Xiaodong Xu

58 papers C 7Misc 1Journal 49Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Artif. Intell.
Zhen Feng, Biao Luo, Hanxiao Li, Xiaodong Xu, Lin Xiao, Yuqian Zhao, Chunhua Yang, Weihua Gui
2026 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yuhao Zhou, Jingyi Sun, Biao Luo, Xiaodong Xu
2026 J jnl
Neurocomputing
Zihang Xu, Yu Xiao, Yuan Yuan, Xiaodong Xu, Biao Luo
2025 J jnl
IEEE Trans. Emerg. Top. Comput. Intell.
Yu Xiao, Mingxing Cai, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Tingwen Huang
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Xu Zhang, Biao Luo, Zi-Peng Wang, Xiaodong Xu, Chunhua Yang
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Mingxing Cai, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Chunhua Yang, Weihua Gui
2025 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Yuhao Zhou, Biao Luo, Xiaodong Xu, Chunhua Yang
2025 J jnl
Syst. Control. Lett.
Ruixin Wu, Yu Xiao, Xiaodong Xu
2025 J jnl
Eng. Appl. Artif. Intell.
Zhibo Zhao, Yuan Yuan, Xiaodong Xu, Biao Luo, Tingwen Huang
2025 J jnl
Comput. Chem. Eng.
Zhentao Peng, Yuan Yuan, Zhisheng Chen, Xiaodong Xu, Stevan Dubljevic
2025 J jnl
Neurocomputing
Zijia Meng, Yu Xiao, Xiaodong Xu, Biao Luo, Yuncheng Du, Weihua Gui
2025 J jnl
IEEE Trans. Cybern.
Yu Xiao, Yun Feng, Biao Luo, Han-Xiong Li, Xiaodong Xu
2025 J jnl
IEEE Trans. Cybern.
Xu Zhang, Biao Luo, Zipeng Wang, Xiaodong Xu, Chunhua Yang
2025 J jnl
Artif. Intell. Rev.
Bo Niu, Biao Luo, Yongzheng Cui, Xiaodong Xu, Yuqian Zhao, Yu Feng
2025 J jnl
IEEE Trans. Cybern.
Jialin Xiao, Biao Luo, Xiaodong Xu, Chunhua Yang, Weihua Gui
2025 J jnl
Neurocomputing
Xianhe Zhang, Yu Xiao, Xiaodong Xu, Biao Luo, Weihua Gui, Tingwen Huang
2025 J jnl
Neural Networks
Jinfeng Li, Biao Luo, Xiaodong Xu, Tingwen Huang
2025 J jnl
Artif. Intell. Rev.
Lei Xu, Chunhua Yang, Xiaodong Xu, Biao Luo, Tingwen Huang
2025 J jnl
IEEE Trans. Artif. Intell.
Wen Ou, Biao Luo, Xiaodong Xu, Yu Feng, Yuqian Zhao
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Biao Luo, Jingyi Sun, Rui Tang, Xiaodong Xu
2025 J jnl
IEEE Trans. Instrum. Meas.
Hong Yang, Yuan Yuan, Zhisheng Chen, Xiaodong Xu, Biao Luo
2024 C conf
ACC
W. Ruixin, Xunyuan Yin, Xiaodong Xu, Stevan Dubljevic
2024 J jnl
IEEE Syst. J.
Zhibo Zhao, Yuan Yuan, Yu Xiao, Biao Luo, Xiaodong Xu, Weihua Gui, Chunhua Yang, Tingwen Huang
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yuan Yuan, Xiaodong Xu, Chunhua Yang, Tingwen Huang, Stevan Dubljevic
2024 J jnl
IEEE Trans. Cybern.
Yu Xiao, Yuan Yuan, Chunhua Yang, Biao Luo, Xiaodong Xu, Stevan Dubljevic
2024 J jnl
Syst. Control. Lett.
Yu Xiao, Yuan Yuan, Xiaodong Xu, Stevan Dubljevic
2024 J jnl
IEEE Trans. Instrum. Meas.
Ruixin Wu, Yu Xiao, Biao Luo, Xiaodong Xu, Chunhua Yang, Tingwen Huang
2024 J jnl
IEEE Trans. Cybern.
Jingyi Sun, Biao Luo, Xiaodong Xu, Chunhua Yang
2024 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic
2024 J jnl
Knowl. Based Syst.
Linbin Teng, Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic, Tingwen Huang
2024 J jnl
IEEE Trans. Instrum. Meas.
Yimiao Shi, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Chunhua Yang
2024 J jnl
Comput. Chem. Eng.
Yimiao Shi, Xiaodong Xu, Yuan Yuan, Stevan Dubljevic
2024 J jnl
IEEE Trans. Ind. Informatics
Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang
2024 J jnl
Artif. Intell. Rev.
Jiangyue Yan, Biao Luo, Xiaodong Xu
2024 J jnl
Neural Networks
Yu Xiao, Yuan Yuan, Biao Luo, Xiaodong Xu
2024 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Yuhao Zhou, Biao Luo, Xin Wang, Xiaodong Xu, Lin Xiao
2023 J jnl
IEEE Trans. Fuzzy Syst.
Linbin Teng, Yuan Yuan, Biao Luo, Chunhua Yang, Stevan Dubljevic, Tingwen Huang, Xiaodong Xu
2023 J jnl
IEEE Trans. Autom. Control.
Xiaodong Xu, Yuan Yuan, Stevan Dubljevic, Shen Yin
2023 J jnl
CoRR
Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang
2023 J jnl
Neural Networks
Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu
2021 J jnl
Int. J. Control
Xiaodong Xu, Stevan Dubljevic
2021 J jnl
IEEE Trans. Control. Syst. Technol.
Xiaodong Xu, Yahui Tian, Yuan Yuan, Xiaoli Luan, Fei Liu, Stevan Dubljevic
2021 J jnl
IEEE Syst. J.
Xiaodong Xu, Stevan Dubljevic
2020 J jnl
Int. J. Control
Xiaodong Xu, Stevan Dubljevic
2020 C conf
ACC
Xiaodong Xu, Xunyuan Yin, Yuan Yuan, Stevan Dubljevic
2019 C conf
ACC
Xiaodong Xu, Stevan Dubljevic
2019 J jnl
Int. J. Control
Xiaodong Xu, Seppo Pohjolainen, Stevan Dubljevic
2018 Misc conf
MMAR
Xiaodong Xu, Stevan Dubljevic
2018 J jnl
Eur. J. Control
Xiaodong Xu, Stevan Dubljevic
2018 C conf
ACC
Xiaodong Xu, Stevan Dubljevic
2017 C conf
ACC
Xiaodong Xu, Yuan Yuan, Stevan Dubljevic
2017 J jnl
Autom.
Xiaodong Xu, Stevan Dubljevic
2017 J jnl
Autom.
Xiaodong Xu, Stevan Dubljevic
2016 C conf
ACC
Xiaodong Xu, Stevan Dubljevic
2016 J jnl
Int. J. Control
Xiaodong Xu, Stevan Dubljevic
2016 J jnl
Eur. J. Control
Xiaodong Xu, Stevan Dubljevic
2015 C conf
ACC
Xiaodong Xu, Stevan Dubljevic, Biao Huang
2015 conf
ECC
Xiaodong Xu, Biao Huang, Stevan Dubljevic
redb/extractors/elf_extractors/elf_sections.py
← Index redb/extractors/elf_extractors/elf_sections.py python
import inspect
import hashlib
import math
from collections import Counter
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 ELFSection


