Celso Grebogi

56 papers Journal 55Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Runchen Lai, Youjun Li, Fan Yang, Ying Li, Nan Yao, Chun-Wang Su, Si-Ping Zhang, Yuanyuan Mi, Celso Grebogi, Zi-Gang Huang
2026 J jnl
IEEE Trans. Ind. Electron.
Puheng Yue, Xin Guo, Celso Grebogi
2025 J jnl
Int. J. Bifurc. Chaos
Qiong Yang, Biliu Zhou, Denghui Li, Yanpeng Li, Celso Grebogi
2025 J jnl
IEEE J. Biomed. Health Informatics
Peiyin Chen, Xiaofeng Liu, Chao Ma, He Wang, Xiong Yang, Celso Grebogi, Xiao Gu, Zhongke Gao
2024 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Weidong Dang, Dongmei Lv, Mengxiao Tang, Xinlin Sun, Yong Liu, Celso Grebogi, Zhongke Gao
2022 J jnl
CoRR
Hui-Ping Yin, Hai-Peng Ren, Celso Grebogi
2022 J jnl
IEEE Trans. Wirel. Commun.
Chao Bai, Xiao-Hui Zhao, Hai-Peng Ren, Géza Kolumbán, Celso Grebogi
2022 J jnl
Int. J. Bifurc. Chaos
Qiong Yang, Denghui Li, Yandong Chu, Xianfeng Li, Celso Grebogi
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Peiyin Chen, Zhongke Gao, Miaomiao Yin, Jialing Wu, Kai Ma, Celso Grebogi
2022 J jnl
CoRR
Jun-Jie Jiang, Zi-Gang Huang, Celso Grebogi, Ying-Cheng Lai
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Qing Cai, Zhongke Gao, Jianpeng An, Shuang Gao, Celso Grebogi
2021 J jnl
IET Commun.
Hai-Peng Ren, Hui-Ping Yin, Hong-Er Zhao, Chao Bai, Celso Grebogi
2021 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Kun Tian, Celso Grebogi, Haipeng Ren
2021 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Zhongke Gao, Zhu Gong, Qing Cai, Chao Ma, Celso Grebogi
2021 J jnl
Int. J. Bifurc. Chaos
Xiaoming Zhang, Zhenbang Cao, Jianhua Xie, Denghui Li, Celso Grebogi
2021 J jnl
Commun. Nonlinear Sci. Numer. Simul.
José Trobia, Kun Tian, Antonio M. Batista, Celso Grebogi, Haipeng Ren, Moises S. Santos, Paulo R. Protachevicz, Fernando S. Borges, José D. Szezech Jr., Ricardo Luiz Viana, Iberê L. Caldas, Kelly C. Iarosz
2021 J jnl
Int. J. Bifurc. Chaos
Denghui Li, Zhenbang Cao, Xiaoming Zhang, Celso Grebogi, Jianhua Xie
2020 J jnl
IEEE Trans. Ind. Informatics
Zhongke Gao, Yanli Li, Yuxuan Yang, Na Dong, Xiong Yang, Celso Grebogi
2020 J jnl
IEEE Access
M. Majid Butt, Celso Grebogi, Irene Macaluso, Murilo S. Baptista, Nicola Marchetti, Pedro Henrique Juliano Nardelli, Robert A. Hunjet, Ryan Thomas
2020 J jnl
CoRR
Ling-Wei Kong, Huawei Fan, Celso Grebogi, Ying-Cheng Lai
2020 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Gaolei Li, Yuan Yue, Jianhua Xie, Celso Grebogi
2020 J jnl
Int. J. Bifurc. Chaos
Hai-Peng Ren, Chaofeng Zhao, Celso Grebogi
2020 J jnl
IEEE Access
Chao Bai, Hai-Peng Ren, Wu-Yun Zheng, Celso Grebogi
2019 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Chao Bai, Hai-Peng Ren, Murilo S. Baptista, Celso Grebogi
2019 J jnl
Int. J. Bifurc. Chaos
Kun Tian, Hai-Peng Ren, Celso Grebogi
2019 J jnl
IEEE Access
Chao Bai, Hai-Peng Ren, Celso Grebogi
2019 J jnl
IEEE Trans. Veh. Technol.
Junliang Yao, Yu-Zhe Sun, Hai-Peng Ren, Celso Grebogi
2019 J jnl
Int. J. Neural Syst.
Qing Cai, Zhongke Gao, Yuxuan Yang, Wei-Dong Dang, Celso Grebogi
2019 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Gaolei Li, Yuan Yue, Jianhua Xie, Celso Grebogi
2018 J jnl
IEEE Trans. Ind. Informatics
Zhongke Gao, Wei-Dong Dang, Chaoxu Mu, Yuxuan Yang, Shan Li, Celso Grebogi
2017 J jnl
Int. J. Bifurc. Chaos
Hai-Peng Ren, Chao Bai, Zhan-Zhan Huang, Celso Grebogi
2017 J jnl
CoRR
Nicolás Rubido, Celso Grebogi, Murilo S. Baptista
2017 J jnl
Int. J. Bifurc. Chaos
Zhongke Gao, Shan Li, Wei-Dong Dang, Yuxuan Yang, Younghae Do, Celso Grebogi
2016 J jnl
CoRR
Chengwei Wang, Celso Grebogi, Murilo S. Baptista
2015 J jnl
CoRR
Lezhi Wang, Ri-Qi Su, Zi-Gang Huang, Xiao Wang, Wen-Xu Wang, Celso Grebogi, Ying-Cheng Lai
2015 J jnl
CoRR
Jingwen Li, Wen-Xu Wang, Ying-Cheng Lai, Celso Grebogi
2014 J jnl
Biosyst.
Fernando S. Borges, Kelly C. Iarosz, Hai-Peng Ren, Antonio M. Batista, Murilo S. Baptista, Ricardo Luiz Viana, Sergio Roberto Lopes, Celso Grebogi
2013 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Rodrigo Carareto, Murilo S. Baptista, Celso Grebogi
2013 J jnl
CoRR
Nicolás Rubido, Celso Grebogi, Murilo S. Baptista
2012 J jnl
Int. J. Bifurc. Chaos
Murilo S. Baptista, J. X. de Carvalho, M. S. Hussein, Celso Grebogi
2012 J jnl
Comput. Biol. Medicine
Adriane B. Schelin, György Károlyi, Alessandro P. S. de Moura, Nuala Booth, Celso Grebogi
2012 J jnl
Int. J. Bifurc. Chaos
Han-Xin Yang, Wen-Xu Wang, Ying-Cheng Lai, Celso Grebogi
2012 J jnl
Int. J. Bifurc. Chaos
Hai-Peng Ren, Murilo S. Baptista, Celso Grebogi
2008 J jnl
Int. J. Bifurc. Chaos
Alexander N. Pisarchik, Celso Grebogi
2004 J jnl
Int. J. Bifurc. Chaos
Mário S. T. de Freitas, Ricardo Luiz Viana, Celso Grebogi
2003 J jnl
Int. J. Bifurc. Chaos
Murilo S. Baptista, Marcelo Bussotti Reyes, José Carlos Sartorelli, Celso Grebogi, Epaminondas Rosa Jr.
2003 J jnl
Int. J. Bifurc. Chaos
Ricardo Luiz Viana, S. E. de S. Pinto, J. R. R. Barbosa, Celso Grebogi
2003 J jnl
Int. J. Bifurc. Chaos
Murilo S. Baptista, Celso Grebogi, Ernest Barreto
2001 J jnl
Int. J. Bifurc. Chaos
Elbert E. N. Macau, Celso Grebogi
2001 J jnl
Int. J. Bifurc. Chaos
Inés P. Mariño, Celso Grebogi, Epaminondas Rosa Jr.
2001 J jnl
Int. J. Bifurc. Chaos
Ricardo Luiz Viana, Celso Grebogi
2001 J jnl
Int. J. Bifurc. Chaos
Diego L. Valladares, Stefano Boccaletti, Héctor Mancini, Celso Grebogi
2000 J jnl
Int. J. Bifurc. Chaos
Roberto Tonelli, Ying-Cheng Lai, Celso Grebogi
2000 J jnl
Int. J. Bifurc. Chaos
Ying-Cheng Lai, Celso Grebogi
1999 conf
ISCAS (5)
Soumitro Banerjee, D. Kastha, S. Das, G. Vivek, Celso Grebogi
1987 J jnl
J. Complex.
Stephen M. Hammel, James A. Yorke, Celso Grebogi
redb/extractors/macho_extractor.py
← Index redb/extractors/macho_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect
import sys
import os

