Jafar Tanha

60 papers A* 2A 1B 4C 1Misc 4Journal 47Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowl. Based Syst.
Nazila Pourhaji Aghayengejeh, M. A. Balafar, Jafar Tanha, Aryaz Baradarani
2026 J jnl
Comput. Sci. Rev.
Nazila Pourhaji Aghayengejeh, M. A. Balafar, Jafar Tanha, Narjes Nikzad-Khasmakhi
2026 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Nazila Pourhaji Aghayengejeh, M. A. Balafar, Jafar Tanha, Narjes Nikzad-Khasmakhi, Shervin Minaee
2026 J jnl
Comput. Electr. Eng.
Razieh Mohammadi, Jafar Tanha, Nazila Pourhaji Aghayengejeh, Mohammad Ali Balafar
2025 J jnl
IEEE Access
Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyed Ehsan Roshan
2025 J jnl
Knowl. Based Syst.
Negin Samadi, Jafar Tanha, Mahdi Jalili
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Ali Jameel Hashim, M. A. Balafar, Jafar Tanha, Aryaz Baradarani
2025 J jnl
J. Exp. Theor. Artif. Intell.
Sajad Rezaei, Jafar Tanha, SeyedEhsan Roshan, Zahra Jafari, Mahdi Molaei, Samira Mirzadoust, Mohammad Sadeghi, Amir Forsati, Tara Khoshamouz
2025 J jnl
IEEE Access
Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari
2025 J jnl
Appl. Intell.
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh
2025 J jnl
Inf. Sci.
Negin Samadi, Jafar Tanha, Mahdi Jalili
2025 J jnl
Appl. Intell.
Shima Rashidi, Jafar Tanha, Arash Sharifi, Mehdi Hosseinzadeh
2025 J jnl
Softw. Impacts
Amin Golzari Oskouei, Negin Samadi, Asgarali Bouyer, Jafar Tanha
2025 J jnl
Neurocomputing
Amin Golzari Oskouei, Negin Samadi, Jafar Tanha, Asgarali Bouyer, Bahman Arasteh
2025 J jnl
CoRR
Haniyeh Nikkhah, Jafar Tanha, Mahdi Zarrin, Seyed Ehsan Roshan, Amin Kazempour
2024 J jnl
Pattern Recognit.
Imaneh Khodayari-Samghabadi, Leili Mohammad Khanli, Jafar Tanha
2024 J jnl
IEEE Access
Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari
2024 J jnl
Comput. Biol. Medicine
Seyed Ehsan Roshan, Jafar Tanha, Mahdi Zarrin, Alireza Fakhim Babaei, Haniyeh Nikkhah, Zahra Jafari
2024 J jnl
J. Biomed. Informatics
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh
2024 J jnl
Appl. Intell.
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi
2024 J jnl
Multim. Tools Appl.
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi
2024 J jnl
Appl. Soft Comput.
Ali Jameel Hashim, M. A. Balafar, Jafar Tanha, Aryaz Baradarani
2024 J jnl
IEEE Access
Adil Abdullah Abdulhussein Alshawi, Jafar Tanha, Mohammad Ali Balafar
2024 J jnl
Comput. Electr. Eng.
Shirin Khezri, Jafar Tanha, Negin Samadi
2024 J jnl
Multim. Tools Appl.
Soodabeh Imanzadeh, Jafar Tanha, Mahdi Jalili
2024 J jnl
Appl. Soft Comput.
Amin Golzari Oskouei, Negin Samadi, Jafar Tanha
2024 J jnl
Vis. Comput.
Mohammad Saber Iraji, Jafar Tanha, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi
2024 J jnl
IET Softw.
Saeid Pashazadeh, Basheer Zuhair Jaafar Al-Basseer, Jafar Tanha
2024 J jnl
J. Supercomput.
Ali Jameel Hashim, M. A. Balafar, Jafar Tanha
2024 J jnl
Softw. Impacts
Amin Golzari Oskouei, Negin Samadi, Jafar Tanha, Asgarali Bouyer
2023 Misc conf
CSICC
Bahar Sar-Saifee, Jafar Tanha, Mohammad Aeini
2023 J jnl
Evol. Syst.
Hadi Alhares, Jafar Tanha, Mohammad Ali Balafar
2023 Misc conf
CSICC
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh, Ritwick Agrawal, Zohair Hassanzadeh Mostafaei
2023 J jnl
Complex.
Seyed Ehsan Roshan, Jafar Tanha, Farzad Hallaji, Mohammadreza Ghanbari
2023 J jnl
Int. J. Mach. Learn. Cybern.
Sahar Hassanzadeh Mostafaei, Jafar Tanha
2023 J jnl
Appl. Intell.
Jafar Tanha, Zahra Zarei
2022 J jnl
Multim. Tools Appl.
Shadi Alijani, Jafar Tanha, Leyli Mohammadkhanli
2022 J jnl
Inf. Sci.
Jafar Tanha, Negin Samadi, Yousef Abdi, Nazila Razzaghi-Asl
2022 J jnl
Comput. Biol. Medicine
Mohammad Saber Iraji, Jafar Tanha, Mahboobeh Habibinejad
2022 Misc conf
CSICC
Negin Samadi, Jafar Tanha, Sahar Hassanzadeh Mostafaei, Nazila Razzaghi-Asl, Soodabeh Imanzadeh
2021 J jnl
Inf. Process. Manag.
Mona Emadi, Jafar Tanha, Mohammad Ebrahim Shiri, Mehdi Hosseinzadeh Aghdam
2021 J jnl
Neurocomputing
Shirin Khezri, Jafar Tanha, Ali Ahmadi, Arash Sharifi
2021 J jnl
Complex.
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
2021 J jnl
CoRR
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
2020 J jnl
J. Big Data
Jafar Tanha, Yousef Abdi, Negin Samadi, Nazila Razzaghi, Mohammad Asadpour
2020 conf
TTCS
Mona Emadi, Jafar Tanha
2020 J jnl
Appl. Intell.
Shirin Khezri, Jafar Tanha, Ali Ahmadi, Arash Sharifi
2019 J jnl
Int. J. Mach. Learn. Cybern.
Jafar Tanha
2018 J jnl
Neurocomputing
Jafar Tanha
2017 J jnl
Int. J. Mach. Learn. Cybern.
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
2015 Misc conf
RANLP
Jafar Tanha, Jesse de Does, Katrien Depuydt
2015 B conf
ESANN
Jafar Tanha, Jesse de Does, Katrien Depuydt
2015 A conf
ICDAR
Jafar Tanha, Jesse de Does, Katrien Depuydt, Joan-Andreu Sánchez
2014 B conf
ICFHR
Jafar Tanha, Jesse de Does, Katrien Depuydt
2014 J jnl
Pattern Recognit. Lett.
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
2013 A* conf
ICDM
Jafar Tanha, Mohammad Javad Saberian, Maarten van Someren
2012 A* conf
ICDM
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
2012 B conf
ICTAI
Jafar Tanha, Maarten van Someren, Merijn de Bakker, Willem Bouten, Judy Shamoun-Baranes, Hamideh Afsarmanesh
2011 B conf
ICTAI
Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
2010 C conf
PRO-VE
Hamideh Afsarmanesh, Jafar Tanha
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"