Haibo Wang

63 papers B 3Misc 2Journal 53Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Prod. Res.
Bahram Alidaee, Haibo Wang
2025 J jnl
IEEE Access
Bahram Alidaee, Haibo Wang, Wendy Wang
2025 J jnl
CoRR
Lutfu S. Sua, Haibo Wang, Jun Huang
2025 J jnl
CoRR
Haibo Wang, Lutfu S. Sua, Jun Huang, Figen Balo, Burak Dolar
2025 J jnl
Comput. Ind. Eng.
Xue Yang, Haichao Liu, Yang Wang, Abraham P. Punnen, Haibo Wang
2025 J jnl
Int. Trans. Oper. Res.
Yu Du, Haibo Wang, Rick Hennig, Amit Hulandageri, Gary A. Kochenberger, Fred W. Glover
2025 J jnl
CoRR
Haibo Wang, Jun Huang, Lutfu S. Sua, Bahram Alidaee
2025 J jnl
INFORMS J. Comput.
Yu Du, Fred W. Glover, Gary A. Kochenberger, Rick Hennig, Haibo Wang, Amit Hulandageri
2024 J jnl
CoRR
Bahram Alidaee, Haibo Wang, Hugh Sloan
2024 J jnl
CoRR
Haibo Wang, Lutfu S. Sua, Bahram Alidaee
2024 J jnl
CoRR
Bahram Alidaee, Haibo Wang
2024 J jnl
CoRR
Bahram Alidaee, Haibo Wang, Lutfu S. Sua, Wade Liu
2023 J jnl
Comput. Ind. Eng.
Haibo Wang, Bahram Alidaee
2023 J jnl
Comput. Oper. Res.
Yang Wang, Haichao Liu, Bo Peng, Haibo Wang, Abraham P. Punnen
2023 J jnl
Algorithms
Bahram Alidaee, Haibo Wang, Lutfu S. Sua
2022 J jnl
IEEE Access
Haibo Wang, Wendy Wang, Yi Liu, Bahram Alidaee
2022 J jnl
IEEE Access
Wei Wang, Haibo Wang, Bahram Alidaee, Jun Huang, Huijun Yang
2022 J jnl
Int. J. Inf. Technol. Decis. Mak.
Yu Du, Gary A. Kochenberger, Fred W. Glover, Haibo Wang, Mark W. Lewis, Weihong Xie, Takeshi Tsuyuguchi
2021 J jnl
Int. J. Prod. Res.
Haibo Wang, Bahram Alidaee, Jaime Ortiz, Wei Wang
2019 J jnl
J. Sched.
Bahram Alidaee, Haibo Wang, Bryan Kethley, Frank G. Landram
2019 J jnl
J. Heuristics
Jiawei Song, Yang Wang, Haibo Wang, Qinghua Wu, Abraham P. Punnen
2018 J jnl
Ann. Oper. Res.
Bahram Alidaee, Vijay P. Ramalingam, Haibo Wang, Bryan Kethley
2018 J jnl
IEEE Trans Autom. Sci. Eng.
Haibo Wang, Bahram Alidaee
2018 J jnl
Commun. Stat. Simul. Comput.
Jun Huang, Haibo Wang, Wei Wang
2017 J jnl
Int. J. Big Data Intell.
Haibo Wang, Da Huo, Yaquan Xu
2017 J jnl
J. Oper. Res. Soc.
Bahram Alidaee, Haibo Wang
2017 J jnl
Comput. Ind. Eng.
Bahram Alidaee, Hugh Sloan, Haibo Wang
2016 J jnl
Eur. J. Oper. Res.
Bo Peng, Mengqi Liu, Zhipeng Lü, Gary A. Kochenberger, Haibo Wang
2015 conf
SmartCity
Haibo Wang, Da Huo, Yaquan Xu
2015 conf
ICSC
Da Huo, Yan Chen, Haibo Wang
2015 J jnl
Optim. Lett.
Gary A. Kochenberger, Mark W. Lewis, Fred W. Glover, Haibo Wang
2015 Misc conf
ICNC
Wei Wang, Wei Ning, Haibo Wang
2014 J jnl
Int. J. Knowl. Syst. Sci.
Haibo Wang, Bahram Alidaee, Wei Wang, Wei Ning
2014 J jnl
Int. J. Inf. Decis. Sci.
Harold W. Lundy Jr., José Humberto Ablanedo-Rosas, Hongman Gao, Haibo Wang, Baruch Lundy
2014 J jnl
J. Intell. Robotic Syst.
