K. S. Easwarakumar

48 papers B 2C 1Misc 2Journal 32Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sustain. Comput. Informatics Syst.
V. M. Sivagami, K. S. Easwarakumar, D. Jayanthi, S. Kalavathi
2025 J jnl
Symmetry
Ajay Mukund S, K. S. Easwarakumar
2024 J jnl
Computing
Kalaichelvi Nallusamy, K. S. Easwarakumar
2023 J jnl
Netw. Model. Anal. Health Informatics Bioinform.
Kalaichelvi Nallusamy, K. S. Easwarakumar
2023 J jnl
J. Supercomput.
V. Sudha, K. S. Easwarakumar
2022 conf
ICCCSP
N. Kalaichelvi, K. S. Easwarakumar
2022 J jnl
Intell. Autom. Soft Comput.
Kalaichelvi Nallusamy, K. S. Easwarakumar
2020 J jnl
Int. J. Intell. Inf. Technol.
K. S. Gayathri, K. S. Easwarakumar, Susan Elias
2019 J jnl
Future Gener. Comput. Syst.
V. M. Sivagami, K. S. Easwarakumar
2019 J jnl
J. Signal Process. Syst.
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2019 J jnl
Pattern Recognit. Lett.
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2019 J jnl
IEEE CAA J. Autom. Sinica
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2019 J jnl
CoRR
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2018 J jnl
Int. J. Intell. Inf. Technol.
T. Hema, K. S. Easwarakumar
2017 J jnl
Knowl. Based Syst.
K. S. Gayathri, K. S. Easwarakumar, Susan Elias
2017 J jnl
IEEE Signal Process. Lett.
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2017 J jnl
CoRR
Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar
2016 J jnl
CoRR
T. Hema, K. S. Easwarakumar
2016 conf
ICIA
T. Hema, K. S. Easwarakumar
2015 J jnl
CoRR
K. S. Easwarakumar, T. Hema
2012 J jnl
Int. J. Comput. Appl. Technol.
D. Doreen Hephzibah Miriam, K. S. Easwarakumar
2012 J jnl
Int. J. Commun. Networks Distributed Syst.
D. Doreen Hephzibah Miriam, K. S. Easwarakumar
2010 conf
ICICA (LNCS)
D. Doreen Hephzibah Miriam, K. S. Easwarakumar
2010 conf
Bangalore Compute Conf.
S. Pushpa, K. S. Easwarakumar, Susan Elias, Zakaria Maamar
2010 J jnl
Int. J. Commun. Networks Distributed Syst.
Jayashree Padmanabhan, K. S. Easwarakumar
2009 B conf
ICCCN
Susan Elias, Lisa Mathew, K. S. Easwarakumar, Richard Chbeir
2009 Misc conf
ICDCN
Jayashree Padmanabhan, K. S. Easwarakumar
2009 C conf
SIN
Jayashree Padmanabhan, K. S. Easwarakumar, Gokul B., Harishankar S.
2008 conf
ICETET
Jayashree Padmanabhan, K. S. Easwarakumar, V. Anandharaman, K. Aswin, S. Raja Vijay
2008 conf
HPCNCS
Jayashree Padmanabhan, K. S. Easwarakumar, V. Anandharaman, K. Aswin, S. Raja Vijay
2007 J jnl
Neural Comput. Appl.
T. Santhanam, C. P. Sumathi, K. S. Easwarakumar
2007 J jnl
Int. J. Comput. Math.
Arun Murugan, K. S. Easwarakumar
2007 conf
ICDIM
Susan Elias, V. Palaniappan, K. S. Easwarakumar, Lisa Mathew, Richard Chbeir
2006 Misc conf
SAC
Susan Elias, K. S. Easwarakumar, Richard Chbeir
2006 conf
ICDIM
Susan Elias, Suprema Raj, Uma Lakshmanan, Sunaina Premkumar, K. S. Easwarakumar, Richard Chbeir
2006 conf
WEBIST (1)
S. Santhosh Baboo, P. Subashini, K. S. Easwarakumar
2006 conf
ICEIS (1)
S. Santhosh Baboo, P. Subashini, K. S. Easwarakumar
2006 J jnl
Int. J. Comput. Math.
Arun Murugan, K. S. Easwarakumar
2006 J jnl
J. Digit. Inf. Manag.
Susan Elias, K. S. Easwarakumar, Lisa Mathew, Richard Chbeir
2005 conf
SITIS
Susan Elias, K. S. Easwarakumar, Lisa Mathew, Richard Chbeir
2005 J jnl
Int. J. Comput. Math.
K. S. Easwarakumar, Arun Murugan
2004 J jnl
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
C. P. Sumathi, T. Santhanam, K. S. Easwarakumar, Bhanu Prasad
2004 B conf
PRICAI
V. Kavitha, K. S. Easwarakumar
2004 J jnl
Int. J. Comput. Math.
Arun Murugan, K. S. Easwarakumar
2003 J jnl
Int. J. Neural Syst.
B. Poorna, K. S. Easwarakumar
2001 J jnl
Pattern Recognit. Lett.
B. Poorna, K. S. Easwarakumar
1996 J jnl
Algorithmica
K. S. Easwarakumar, S. V. Krishnan, C. Pandu Rangan, S. Seshadri
1994 J jnl
Inf. Process. Lett.
K. S. Easwarakumar, C. Pandu Rangan, Grant A. Cheston
redb/extractors/elf_extractors/elf_dependencies.py
← Index redb/extractors/elf_extractors/elf_dependencies.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Dict

