Rajesh Singh

47 papers A* 1Journal 39Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
SN Comput. Sci.
Sandeep Sharma, Kapil Joshi, Rajesh Singh
2026 J jnl
Int. J. Data Sci. Anal.
Raman Kumar, S. Narayanasamy, Chappidi Sreenivasa Rao, Vimal Parmar, Gadug Sudhamsu, Murari Devakannan Kamalesh, Sarbeswara Hota, Vikas Wasson, Rajesh Singh, Sanchi Kaushik
2026 J jnl
Comput. Biol. Medicine
Krish Chaudhary, Narendra N. Khanna, Pankaj Kumar Jain, Rajesh Singh, Laura E. Mantella, Amer M. Johri, Gavino Faa, Mohamed Abbas, John R. Laird, Mustafa Al-Maini, Esma R. Isenovic, Luca Saba, Jasjit S. Suri
2026 J jnl
Internet Technol. Lett.
Jalawi Alshudukhi, Gaganjot Kaur, B. Ankayarkanni, J. Gowrishankar, Sarbeswara Hota, Rajesh Singh
2025 J jnl
Int. J. Image Graph.
Rajesh Singh
2025 J jnl
Biomed. Signal Process. Control.
Ekta Tiwari, Siddharth Gupta, Anudeep Pavulla, Mustafa Al-Maini, Rajesh Singh, Esma R. Isenovic, Sumit Chaudhary, John L. Laird, Laura E. Mantella, Amer M. Johri, Luca Saba, Jasjit S. Suri
2025 J jnl
Biomed. Signal Process. Control.
Mrinalini Bhagawati, Siddharth Gupta, Sudip Paul, Laura E. Mantella, Amer M. Johri, John R. Laird, Ekta Tiwari, Narendra N. Khanna, Andrew Nicolaides, Rajesh Singh, Mustafa Al-Maini, Luca Saba, Jasjit S. Suri
2025 J jnl
Comput. Biol. Medicine
Sudhanshu Sharma, Rajesh Singh, Shiva Kant, Manoj K. Mishra
2025 J jnl
Neurocomputing
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, Rajesh Singh, Mostafa M. Fouda, Mannudeep K. Kalra, Ketan Kotecha, Luca Saba, Jasjit S. Suri
2025 A* conf
CVPR
Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2025 J jnl
Soft Comput.
Yuvraj Sharma, Siddharth Gupta, Neha Gupta, Ekta Tiwari, Rajesh Singh, Narendra N. Khanna, Mustafa Al-Maini, Vijay S. Rathore, Puneet Ahluwalia, Vandana Kumari, D. Subbaram Naidu, Luca Saba, Jasjit S. Suri
2024 J jnl
Appl. Artif. Intell.
Jakiur Rahman, Jaskaran Singh, Soumen Nayak, Biswajit Jena, Lopamudra Mohanty, Narpinder Singh, John R. Laird, Rajesh Singh, Deepak Garg, Narendra N. Khanna, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
2024 J jnl
Artif. Intell. Rev.
Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri
2024 J jnl
Frontiers Artif. Intell.
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
2024 J jnl
Sensors
Yash Paul, Rajesh Singh, Surbhi Sharma, Saurabh Singh, In-Ho Ra
2024 J jnl
Games Econ. Behav.
Sunanda Roy, Rajesh Singh, Quinn Weninger
2024 J jnl
Comput. Mater. Continua
Khushmeen Kaur Brar, Bhawna Goyal, Ayush Dogra, Sampangi Rama Reddy, Ahmed Alkhayyat, Rajesh Singh, Manob Jyoti Saikia
2024 J jnl
Comput. Medical Imaging Graph.
Mainak Biswas, Luca Saba, Mannudeep K. Kalra, Rajesh Singh, José Fernandes e Fernandes, Vijay Viswanathan, John R. Laird, Laura E. Mantella, Amer M. Johri, Mostafa M. Fouda, Jasjit S. Suri
2024 J jnl
Int. J. Comput. Intell. Syst.
Anamika Kumari, Rajesh Singh, Florentin Smarandache
2024 J jnl
CoRR
Dongting Hu, Jierun Chen, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2023 J jnl
Commun. Stat. Simul. Comput.
Ahmed Audu, Rajesh Singh, Supriya Khare
2022 conf
WPMC
Rajesh Singh, Ragini Mishra
2022 J jnl
Inf. Res.
Rajesh Singh
2022 conf
COMS2
Shivam Pujari, Hardwari Lal Mandoria, R. P. Shrivastava, Rajesh Singh
2021 conf
ECIL
Rajesh Singh
2021 J jnl
Educ. Inf.
Renate L. Chancellor, Paige DeLoach, Anthony W. Dunbar, Shari Lee, Rajesh Singh
2021 J jnl
Educ. Inf.
Rajesh Singh, Kevin S. Rioux
2021 J jnl
Libr. Hi Tech
Avijit Mahala, Rajesh Singh
2020 J jnl
Commun. Stat. Simul. Comput.
Rajesh Singh, Gautam Kumar Vishwakarma, Prabhakar Mishra
2020 J jnl
Public Libr. Q.
Rajesh Singh, Gabriella G. Trinchetta
2020 J jnl
J. Open Source Softw.
Rajesh Singh, Ronojoy Adhikari
2019 conf
ICCCNT
Neeraj Kumar Patel, Payal Saxena, Rajesh Singh, Satyendra Kumar
2019 J jnl
Neural Comput. Appl.
Nikhil Ninad Sirdesai, Alok Singh, Lakshmi Kant Sharma, Rajesh Singh, T. N. Singh
2018 conf
ECIL
Rajesh Singh
2017 J jnl
Eng. Comput.
L. K. Sharma, Rajesh Singh, R. K. Umrao, K. M. Sharma, T. N. Singh
2017 conf
ASIST
Liz Hartnett, Rajesh Singh, Hassan Zamir
2015 J jnl
Appl. Math. Comput.
Sachin Malik, Rajesh Singh
2015 conf
ASIST
Rajesh Singh, Karen A. Miller
2014 J jnl
Wirel. Pers. Commun.
Rajesh Singh, Gaurav Kumar Pandey, Mayank Agarwal, Hari Shankar Singh, Pradutt Kumar Bharti, Manoj Kumar Meshram
2014 J jnl
Appl. Math. Comput.
Rajesh Singh, Sachin Malik
2013 J jnl
Neural Comput. Appl.
Rajesh Singh, V. Vishal, T. N. Singh, P. G. Ranjith
2013 J jnl
Appl. Math. Comput.
Sachin Malik, Rajesh Singh
2013 J jnl
J. Inf. Knowl. Manag.
Rajesh Singh
2012 J jnl
Appl. Soft Comput.
Rajesh Singh, Ashutosh Kainthola, T. N. Singh
2009 J jnl
Model. Assist. Stat. Appl.
Rajesh Singh, A. A. Vidhale, Mark Carpenter
2006 J jnl
CoRR
Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan, Housila P. Singh, Rajesh Singh, F. Kaymram, S. Malakar, Jose L. Salmeron
2004 J jnl
Inf. Serv. Use
Rajesh Singh
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"