Haibo Wang, Da Huo, Bahram Alidaee
2014 J jnl
J. Comb. Optim.
Gary A. Kochenberger, Jin-Kao Hao, Fred W. Glover, Mark W. Lewis, Zhipeng Lü, Haibo Wang, Yang Wang
2013 B conf
SMC
Jun Huang, Haibo Wang, Wei Wang, Zhibin Xiong
2013 J jnl
J. Heuristics
Gary A. Kochenberger, Jin-Kao Hao, Zhipeng Lü, Haibo Wang, Fred W. Glover
2012 J jnl
Comput. Oper. Res.
Haibo Wang, Gary A. Kochenberger, Fred W. Glover
2012 conf
AMT
Haibo Wang, Bahram Alidaee, Wei Wang
2011 J jnl
Int. J. Data Anal. Tech. Strateg.
Yaquan Xu, Haibo Wang
2011 J jnl
IEEE Trans Autom. Sci. Eng.
Bahram Alidaee, Haibo Wang, Frank G. Landram
2010 J jnl
Int. J. Math. Model. Numer. Optimisation
Haibo Wang, Gary A. Kochenberger, Yaquan Xu
2010 J jnl
Comput. Ind. Eng.
Bahram Alidaee, Hongman Gao, Haibo Wang
2010 J jnl
Expert Syst. J. Knowl. Eng.
José Humberto Ablanedo-Rosas, Hongman Gao, Xiaochuan Zheng, Bahram Alidaee, Haibo Wang
2010 J jnl
Int. J. Appl. Metaheuristic Comput.
Jianing He, Haibo Wang
2010 J jnl
Int. J. Appl. Metaheuristic Comput.
Bahram Alidaee, Gary A. Kochenberger, Haibo Wang
2009 J jnl
J. Oper. Res. Soc.
Bahram Alidaee, Haibo Wang
2009 B conf
SMC
Tongdan Jin, Haibo Wang
2009 J jnl
IEEE Trans. Control. Syst. Technol.
Bahram Alidaee, Haibo Wang, Frank G. Landram
2009 J jnl
Int. J. Math. Oper. Res.
Bahram Alidaee, Gary A. Kochenberger, Karen R. Lewis, Mark W. Lewis, Haibo Wang
2009 B conf
SMC
Xijuan Shao, Yaohui Chen, Haibo Wang
2009 J jnl
Int. J. Math. Model. Numer. Optimisation
Haibo Wang, Gary A. Kochenberger, Bahram Alidaee, Mark W. Lewis
2008 J jnl
Eur. J. Oper. Res.
Bahram Alidaee, Gary A. Kochenberger, Karen R. Lewis, Mark W. Lewis, Haibo Wang
2008 J jnl
Commun. Stat. Simul. Comput.
Haibo Wang, Tom Obremski, Bahram Alidaee, Gary A. Kochenberger
2008 J jnl
J. Heuristics
Bahram Alidaee, Gary A. Kochenberger, Haibo Wang
2008 J jnl
Int. J. Inf. Technol. Decis. Mak.
Marco Better, Fred W. Glover, Gary A. Kochenberger, Haibo Wang
2007 Misc conf
International Conference on Computational Science (4)
Bahram Alidaee, Haibo Wang, Yaquan Xu
2007 J jnl
Optim. Lett.
Gary A. Kochenberger, Bahram Alidaee, Fred W. Glover, Haibo Wang
2007 J jnl
Eur. J. Oper. Res.
Bahram Alidaee, Fred W. Glover, Gary A. Kochenberger, Haibo Wang
2005 J jnl
J. Comb. Optim.
Gary A. Kochenberger, Fred W. Glover, Bahram Alidaee, Haibo Wang
2004 conf
PACIS
Haibo Wang, Bahram Alidaee, Fred W. Glover, Gary A. Kochenberger
2004 conf
AMCIS
Haibo Wang, Bahram Alidaee, Gary A. Kochenberger
redb/extractors/pe_extractors/pe_resources.py
← Index redb/extractors/pe_extractors/pe_resources.py python
from hashlib import sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika
import pefile
from pefile import UnicodeStringWrapperPostProcessor