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFDependency


class ELFDependencyExtractor(ELFExtractor):

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

    def _map_dependency_type(self, dt_tag_str: str) -> int:
        """Map dynamic tag string to enum value."""
        type_map = {
            'DT_NEEDED': 1,
            'DT_SONAME': 14,
            'DT_RPATH': 15,
            'DT_RUNPATH': 29
        }
        return type_map.get(dt_tag_str, 0)

    def _extract_dynamic_dependencies(self, elf) -> List[Dict]:
        """Extract dependencies from the dynamic section."""
        dependencies = []

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                self.log.debug("No .dynamic section found")
                return dependencies

            # Iterate through dynamic tags
            for tag in dynamic_section.iter_tags():
                dt_tag = tag.entry.d_tag

                # Handle different dependency types
                if dt_tag == 'DT_NEEDED':
                    # Required library
                    dependency_name = tag.needed
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_NEEDED'),
                        dependency_type_str='NEEDED'
                    ))

                elif dt_tag == 'DT_SONAME':
                    # Shared object name
                    dependency_name = tag.soname
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_SONAME'),
                        dependency_type_str='SONAME'
                    ))

                elif dt_tag == 'DT_RPATH':
                    # Runtime library search path
                    dependency_name = tag.rpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RPATH'),
                        dependency_type_str='RPATH'
                    ))

                elif dt_tag == 'DT_RUNPATH':
                    # Runtime library search path (newer)
                    dependency_name = tag.runpath
                    dependencies.append(ELFDependency(
                        dependency_name=dependency_name,
                        dependency_type=self._map_dependency_type('DT_RUNPATH'),
                        dependency_type_str='RUNPATH'
                    ))

        except Exception as e:
            self.log.error(f"Error extracting dynamic dependencies: {e}")

        return dependencies

    def tag(self):
        return Tag.ELF_DEPENDENCIES.value if hasattr(Tag, 'ELF_DEPENDENCIES') else "elf_dependencies"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                # Extract dependencies - returns list of ELFDependency dataclasses
                dependencies = self._extract_dynamic_dependencies(elf)
                return dependencies

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_dependencies = result
            return self.elf_dependencies

        except Exception as e:
            self.log.error(f"Error extracting ELF dependencies {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_dependencies
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no dependencies (e.g., statically linked binary)
                # None is reserved for actual errors

                # Prepare data arrays for all dependencies
                data = []
                current_time = datetime.now(timezone.utc)
                for dep in self.elf_dependencies:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        dep.dependency_name,
                        dep.dependency_type,
                        dep.dependency_type_str,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'dependency_name', 'dependency_type', 'dependency_type_str',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)',
                    "Enum8('NEEDED'=1, 'SONAME'=14, 'RPATH'=15, 'RUNPATH'=29)",
                    'LowCardinality(String)',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

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