Idris A. Eckley

37 papers Journal 33Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Stat. Comput.
Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead
2024 J jnl
IEEE Trans. Signal Process.
Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2024 J jnl
Stat. Comput.
Ziyang Yang, Idris A. Eckley, Paul Fearnhead
2024 J jnl
Stat. Comput.
Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2024 J jnl
Technometrics
Edward Austin, Idris A. Eckley, Lawrence Bardwell
2024 J jnl
J. Stat. Softw.
Alexander Tristan Maximilian Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell
2023 J jnl
J. Mach. Learn. Res.
Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill
2023 J jnl
Comput. Stat. Data Anal.
Edward Austin, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2023 J jnl
Stat. Anal. Data Min.
Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead
2022 J jnl
Stat. Anal. Data Min.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2022 J jnl
IEEE Netw.
Nicholas J. P. Race, Idris A. Eckley, Ajith Kumar Parlikad, Charalampos Rotsos, Ning Wang, Robert J. Piechocki, Philip Stiles, Arjun Parekh, Trevor Burbridge, Peter Willis, Stephen A. Cassidy
2022 J jnl
IEEE Trans. Signal Process.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2022 J jnl
Stat. Comput.
Alexander Tristan Maximilian Fisch, Lawrence Bardwell, Idris A. Eckley
2022 J jnl
J. Comput. Graph. Stat.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2021 J jnl
Stat. Comput.
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
2020 J jnl
Stat. Comput.
Georg Hahn, Paul Fearnhead, Idris A. Eckley
2019 J jnl
Data Min. Knowl. Discov.
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
2019 J jnl
Stat. Comput.
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2019 J jnl
Technometrics
Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott
2019 J jnl
CoRR
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2018 J jnl
Signal Process.
Timothy Park, Idris A. Eckley, Hernando C. Ombao
2018 J jnl
Stat. Comput.
Matthew Ludkin, Idris A. Eckley, Peter Neal
2018 conf
IEEE BigData
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2017 J jnl
Stat. Comput.
Kaylea Haynes, Paul Fearnhead, Idris A. Eckley
2017 J jnl
Stat. Comput.
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
2016 J jnl
Stat. Comput.
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2015 J jnl
CoRR
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2015 J jnl
Technometrics
Christopher F. H. Nam, John A. D. Aston, Idris A. Eckley, Rebecca Killick
2014 J jnl
R J.
Matthew A. Nunes, Sarah L. Taylor, Idris A. Eckley
2014 J jnl
Technometrics
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
2014 J jnl
IEEE Trans. Signal Process.
Timothy Park, Idris A. Eckley, Hernando C. Ombao
2013 J jnl
Commun. Stat. Simul. Comput.
Aimee N. Gott, Idris A. Eckley
2013 conf
SDF
Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley
2005 J jnl
Stat. Comput.
Idris A. Eckley, Guy P. Nason
2004 conf
SSPR/SPR
Ross A. McDonald, Idris A. Eckley, David J. Hand
2004 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Ross A. McDonald, David J. Hand, Idris A. Eckley
2003 conf
Multiple Classifier Systems
Ross A. McDonald, David J. Hand, Idris A. Eckley
redb/extractors/pe_extractors/pe_overlay.py
← Index redb/extractors/pe_extractors/pe_overlay.py python
from hashlib import md5, sha1, sha256
import inspect
from datetime import datetime, timezone
from typing import Any

import magic
from magika import Magika

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


class PEOverlayExtractor(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_overlay"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_pe_overlay(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        overlay = self.pe.get_overlay()
        if overlay:
            return PEOverlay(
                _id=sha256(overlay).hexdigest(),
                overlay_size=len(overlay),
                overlay_entropy=self.calculate_entropy(overlay),
                overlay_offset=self.pe.get_overlay_data_start_offset(),
                overlay_mimetype=magic.from_buffer(overlay, mime=True),
                overlay_type=magic.from_buffer(overlay),
                overlay_magika=Magika().identify_bytes(overlay).output.ct_label,
                overlay_sha256=sha256(overlay).hexdigest(),
                overlay_sha1=sha1(overlay).hexdigest(),
                overlay_md5=md5(overlay).hexdigest(),
            )
        return None

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            overlay = self._extract_pe_overlay()
            # self.export_to_elastic([overlay])  # Let the exporters handle this
            return overlay
        except Exception as e:
            self.log.error(f"Error extracting PE overlay: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            overlay = self.extract()
            if overlay is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            data.append([
                self.sha256,              # sha256
                self.md5,                 # md5
                self.sha1,                # sha1
                overlay.overlay_size,     # overlay_size
                overlay.overlay_entropy,  # overlay_entropy
                overlay.overlay_offset,   # overlay_offset
                overlay.overlay_mimetype, # overlay_mimetype
                overlay.overlay_type,     # overlay_type
                overlay.overlay_magika,   # overlay_magika
                overlay.overlay_sha256,   # overlay_sha256
                overlay.overlay_sha1,     # overlay_sha1
                overlay.overlay_md5,      # overlay_md5
                current_time             # analysis_date
            ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'overlay_size', 'overlay_entropy',
                'overlay_offset', 'overlay_mimetype', 'overlay_type', 'overlay_magika',
                'overlay_sha256', 'overlay_sha1', 'overlay_md5',
                'analysis_date'
            ]
            
            if not data:
                return None

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

            return (data, column_names, column_type_names)

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