Xiangyin Zhang

35 papers B 1C 1Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Soft Comput.
Xiangyin Zhang, Weihuan Wu, Xiuzhi Li
2025 J jnl
IEEE Trans. Instrum. Meas.
Xiangyin Zhang, Hao Zong, Weihuan Wu
2025 J jnl
CoRR
Deyu Song, Xiangyin Zhang, Zipei Yu, Kaiyu Qin
2025 J jnl
IEEE Access
Jiayi Zhou, Xiangyin Zhang, Kaiyu Qin, Feng Yang, Libo Wang
2025 J jnl
Intell. Serv. Robotics
Xiuzhi Li, Xiangjun Deng, Xiangyin Zhang
2024 J jnl
Remote. Sens.
Libo Wang, Xiangyin Zhang, Kaiyu Qin, Zhuwei Wang, Jiayi Zhou, Deyu Song
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Changhao Sun, Qingrui Zhou, Wei Sun, Xiangyin Zhang, Huaxin Qiu, Xiaodong Han
2023 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Xiangyin Zhang, Xiaobin Zhuo, Qingzhen Zhang
2023 conf
ICSI (2)
Yao Lu, Xiangyin Zhang
2023 J jnl
Signal Process. Image Commun.
Jiahao Chen, Xiuzhi Li, Xiangyin Zhang
2023 J jnl
IEEE Trans. Instrum. Meas.
Zhen Liu, Xiaojun Zhang, Jun Pan, Xiangyin Zhang, Wei Hong, Zeng Wang, Zijing Wang, Yang Miao
2022 C conf
IGARSS
Deyu Song, Lan Liu, Xiangyin Zhang, Kaiyu Qin, Libo Wang
2022 J jnl
Adv. Robotics
Xiuzhi Li, Wen Wang, Jiahao Chen, Xiangyin Zhang
2022 J jnl
Knowl. Based Syst.
Xiangyin Zhang, Shuang Xia, Xiuzhi Li, Tian Zhang
2022 conf
ICSI (1)
Xiangsen Zhang, Xiangyin Zhang
2021 conf
ICSI (2)
Shuang Xia, Xiangyin Zhang, Xiuzhi Li, Tian Zhang
2021 J jnl
Vis. Comput.
Xiaoyan Meng, Guoliang Zhang, Songmin Jia, Xiuzhi Li, Xiangyin Zhang
2020 J jnl
Sensors
Yufeng Ye, Xiangyin Zhang, Lanfeng Xie, Kaiyu Qin
2020 J jnl
Mob. Networks Appl.
Fei Wu, Chenxing Li, Jiafan Wang, Xiangyin Zhang
2020 J jnl
Int. J. Comput. Intell. Syst.
Xiangyin Zhang, Shuang Xia, Xiuzhi Li
2019 J jnl
IEEE Commun. Lett.
Tang Bo, Kaiyu Qin, Xiangyin Zhang, Changwei Chen
2019 conf
ICSI (1)
Xiangyin Zhang, Shuang Xia
2018 J jnl
Appl. Soft Comput.
Xiangyin Zhang, Xingyang Lu, Songmin Jia, Xiuzhi Li
2018 J jnl
Algorithms
Xiangyin Zhang, Yuying Xue, Xingyang Lu, Songmin Jia
2018 conf
ICSI (1)
Xiangyin Zhang, Guang Chen, Songmin Jia
2018 J jnl
J. Electronic Imaging
Guoliang Zhang, Songmin Jia, Xiangyin Zhang, Xiuzhi Li
2017 conf
ISCID (2)
Xingyang Lu, Xiangyin Zhang, Songmin Jia, Jichao Shan
2015 J jnl
Appl. Soft Comput.
Xiangyin Zhang, Haibin Duan
2015 J jnl
IEEE Trans. Educ.
Haibin Duan, Pei Li, Yuhui Shi, Xiangyin Zhang, Changhao Sun
2014 J jnl
Wirel. Pers. Commun.
Xiangyin Zhang, Xiaodong Zhu, Youxi Tang
2010 J jnl
Int. J. Swarm Intell. Res.
Xiangyin Zhang, Haibin Duan, Shan Shao, Yunhui Wang
2010 J jnl
Sci. China Inf. Sci.
Xiangyin Zhang, Haibin Duan, Yaxiang Yu
2010 J jnl
Simul. Model. Pract. Theory
Haibin Duan, Yaxiang Yu, Xiangyin Zhang, Shan Shao
2009 conf
ICNC (5)
Zhenchao Wang, Haibin Duan, Xiangyin Zhang
2008 B conf
IEEE Congress on Evolutionary Computation
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
redb/extractors/elf_extractors/elf_notes.py
← Index redb/extractors/elf_extractors/elf_notes.py python
import inspect
import binascii
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 ELFNote