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEResource


class PEResourceExtractor(PEExtractor):

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

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

    def _extract_resources(self):
        """
        Returns:
        resources: a list of dictionaries, one per each resources type found.
                    each dictionary the key represents the name of the content,
                    which is the value itself.
                    Empty list if no resources present.
        """
        self.log.debug(inspect.currentframe().f_code.co_name)
        resources_list = []
        try:
            if hasattr(self.pe, "DIRECTORY_ENTRY_RESOURCE"):
                for resource_type in self.pe.DIRECTORY_ENTRY_RESOURCE.entries:
                    # if resource_type.name is not None:
                    #     name = resource_type.name
                    # else:
                    #     name = pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    # if not name:
                    #     name = resource_type.struct.Id
                    name = (
                        resource_type.name
                        if resource_type.name is not None
                        else pefile.RESOURCE_TYPE.get(resource_type.struct.Id)
                    )
                    if isinstance(name, UnicodeStringWrapperPostProcessor):
                        name = name.decode()
                    try:
                        if hasattr(resource_type, "directory"):
                            for resource_id in resource_type.directory.entries:
                                if hasattr(resource_id, "directory"):
                                    for resource_lang in resource_id.directory.entries:
                                        rsrc_data = self.pe.get_data(
                                            resource_lang.data.struct.OffsetToData,
                                            resource_lang.data.struct.Size,
                                        )
                                        file_type = magic.from_buffer(rsrc_data)
                                        magik = Magika().identify_bytes(rsrc_data).output.label

                                        rsrc_entropy = (
                                            "%.2f"
                                            % pefile.SectionStructure.entropy_H(
                                                self.pe, rsrc_data
                                            )
                                        )
                                        rsrc_sha256 = sha256(rsrc_data).hexdigest()
                                        lang = pefile.LANG.get(
                                            resource_lang.data.lang, "*unknown*"
                                        )
                                        sublang = pefile.get_sublang_name_for_lang(
                                            resource_lang.data.lang,
                                            resource_lang.data.sublang,
                                        )
                                        pe_resource = PEResource(
                                            _id=rsrc_sha256,
                                            resource_type=name,
                                            resource_entropy=rsrc_entropy,
                                            resource_sha256=rsrc_sha256,
                                            resource_filetype=file_type,
                                            resource_magika=magik,
                                            resource_language=lang,
                                            resource_rva=resource_lang.data.struct.OffsetToData,
                                            resource_size=resource_lang.data.struct.Size,
                                            resource_sub_lang=sublang,
                                        )
                                        resources_list.append(pe_resource)
                    except Exception as e:
                        self.log.warning(
                            f"Continue after Error in {self.hash.sha256}: {resource_type.name} "
                            f"Exception: {e}",
                            stack_info=True,
                        )
                        # resources_list.append({f"{e} - {resource_type.name}"})
                        continue
        except Exception as e:
            self.log.exception(
                f"Extract exports error {self.hash.sha256} Exception: {e}"
            )
        self.log.debug(f"Resource list {resources_list}")
        return resources_list

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            resources = self._extract_resources()
            # self.export_to_elastic(resources)  # Let the exporters handle this
            return resources
        except Exception as e:
            self.log.error(f"Extract resources error {self.hash.sha256} Exception: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            resources = self.extract()
            if resources is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for resource in resources:
                data.append([
                    self.sha256,                    # sha256
                    self.md5,                       # md5
                    self.sha1,                      # sha1
                    resource.resource_type,         # resource_type
                    resource.resource_entropy,      # resource_entropy
                    resource.resource_sha256,       # resource_sha256
                    resource.resource_filetype,     # resource_filetype
                    resource.resource_magika,       # resource_magika
                    resource.resource_language,     # resource_language
                    resource.resource_sub_lang,     # resource_sub_lang
                    resource.resource_size,         # resource_size
                    resource.resource_rva,          # resource_rva
                    current_time                    # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'resource_type', 'resource_entropy',
                'resource_sha256', 'resource_filetype', 'resource_magika',
                'resource_language', 'resource_sub_lang', 'resource_size',
                'resource_rva', 'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'LowCardinality(Nullable(String))', 'Float64',
                'FixedString(64)', 'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))',
                'LowCardinality(Nullable(String))', 'LowCardinality(Nullable(String))', 'UInt64',
                'UInt64', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

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