import machofile

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class MachOExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        # Read binary and parse machofile BEFORE calling super().__init__
        # This avoids reading the file twice
        with open(filepath, "rb") as f:
            binary_data = f.read()

        # Parse machofile with binary data
        self.macho = macho if macho else self._generate_machofile_object(binary_data)

        # Extract hashes from machofile to pass to parent
        precomputed_hashes = None
        if self.macho:
            try:
                general_info = self.macho.get_general_info()
                if general_info:
                    # For FAT binaries, get_general_info() returns dict with 'fat' key
                    # For single-arch, it returns the info directly
                    if 'fat' in general_info:
                        fat_info = general_info['fat']
                        precomputed_hashes = {
                            'MD5': fat_info.get('MD5'),
                            'SHA1': fat_info.get('SHA1'),
                            'SHA256': fat_info.get('SHA256'),
                        }
                    else:
                        precomputed_hashes = {
                            'MD5': general_info.get('MD5'),
                            'SHA1': general_info.get('SHA1'),
                            'SHA256': general_info.get('SHA256'),
                        }
            except Exception as e:
                logger.debug(f"Could not get hashes from machofile: {e}")

        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            precomputed_hashes=precomputed_hashes,
        )

        # Store binary data so base class doesn't re-read
        self._binary_data = binary_data

    @property
    def binary(self):
        """Override to use already-read binary data."""
        return self._binary_data

    def _generate_machofile_object(self, binary_data):
        """Generate and parse a machofile object from binary data."""
        macho = None
        try:
            macho = machofile.UniversalMachO(data=binary_data)
            if not macho:
                raise Exception("Empty file?")