class ELFSectionExtractor(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_sections = []
        self.elastic_index = self.index_prefix + "-elf_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _is_empty_result(self, extracted_data) -> bool:
        """
        Override: Empty sections is an ERROR, not a valid empty case.
        A valid ELF file must have sections (at minimum a null section).
        """
        # Always return False - empty sections should be treated as an error
        return False

    def _calculate_entropy(self, data: bytes) -> float:
        """Calculate Shannon entropy of data."""
        if not data:
            return 0.0

        try:
            # Count frequency of each byte
            byte_counts = Counter(data)
            data_len = len(data)

            # Calculate entropy
            entropy = 0.0
            for count in byte_counts.values():
                if count > 0:
                    frequency = count / data_len
                    entropy -= frequency * math.log2(frequency)

            return entropy
        except Exception as e:
            self.log.error(f"Error calculating entropy: {e}")
            return 0.0

    def _map_section_type(self, sh_type_str: str) -> int:
        """Map section type string to enum value."""
        type_map = {
            'SHT_NULL': 0,
            'SHT_PROGBITS': 1,
            'SHT_SYMTAB': 2,
            'SHT_STRTAB': 3,
            'SHT_RELA': 4,
            'SHT_HASH': 5,
            'SHT_DYNAMIC': 6,
            'SHT_NOTE': 7,
            'SHT_NOBITS': 8,
            'SHT_REL': 9,
            'SHT_DYNSYM': 11
        }
        return type_map.get(sh_type_str, 0)

    def _decode_section_flags(self, flags: int) -> List[str]:
        """Decode section flags to human-readable strings."""
        flag_strings = []

        # Common ELF section flags
        if flags & 0x1:  # SHF_WRITE
            flag_strings.append('WRITE')
        if flags & 0x2:  # SHF_ALLOC
            flag_strings.append('ALLOC')
        if flags & 0x4:  # SHF_EXECINSTR
            flag_strings.append('EXECINSTR')
        if flags & 0x10:  # SHF_MERGE
            flag_strings.append('MERGE')
        if flags & 0x20:  # SHF_STRINGS
            flag_strings.append('STRINGS')
        if flags & 0x40:  # SHF_INFO_LINK
            flag_strings.append('INFO_LINK')
        if flags & 0x80:  # SHF_LINK_ORDER
            flag_strings.append('LINK_ORDER')
        if flags & 0x100:  # SHF_OS_NONCONFORMING
            flag_strings.append('OS_NONCONFORMING')
        if flags & 0x200:  # SHF_GROUP
            flag_strings.append('GROUP')
        if flags & 0x400:  # SHF_TLS
            flag_strings.append('TLS')

        return flag_strings if flag_strings else ['NONE']

    def _extract_section_data(self, section) -> Dict:
        """Extract data from a single section."""
        try:
            header = section.header

