Narendra D. Londhe

54 papers Journal 48Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Hum. Mach. Syst.
Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2025 J jnl
IEEE Signal Process. Lett.
Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2024 J jnl
Biomed. Signal Process. Control.
Ashish Semwal, Narendra D. Londhe
2024 J jnl
Multim. Tools Appl.
Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane
2024 conf
ICPR (22)
Aruna Kumari Kovvuru, Narendra D. Londhe, Ritesh Raj, Rajendra S. Sonawane
2024 J jnl
IEEE Trans. Cogn. Dev. Syst.
Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2023 J jnl
Biomed. Signal Process. Control.
Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2023 J jnl
Biomed. Signal Process. Control.
Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane
2022 J jnl
Biomed. Signal Process. Control.
Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe, Rajiv Ratan Jain, Avani Tiwari
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Ghanahshyam B. Kshirsagar, Narendra D. Londhe
2022 conf
ICCCNT
Posina Praneeth, Abothula Dhana Lakshmi, Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe
2021 J jnl
Comput. Methods Programs Biomed.
Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane
2021 J jnl
Appl. Soft Comput.
Ashish Semwal, Narendra D. Londhe
2021 J jnl
Int. J. Imaging Syst. Technol.
Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor
2021 J jnl
Biomed. Signal Process. Control.
Ashish Semwal, Narendra D. Londhe
2021 conf
CCWC
Ashish Semwal, Narendra D. Londhe
2021 conf
CCWC
Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe, Rajiv Ratan Jain, Avani Tiwari
2020 J jnl
Appl. Soft Comput.
Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj, Rajendra S. Sonawane
2020 conf
BIBM
Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane
2020 J jnl
Comput. Methods Programs Biomed.
Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe
2020 J jnl
Comput. Biol. Chem.
Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane
2020 J jnl
IEEE Trans. Cogn. Dev. Syst.
Ghanahshyam B. Kshirsagar, Narendra D. Londhe
2019 J jnl
IEEE Trans. Biomed. Eng.
Ghanahshyam B. Kshirsagar, Narendra D. Londhe
2019 J jnl
Biomed. Signal Process. Control.
Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane
2018 J jnl
Comput. Biol. Medicine
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, Narendra N. Khanna, Jasjit S. Suri
2018 J jnl
Int. J. Speech Technol.
Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2018 J jnl
Circuits Syst. Signal Process.
Atul Kumar Dwivedi, Subhojit Ghosh, Narendra D. Londhe
2018 J jnl
Int. J. Biom.
Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu
2017 J jnl
Comput. Methods Programs Biomed.
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2017 J jnl
Pattern Recognit.
Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu
2017 J jnl
Circuits Syst. Signal Process.
Atul Kumar Dwivedi, Subhojit Ghosh, Narendra D. Londhe
2017 J jnl
Comput. Biol. Medicine
Tadashi Araki, Pankaj Kumar Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Vimal K. Shrivastava, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Gupta, Jasjit S. Suri
2017 J jnl
IEEE Access
Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu
2017 J jnl
Comput. Biol. Medicine
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri
2017 J jnl
Comput. Biol. Medicine
Luca Saba, Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, John R. Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S. Suri
2017 J jnl
Comput. Biol. Medicine
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri
2016 J jnl
IEEE Access
Rahul Kumar Chaurasiya, Narendra D. Londhe, Subhojit Ghosh
2016 J jnl
Comput. Methods Programs Biomed.
Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016 J jnl
Biomed. Signal Process. Control.
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2016 J jnl
Comput. Biol. Medicine
Luca Saba, Sumit K. Banchhor, Harman S. Suri, Narendra D. Londhe, Tadashi Araki, Nobutaka Ikeda, Klaudija Viskovic, Shoaib Shafique, John R. Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S. Suri
2016 J jnl
Int. J. Hum. Comput. Interact.
Rahul Kumar Chaurasiya, Narendra D. Londhe, Subhojit Ghosh
2016 J jnl
Comput. Methods Programs Biomed.
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2016 conf
ICACCI
Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu
2016 J jnl
Comput. Methods Programs Biomed.
Sumit K. Banchhor, Tadashi Araki, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Ayman El-Baz, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016 J jnl
Eng. Appl. Artif. Intell.
Atul Kumar Dwivedi, Subhojit Ghosh, Narendra D. Londhe
2016 J jnl
IET Signal Process.
Atul Kumar Dwivedi, Subhojit Ghosh, Narendra D. Londhe
2016 J jnl
Comput. Methods Programs Biomed.
Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj Kumar Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016 J jnl
Data Knowl. Eng.
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2016 J jnl
J. Medical Syst.
Tadashi Araki, Sumit K. Banchhor, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Devarshi Shukla, Luca Saba, Antonella Balestrieri, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
2016 J jnl
J. Medical Syst.
Narendra D. Londhe, Jasjit S. Suri
2015 J jnl
Comput. Biol. Medicine
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2015 J jnl
Comput. Biol. Medicine
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2015 J jnl
Expert Syst. Appl.
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
2010 J jnl
Int. J. Math. Model. Numer. Optimisation
Narendra D. Londhe, R. S. Anand
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

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

    def tag(self):
        return Tag.MACHO_DYLIB.value

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

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