            # Parse the MachO object once during initialization
            macho.parse()

        except Exception as e:
            logger.error(f"Format error parsing MachO: {e}")
        return macho

    # def _is_macho_file(self):
    #     """Check if the file is a valid Mach-O binary."""
    #     try:
    #         if not self.macho:
    #             return False
            
    #         # For Universal/FAT binaries, check if any architecture is valid
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             return len(self.macho.architectures) > 0
    #         else:
    #             # Single architecture binary
    #             return hasattr(self.macho, 'macho') and self.macho.macho is not None
    #     except Exception as e:
    #         self.log.error(f"Error checking Mach-O file: {e}")
    #         return False

    def _is_signed(self):
        """Check if the Mach-O binary is code signed using new API."""
        try:
            if not self.macho:
                return False

            # Get architectures using new API
            architectures = self.macho.get_architectures()

            # For each architecture, check if signed
            for arch in architectures:
                try:
                    signature_info = self.macho.get_code_signature_info(arch=arch)
                    if signature_info and signature_info.get('signed', False):
                        return True
                except Exception:
                    continue

            return False
        except Exception as e:
            self.log.error(f"Error checking Mach-O signature: {e}")
            return False

    def _get_architectures(self):
        """Get list of architectures in the Mach-O binary using new API."""
        try:
            if not self.macho:
                return []

            # Use new API method
            architectures = self.macho.get_architectures()
            return architectures if architectures else []
        except Exception as e:
            self.log.error(f"Error getting architectures: {e}")
            return []

    # def _get_macho_for_arch(self, arch_name=None):
    #     """Get MachO instance for specific architecture or default."""
    #     try:
    #         if not self.macho:
    #             return None
            
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             if arch_name:
    #                 return self.macho.architectures.get(arch_name)
    #             else:
    #                 # Return first available architecture
    #                 return next(iter(self.macho.architectures.values())) if self.macho.architectures else None
    #         else:
    #             # Single architecture binary
    #             return self.macho.macho if hasattr(self.macho, 'macho') else None
    #     except Exception as e:
    #         self.log.error(f"Error getting MachO for architecture: {e}")
    #         return None

    # def _get_formatted_header_values(self, header):
    #     """Get both raw and human-readable header values."""
    #     try:
    #         macho_instance = self._get_macho_for_arch()
    #         if not macho_instance:
    #             return None
            
    #         # Parse the MachO if not already parsed
    #         if not hasattr(macho_instance, 'header') or not macho_instance.header:
    #             macho_instance.parse()
            
    #         # Get human-readable values using machofile's formatting methods
    #         magic_str = macho_instance.format_magic_value(header.get('magic', 0))
            
    #         # Simple CPU type mapping since CPU_TYPE_MAP is not exposed
    #         cputype = header.get('cputype', 0)
    #         if cputype == 0x7:
    #             cputype_str = "x86"
    #         elif cputype == 0x1000007:
    #             cputype_str = "x86_64"
    #         elif cputype == 0xC:
    #             cputype_str = "ARM"
    #         elif cputype == 0x100000C:
    #             cputype_str = "ARM 64-bit"
    #         else:
    #             cputype_str = str(cputype)
            
    #         cpusubtype_str = macho_instance.decode_cpusubtype(header.get('cputype', 0), header.get('cpusubtype', 0))
    #         filetype_str = macho_instance.format_file_type(header.get('filetype', 0))
    #         flags_str = macho_instance.decode_flags(header.get('flags', 0))
            
    #         return {
    #             'raw': {
    #                 'magic': header.get('magic', 0),
    #                 'cputype': header.get('cputype', 0),
    #                 'cpusubtype': header.get('cpusubtype', 0),
    #                 'filetype': header.get('filetype', 0),
    #                 'flags': header.get('flags', 0),
    #             },
    #             'formatted': {
    #                 'magic_str': magic_str,
    #                 'cputype_str': cputype_str,
    #                 'cpusubtype_str': cpusubtype_str,
    #                 'filetype_str': filetype_str,
    #                 'flags_str': flags_str,
    #             }
    #         }
    #     except Exception as e:
    #         self.log.error(f"Error formatting header values: {e}")
    #         return None