class ELFNotesExtractor(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_notes = []
        self.elastic_index = self.index_prefix + "-elf_notes"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_note_type_string(self, note_type: int, note_name: str) -> str:
        """Convert note type number to human-readable string."""

        # GNU-specific note types
        if note_name == "GNU":
            gnu_types = {
                1: "NT_GNU_ABI_TAG",
                2: "NT_GNU_HWCAP",
                3: "NT_GNU_BUILD_ID",
                4: "NT_GNU_GOLD_VERSION",
                5: "NT_GNU_PROPERTY_TYPE_0"
            }
            return gnu_types.get(note_type, f"NT_GNU_UNKNOWN_{note_type}")

        # Generic note types
        generic_types = {
            1: "NT_PRSTATUS",
            2: "NT_FPREGSET",
            3: "NT_PRPSINFO",
            4: "NT_TASKSTRUCT",
            5: "NT_AUXV",
            6: "NT_PSTATUS",
            7: "NT_FPREGS",
            8: "NT_PSINFO",
            9: "NT_PRCRED",
            10: "NT_UTSNAME",
            11: "NT_LWPSTATUS",
            12: "NT_LWPSINFO",
            13: "NT_PRFPXREG"
        }

        return generic_types.get(note_type, f"NT_UNKNOWN_{note_type}")

    def _format_note_description(self, note_desc, note_type: int, note_name: str) -> str:
        """Format note description based on type for human readability."""
        try:
            if not note_desc:
                return ""

            # Handle build ID specifically (common case)
            if note_name == "GNU" and note_type == 3:  # NT_GNU_BUILD_ID
                if isinstance(note_desc, bytes):
                    return binascii.hexlify(note_desc).decode('ascii')
                return str(note_desc)

            # Handle ABI tag
            if note_name == "GNU" and note_type == 1:  # NT_GNU_ABI_TAG
                if isinstance(note_desc, bytes) and len(note_desc) >= 16:
                    # ABI tag contains OS, major, minor, subminor
                    import struct
                    try:
                        os_val, major, minor, subminor = struct.unpack('<IIII', note_desc[:16])
                        os_names = {0: "Linux", 1: "GNU", 2: "Solaris", 3: "FreeBSD"}
                        os_name = os_names.get(os_val, f"OS_{os_val}")
                        return f"{os_name} {major}.{minor}.{subminor}"
                    except:
                        pass

            # For binary data, convert to hex
            if isinstance(note_desc, bytes):
                # Limit size for very large descriptions
                if len(note_desc) > 256:
                    return binascii.hexlify(note_desc[:256]).decode('ascii') + "..."
                return binascii.hexlify(note_desc).decode('ascii')

            # For string data
            if isinstance(note_desc, str):
                return note_desc

            # Fallback
            return str(note_desc)

        except Exception as e:
            self.log.error(f"Error formatting note description: {e}")
            return str(note_desc) if note_desc else ""

    def _extract_note_data(self, note, section_name: str) -> ELFNote:
        """Extract data from a single note entry."""
        try:
            # Get note properties
            note_name = note.get('n_name', '').rstrip('\x00') if note.get('n_name') else ""
            note_type_raw = note.get('n_type', 0)
            note_desc_raw = note.get('n_desc', b'')