            # Get section name (handle empty names)
            section_name = section.name if section.name else f"<unnamed_{section.header.get('sh_name', 0)}>"

            # Get section type and map to enum
            sh_type_str = header.get('sh_type', 'SHT_NULL')
            section_type_enum = self._map_section_type(sh_type_str)
            section_type_str = sh_type_str.replace('SHT_', '') if sh_type_str.startswith('SHT_') else sh_type_str

            # Get section properties
            section_flags = header.get('sh_flags', 0)
            section_flags_str = self._decode_section_flags(section_flags)
            section_addr = header.get('sh_addr', 0)
            section_offset = header.get('sh_offset', 0)
            section_size = header.get('sh_size', 0)
            section_link = header.get('sh_link', 0)
            section_info = header.get('sh_info', 0)
            section_addralign = header.get('sh_addralign', 0)
            section_entsize = header.get('sh_entsize', 0)

            # Calculate entropy and hashes for section data
            section_entropy = 0.0
            section_sha256 = ""
            section_md5 = ""

            try:
                if section_size > 0 and section_type_str != 'NOBITS':
                    section_data = section.data()
                    if section_data:
                        # Calculate entropy
                        section_entropy = self._calculate_entropy(section_data)

                        # Calculate hashes
                        section_sha256 = hashlib.sha256(section_data).hexdigest()
                        section_md5 = hashlib.md5(section_data).hexdigest()
            except Exception as e:
                self.log.warning(f"Could not read section '{section_name}' data: {e}")
                section_entropy = 0.0
                section_sha256 = ""
                section_md5 = ""

            return ELFSection(
                section_name=section_name,
                section_type=section_type_enum,
                section_type_str=section_type_str,
                section_flags=section_flags,
                section_flags_str=section_flags_str,
                section_addr=section_addr,
                section_offset=section_offset,
                section_size=section_size,
                section_link=section_link,
                section_info=section_info,
                section_addralign=section_addralign,
                section_entsize=section_entsize,
                section_entropy=section_entropy,
                section_sha256=section_sha256,
                section_md5=section_md5
            )

        except Exception as e:
            self.log.error(f"Error extracting section data: {e}")
            return None

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

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

            def extract_data(elf):
                sections_data = []

                # Iterate through all sections with per-section error handling
                for section_index, section in enumerate(elf.iter_sections()):
                    try:
                        section_data = self._extract_section_data(section)
                        if section_data:
                            sections_data.append(section_data)
                        else:
                            self.log.warning(f"Failed to extract data for section {section_index}")
                    except Exception as e:
                        self.log.warning(f"Error processing section {section_index}: {e}")
                        # Continue processing other sections

                return sections_data

            if not self._is_elf_file():
                return None

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

            self.elf_sections = result
            return self.elf_sections

        except Exception as e:
            self.log.error(f"Error extracting ELF sections {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_sections
        elif exporter_type == "ClickHouseExporter":
            try:
                if not self.elf_sections:
                    return None

                # Prepare data arrays for all sections
                data = []
                current_time = datetime.now(timezone.utc)
                for section in self.elf_sections:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        section.section_name,
                        section.section_type,
                        section.section_type_str,
                        section.section_flags,
                        section.section_flags_str,
                        section.section_addr,
                        section.section_offset,
                        section.section_size,
                        section.section_link,
                        section.section_info,
                        section.section_addralign,
                        section.section_entsize,
                        section.section_entropy,
                        section.section_sha256,
                        section.section_md5,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'section_name', 'section_type', 'section_type_str',
                    'section_flags', 'section_flags_str',
                    'section_addr', 'section_offset', 'section_size',
                    'section_link', 'section_info', 'section_addralign', 'section_entsize',
                    'section_entropy', 'section_sha256', 'section_md5',
                    'analysis_date'
                ]

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NULL'=0, 'PROGBITS'=1, 'SYMTAB'=2, 'STRTAB'=3, 'RELA'=4, 'HASH'=5, 'DYNAMIC'=6, 'NOTE'=7, 'NOBITS'=8, 'REL'=9, 'DYNSYM'=11)",
                    'LowCardinality(String)',
                    'UInt64',
                    'Array(LowCardinality(String))',
                    'UInt64', 'UInt64', 'UInt64',
                    'UInt32', 'UInt32', 'UInt64', 'UInt64',
                    'Float64',
                    'FixedString(64)', 'FixedString(32)',
                    'DateTime64(3, \'UTC\')'
                ]

                if not data:
                    return None

                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_sections"