing Liu, Shiqiang Zheng, Shuhua Hao, Yuancheng Li
2017 J jnl
Adv. Eng. Softw.
Zhongwei Zhao, Haiqing Liu, Bing Liang
2016 J jnl
Wirel. Pers. Commun.
Licai Yang, Haiqing Liu
2014 J jnl
J. Commun.
Yao Zhang, Licai Yang, Haiqing Liu, Lei Wu
2014 J jnl
Int. J. Online Eng.
Haiqing Liu, Licai Yang, Yao Zhang, Lei Wu
2012 conf
ICDCS Workshops
Weigang Wu, Haiqing Liu, Hejun Wu
2010 conf
ACFIE
Haiqing Liu, Jinli Wang, Guijun Wang
2008 conf
ICESS
Bin Zeng, Jun Wei, Haiqing Liu
redb/extractors/elf_extractors/elf_dependencies.py
← Index redb/extractors/elf_extractors/elf_dependencies.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Dict

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFDependency


class ELFDependencyExtractor(ELFExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        elf=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            elf,
        )
        self.elf_dependencies = []
        self.elastic_index = self.index_prefix + "-elf_dependencies"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _map_dependency_type(self, dt_tag_str: str) -> int:
        """Map dynamic tag string to enum value."""
        type_map = {
            'DT_NEEDED': 1,
            'DT_SONAME': 14,
            'DT_RPATH': 15,
            'DT_RUNPATH': 29
        }
        return type_map.get(dt_tag_str, 0)

    def _extract_dynamic_dependencies(self, elf) -> List[Dict]:
        """Extract dependencies from the dynamic section."""
        dependencies = []

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                self.log.debug("No .dynamic section found")
                return dependencies

            # Iterate through dynamic tags
            for tag in dynamic_section.iter_tags():
                dt_tag = tag.entry.d_tag

                # Handle different dependency types
                if dt_tag == 'DT_NEEDED':
                    # Required library
                    dependency_name = tag.needed
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_NEEDED'),
                        dependency_type_str='NEEDED'
                    ))

                elif dt_tag == 'DT_SONAME':
                    # Shared object name
                    dependency_name = tag.soname
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_SONAME'),
                        dependency_type_str='SONAME'
                    ))

                elif dt_tag == 'DT_RPATH':
                    # Runtime library search path
                    dependency_name = tag.rpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RPATH'),
                        dependency_type_str='RPATH'
                    ))

                elif dt_tag == 'DT_RUNPATH':
                    # Runtime library search path (newer)
                    dependency_name = tag.runpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RUNPATH'),
                        dependency_type_str='RUNPATH'
                    ))

        except Exception as e:
            self.log.error(f"Error extracting dynamic dependencies: {e}")

        return dependencies

    def tag(self):
        return Tag.ELF_DEPENDENCIES.value if hasattr(Tag, 'ELF_DEPENDENCIES') else "elf_dependencies"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                # Extract dependencies - returns list of ELFDependency dataclasses
                dependencies = self._extract_dynamic_dependencies(elf)
                return dependencies

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_dependencies = result
            return self.elf_dependencies

        except Exception as e:
            self.log.error(f"Error extracting ELF dependencies {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_dependencies
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no dependencies (e.g., statically linked binary)
                # None is reserved for actual errors

                # Prepare data arrays for all dependencies
                data = []
                current_time = datetime.now(timezone.utc)
                for dep in self.elf_dependencies:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        dep.dependency_name,
                        dep.dependency_type,
                        dep.dependency_type_str,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'dependency_name', 'dependency_type', 'dependency_type_str',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NEEDED'=1, 'SONAME'=14, 'RPATH'=15, 'RUNPATH'=29)",
                    'LowCardinality(String)',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

    def get_clickhouse_table(self) -> str:
        return "redb_elf_dependencies"