            # Handle note_type - pyelftools may return string or int
            if isinstance(note_type_raw, str):
                # pyelftools returned the type as a string like 'NT_GNU_BUILD_ID'
                note_type_str = note_type_raw
                # Map known string types to integers
                note_type_map = {
                    'NT_GNU_ABI_TAG': 1,
                    'NT_GNU_HWCAP': 2,
                    'NT_GNU_BUILD_ID': 3,
                    'NT_GNU_GOLD_VERSION': 4,
                    'NT_GNU_PROPERTY_TYPE_0': 5,
                    'NT_PRSTATUS': 1,
                    'NT_FPREGSET': 2,
                    'NT_PRPSINFO': 3,
                    'NT_TASKSTRUCT': 4,
                    'NT_AUXV': 5,
                    'NT_PSTATUS': 6,
                    'NT_FPREGS': 7,
                    'NT_PSINFO': 8,
                    'NT_PRCRED': 9,
                    'NT_UTSNAME': 10,
                    'NT_LWPSTATUS': 11,
                    'NT_LWPSINFO': 12,
                    'NT_PRFPXREG': 13,
                }
                note_type = note_type_map.get(note_type_raw, 0)
            else:
                note_type = note_type_raw
                # Get human-readable type string
                note_type_str = self._get_note_type_string(note_type, note_name)

            # Format description
            note_desc = self._format_note_description(note_desc_raw, note_type, note_name)

            return ELFNote(
                note_name=note_name,
                note_type=note_type,
                note_type_str=note_type_str,
                note_desc=note_desc,
                note_section=section_name
            )

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

    def _extract_notes_from_sections(self, elf) -> List[Dict]:
        """Extract notes from note sections."""
        notes = []

        try:
            # Look for note sections
            for section in elf.iter_sections():
                if (section.name and
                    section.name.startswith('.note') and
                    hasattr(section, 'iter_notes')):

                    section_name = section.name
                    try:
                        for note in section.iter_notes():
                            note_data = self._extract_note_data(note, section_name)
                            if note_data:
                                notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in section {section_name}: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from sections: {e}")

        return notes

    def _extract_notes_from_segments(self, elf) -> List[Dict]:
        """Extract notes from PT_NOTE segments."""
        notes = []

        try:
            # Look for PT_NOTE segments
            for segment in elf.iter_segments():
                if segment.header.get('p_type') == 'PT_NOTE':
                    segment_name = f"PT_NOTE_segment_{segment.header.get('p_offset', 0)}"

                    try:
                        if hasattr(segment, 'iter_notes'):
                            for note in segment.iter_notes():
                                note_data = self._extract_note_data(note, segment_name)
                                if note_data:
                                    notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in segment: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from segments: {e}")

        return notes

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

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

            def extract_data(elf):
                all_notes = []

                # Extract notes from note sections
                section_notes = self._extract_notes_from_sections(elf)
                all_notes.extend(section_notes)

                # Extract notes from PT_NOTE segments
                segment_notes = self._extract_notes_from_segments(elf)
                all_notes.extend(segment_notes)

                # Remove duplicates (same note might appear in section and segment)
                unique_notes = []
                seen_notes = set()
                for note in all_notes:
                    note_key = (note.note_name, note.note_type, note.note_desc)
                    if note_key not in seen_notes:
                        seen_notes.add(note_key)
                        unique_notes.append(note)

                return unique_notes

            if not self._is_elf_file():
                return None

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

            self.elf_notes = result
            return self.elf_notes

        except Exception as e:
            self.log.error(f"Error extracting ELF notes {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_notes
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no notes found
                # None is reserved for actual errors

                # Prepare data arrays for all notes
                data = []
                current_time = datetime.now(timezone.utc)
                for note in self.elf_notes:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        note.note_name,
                        note.note_type,
                        note.note_type_str,
                        note.note_desc,
                        note.note_section,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'note_name', 'note_type', 'note_type_str',
                    'note_desc', 'note_section',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)', 'UInt32', 'LowCardinality(String)',
                    'String CODEC(ZSTD(3))', '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_notes"