Olga Chukhno

36 papers B 4Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Netw.
Olga Chukhno, Nadezhda Chukhno, Aleksandr Ometov, Sara Pizzi, Giuseppe Araniti, Antonella Molinaro
2026 J jnl
IEEE Commun. Mag.
Olga Chukhno, Francesco Malandrino, Alessandro Catania, Antonella Molinaro, Carla-Fabiana Chiasserini
2026 J jnl
IEEE Trans. Mob. Comput.
Olga Chukhno, Dmitri Moltchanov, Gianluca Brancati, Sara Pizzi, Antonella Molinaro, Giuseppe Araniti
2025 J jnl
IEEE Open J. Commun. Soc.
Dmitri Moltchanov, Olga Chukhno, Nadezhda Chukhno, Antonella Molinaro
2025 J jnl
IEEE Access
Chiara Suraci, Olga Chukhno, Gabriel-Miro Muntean, Antonella Molinaro, Giuseppe Araniti
2025 conf
INFOCOM WKSHPS
Olga Chukhno, Gurtaj Singh, Claudia Campolo, Carla-Fabiana Chiasserini, Antonella Molinaro
2025 J jnl
CoRR
Francesco Malandrino, Olga Chukhno, Alessandro Catania, Antonella Molinaro, Carla-Fabiana Chiasserini
2025 J jnl
IEEE Netw. Lett.
Francesco Malandrino, Olga Chukhno, Alessandro Catania, Antonella Molinaro, Carla-Fabiana Chiasserini
2024 J jnl
IEEE Trans. Broadcast.
Nadezhda Chukhno, Olga Chukhno, Sara Pizzi, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
2024 conf
MeditCom
Gurtaj Singh, Olga Chukhno, Claudia Campolo, Antonella Molinaro, Carla-Fabiana Chiasserini
2024 J jnl
Comput. Commun.
Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera, Antonella Molinaro
2024 J jnl
IEEE Commun. Surv. Tutorials
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Sara Pizzi, Anna Gaydamaka, Andrey Samuylov, Antonella Molinaro, Yevgeni Koucheryavy, Antonio Iera, Giuseppe Araniti
2024 conf
BMSB
Gianluca Brancati, Olga Chukhno, Antonella Molinaro, Sergey Andreev, Giuseppe Araniti
2024 B conf
PIMRC
Gianluca Brancati, Olga Chukhno, Antonella Molinaro, Giuseppe Araniti
2023 conf
NET4us@MobiCom
Olga Chukhno, Gurtaj Singh, Claudia Campolo, Antonella Molinaro, Carla-Fabiana Chiasserini
2023 J jnl
IEEE Open J. Commun. Soc.
Olga Chukhno, Nadezhda Chukhno, Sara Pizzi, Antonino Orsino, Helka-Liina Määttänen, Johan Torsner, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
2023 J jnl
IEEE Trans. Mob. Comput.
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Antonella Molinaro, Yuliya Gaidamaka, Konstantin E. Samouylov, Yevgeni Koucheryavy, Giuseppe Araniti
2023 conf
BMSB
Gianluca Brancati, Ernesto Fontes Pupo, Olga Chukhno, Nadezhda Chukhno, Maurizio Murroni, Giuseppe Araniti
2023 J jnl
IEEE Trans. Broadcast.
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Anna Gaydamaka, Andrey Samuylov, Antonella Molinaro, Yevgeni Koucheryavy, Antonio Iera, Giuseppe Araniti
2023
Olga Chukhno
2023 J jnl
IEEE Netw. Lett.
Olga Chukhno, Olga Galinina, Sergey Andreev, Antonella Molinaro, Antonio Iera
2022 J jnl
IEEE Trans. Wirel. Commun.
Olga Chukhno, Nadezhda Chukhno, Olga Galinina, Sergey Andreev, Yuliya Gaidamaka, Konstantin E. Samouylov, Giuseppe Araniti
2022 J jnl
IEEE Commun. Mag.
Olga Chukhno, Olga Galinina, Sergey Andreev, Antonella Molinaro, Antonio Iera
2022 B conf
GLOBECOM
Olga Chukhno, Nadezhda Chukhno, Sara Pizzi, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
2022 J jnl
IEEE Internet Things J.
Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera, Antonella Molinaro
2022 B conf
PIMRC
Gianluca Brancati, Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti
2021 J jnl
Comput. Networks
Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raul Casanova Marques, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, Elena Simona Lohan
2021 J jnl
IEEE Trans. Broadcast.
Nadezhda Chukhno, Olga Chukhno, Sara Pizzi, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
2021 conf
BMSB
Nadezhda Chukhno, Olga Chukhno, Sara Pizzi, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
2021 conf
CF
Aleksandr Ometov, Olga Chukhno, Nadezhda Chukhno, Jari Nurmi, Elena Simona Lohan
2020 J jnl
Sensors
Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera, Antonella Molinaro
2019 conf
ITTMM (Selected Papers)
Olga Chukhno, Nadezhda Chukhno, Konstantin E. Samouylov, Sergey Shorgin
2019 B conf
GLOBECOM
Olga Chukhno, Nadezhda Chukhno, Olga Galinina, Yuliya Gaidamaka, Sergey Andreev, Konstantin E. Samouylov
2019 conf
NEW2AN
Nadezhda Chukhno, Olga Chukhno, Sergey Shorgin, Konstantin E. Samouylov, Olga Galinina, Yuliya Gaidamaka
2019 conf
NEW2AN
Olga Chukhno, Nadezhda Chukhno, Anna Gaidamaka, Konstantin E. Samouylov, Enrique Herrera-Viedma
2018 conf
ICUMT
Nadezhda Chukhno, Konstantin E. Samouylov, Olga Chukhno, Anna Gaidamaka, Enrique Herrera-Viedma
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
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 MachOImport


class MachOImportExtractor(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_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {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

            # Flatten the data - one row per function import (like PE imports)
            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 imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

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

            return (data, column_names, column_type_names)

        return None

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