Valentina Gatteschi

52 papers B 10C 7Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expert Syst. Appl.
Emanuele Antonio Napoli, Noemi Romani, Valentina Gatteschi, Claudio Schifanella
2026 J jnl
CoRR
Silvio Meneguzzo, Claudio Schifanella, Valentina Gatteschi, Giuseppe Destefanis
2025 conf
GoodIT
Alberto Butera, Noemi Romani, Silvio Meneguzzo, Valentina Gatteschi
2025 B conf
COMPSAC
Alberto Butera, Julia Staszczak, Patrick Mikalef, Valentina Gatteschi
2025 C conf
ICBC
Emanuele Antonio Napoli, Natkamon Tovanich, Valentina Gatteschi
2025 J jnl
CoRR
Silvio Meneguzzo, Claudio Schifanella, Valentina Gatteschi, Giuseppe Destefanis
2025 B conf
COMPSAC
Emanuele Antonio Napoli, Lorenzo Gangemi, Silvio Meneguzzo, Noemi Romani, Valentina Gatteschi
2025 C conf
DLT
Emanuele Antonio Napoli, Ivan Spada, Noemi Romani, Valentina Gatteschi, Claudio Schifanella
2024 C conf
DLT
Fadi Barbàra, Emanuele Antonio Napoli, Valentina Gatteschi, Claudio Schifanella
2024 B conf
SEAA
Alberto Amico, Vincenzo Apicella, Devis Bianchini, Alberto Butera, Matteo Cesana, Gabriele Digregorio, Massimiliano Garda, Valentina Gatteschi, Corrado Innamorati, Francesco Leotta, Stefano Longari, Maria Rosa Pizzo, Pierluigi Plebani, Noemi Romani, Letizia Tanca, Andrea Vitaletti, Stefano Zanero
2024 conf
BRAINS
Alberto Butera, Valentina Gatteschi
2024 C conf
DLT
Alberto Butera, Noemi Romani, Valentina Gatteschi
2024 B conf
COMPSAC
Emanuele Antonio Napoli, Fadi Barbàra, Valentina Gatteschi, Claudio Schifanella
2024 B conf
COMPSAC
Silvio Meneguzzo, Stefano Bergia, Alfredo Favenza, Claudio Schifanella, Alessandro Mozzato, Valentina Gatteschi
2023 conf
GoodIT
Emanuele Antonio Napoli, Valentina Gatteschi
2023 J jnl
IEEE Access
Alberto Butera, Valentina Gatteschi, Filippo Gabriele Pratticò, Daniela Novaro, Deborah Vianello
2023 C conf
ICCE
Nicolò Chiapello, Ilario Gerlero, Valentina Gatteschi, Fabrizio Lamberti
2023 B conf
COMPSAC
Emanuele Antonio Napoli, Valentina Gatteschi
2023 B conf
COMPSAC
Silvio Meneguzzo, Alfredo Favenza, Valentina Gatteschi, Claudio Schifanella
2023 conf
BRAINS
Silvio Meneguzzo, Alfredo Favenza, Valentina Gatteschi, Claudio Schifanella
2022 conf
XR (1)
Alberto Cannavò, Valentina Gatteschi, Luca Macis, Fabrizio Lamberti
2022 J jnl
IEEE Trans. Veh. Technol.
Valentina Gatteschi, Alberto Cannavò, Fabrizio Lamberti, Lia Morra, Paolo Montuschi
2022 J jnl
IT Prof.
Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra
2021 J jnl
IEEE Trans. Vis. Comput. Graph.
Alberto Cannavò, Davide Calandra, Filippo Gabriele Pratticò, Valentina Gatteschi, Fabrizio Lamberti
2021 J jnl
IEEE Trans. Emerg. Top. Comput.
Lia Morra, Valentina Gatteschi, Saraju P. Mohanty, Yuan-Hao Chang
2020 J jnl
CoRR
Alberto Cannavò, Davide Calandra, Filippo Gabriele Pratticò, Valentina Gatteschi, Fabrizio Lamberti
2020 J jnl
IEEE Access
Claudio Giovanni Demartini, Lorenzo Benussi, Valentina Gatteschi, Flavio Renga
2019 J jnl
Int. J. Hum. Comput. Interact.
Fabrizio Lamberti, Valentina Gatteschi, Andrea Sanna, Alberto Cannavò
2019 conf
ISCT
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini
2019 J jnl
IEEE Trans. Veh. Technol.
Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino
2018 J jnl
Future Internet
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini, Chiara Pranteda, Victor Santamaria
2018 J jnl
IEEE Consumer Electron. Mag.
Fabrizio Lamberti, Valentina Gatteschi, Claudio Giovanni Demartini, Matteo Pelissier, Alfonso Gomez, Victor Santamaria
2018 J jnl
IT Prof.
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini, Chiara Pranteda, Victor Santamaria
2018 J jnl
IEEE Trans. Vis. Comput. Graph.
Fabrizio Lamberti, Gianluca Paravati, Valentina Gatteschi, Alberto Cannavò, Paolo Montuschi
2017 J jnl
IEEE Trans. Learn. Technol.
Gianluca Paravati, Fabrizio Lamberti, Valentina Gatteschi, Claudio Giovanni Demartini, Paolo Montuschi
2017 J jnl
IEEE Trans. Ind. Informatics
Fabrizio Lamberti, Gianluca Paravati, Valentina Gatteschi, Alberto Cannavò
2016 conf
AVR (1)
Federica Bazzano, Federico Gentilini, Fabrizio Lamberti, Andrea Sanna, Gianluca Paravati, Valentina Gatteschi, Marco Gaspardone
2016 J jnl
IEEE Intell. Syst.
Valentina Gatteschi, Fabrizio Lamberti, Paolo Montuschi, Andrea Sanna
2016 B conf
COMPSAC
Valentina Gatteschi, Fabrizio Lamberti, Gianluca Paravati, Alessandro Raso, Claudio Giovanni Demartini
2015 J jnl
IT Prof.
Paolo Montuschi, Fabrizio Lamberti, Valentina Gatteschi, Claudio Giovanni Demartini
2015 conf
IEEE MS
Valentina Gatteschi, Fabrizio Lamberti, Andrea Sanna, Claudio Giovanni Demartini
2015 J jnl
Sensors
Gianluca Paravati, Valentina Gatteschi
2015 B conf
COMPSAC
Gianluca Paravati, Fabrizio Lamberti, Valentina Gatteschi
2015 B conf
COMPSAC
Valentina Gatteschi, Fabrizio Lamberti, Gianluca Paravati, Andrea Sanna, Claudio Giovanni Demartini, Alberto Lisanti, Giorgio Venezia
2014 C conf
EDUCON
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini
2014 J jnl
IT Prof.
Paolo Montuschi, Valentina Gatteschi, Fabrizio Lamberti, Andrea Sanna, Claudio Giovanni Demartini
2013
Valentina Gatteschi
2013 ch.
Semantic Hyper/Multimedia Adaptation
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini
2012 J jnl
J. Univers. Comput. Sci.
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini, Rob van Wezel, Simonetta Bettiol
2012 J jnl
Comput. Vis. Sci.
Gianluca Paravati, Valentina Gatteschi, Gilles Carlevaris
2012 C conf
EDUCON
Valentina Gatteschi, Fabrizio Lamberti, Claudio Giovanni Demartini
2011 J jnl
J. Univers. Comput. Sci.
Valentina Gatteschi, Fabrizio Lamberti, Andrea Sanna, Claudio Giovanni Demartini
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"