K. Somasundaram

23 papers Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Ambient Intell. Humaniz. Comput.
R. Premalatha, K. Somasundaram
2025 J jnl
Multim. Tools Appl.
Kalaiselvi T., Veerakumar P., Thahira Banu Azeez, K. Somasundaram, S. Praveenkumar, Sriramakrishnan P.
2025 J jnl
Multim. Tools Appl.
R. Premalatha, K. Somasundaram
2025 J jnl
Expert Syst. Appl.
K. Somasundaram, P. Rajesh Kanna
2024 J jnl
Multim. Tools Appl.
V. Arulkumar, M. Aruna, D. Prakash, M. Amanullah, K. Somasundaram, Rajendran Thavasimuthu
2024 conf
ICCCNT
S. Harish, K. Karthie Krishna, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam
2024 conf
ICCCNT
K. R. Hanish, G. Sukantha Velan, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam
2024 J jnl
Intell. Converged Networks
M. Sahaya Sheela, A. Gnana Soundari, Aditya Mudigonda, C. Kalpana, K. Suresh, K. Somasundaram, Yousef Farhaoui
2024 conf
ICCCNT
K. S. Harshni Sri, S. Sri Kailaash Kumar, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Selvanayaki Kolandapalayam Shanmugam
2024 conf
ICCCNT
Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, Ram Gopal Pulgurthi, Meenakshi Y. Dhar
2024 conf
ICCCNT
S. Sri Kailaash Kumar, K. S. Harshni Sri, Avadhani Bindu, Senthil Kumar Thangavel, K. Somasundaram, Sathyan Parthasaradhi, M. C. Shunmugapriya, Selvanayaki Kolandapalayam Shanmugam
2024 conf
IC3I
Akabarsaheb Babulal Nadaf, Lambodar Saha, Sphurti Birajdar, Amol Gajdhane, S. Muthurajan, K. Somasundaram
2024 conf
ICCCNT
K. Sreekar, V. Aswin, Vishnu Narayanan, Senthil Kumar Thangavel, K. Somasundaram, Selvanayaki Kolandapalayam Shanmugam
2024 conf
ICCCNT
Rahul Ravikumar, M. V. Sujith Kumaar, Shirish Krishna, M. Jayasurkanth, Vr Yasshwanth, Sanjay Kishore Saravanan, Senthil Kumar Thangavel, S. Thangeswari, K. Somasundaram, Selvanayaki Kolandapalayam Shanmugam
2024 conf
ICCCNT
Amisha Srivastava, K. Gayathri, Senthil Kumar Thangavel, Pullela Meghana, S. Vishvajit, B. Senthil Kumar, K. Somasundaram
2023 J jnl
J. Inf. Sci. Eng.
Supriya Sridharan, Swaminathan Venkatraman, K. Somasundaram
2022 J jnl
Neural Comput. Appl.
T. Kalaiselvi, S. T. Padmapriya, K. Somasundaram, S. Praveenkumar
2021 J jnl
J. Medical Imaging Health Informatics
A. Mathan Gopi, R. Ganesan, K. Somasundaram
2019 conf
AMCIS
K. Pushpavathi, K. Somasundaram, Vijayan Sugumaran
2016 J jnl
Electron. Notes Discret. Math.
Andreas M. Hinz, S. Arumugam, Rangaswami Balakrishnan, S. Francis Raj, T. Karthick, K. Somasundaram, Xuding Zhu
2012 J jnl
CoRR
K. Somasundaram, S. Vimala
2009 J jnl
Int. J. Comput. Commun. Control
K. Somasundaram, S. Radhakrishnan
2008 J jnl
Appl. Math. Lett.
S. Maria Arulraj, K. Somasundaram
redb/extractors/pe_extractors/pe_sections.py
← Index redb/extractors/pe_extractors/pe_sections.py python
import base64
import hashlib
import inspect
from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PESection
from datetime import datetime, timezone
from typing import Any


class PESectionExtractor(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_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def _extract_sections(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        sections = []
        for section in self.pe.sections:
            try:
                name = self.process_binary_string(section.Name)
            except Exception as e:
                name = "UnableToDecode"
                self.log.warning(
                    f'Unable to store section Name "{section.Name}" for {self.hash.sha256}'
                    f" exception {e}"
                )
            sec_sha256 = section.get_hash_sha256()
            sec_md5 = section.get_hash_md5()
            # sec_entropy = "%.2f" % section.get_entropy()
            sec_entropy = section.get_entropy()
            pe_section = PESection(
                _id=hashlib.sha256(
                    name.encode()
                ).hexdigest(),  # usecase 8e035beb02a411f8a9e92d4cf184ad34f52bbd0a81a50c222cdd4706e4e45104, all section have same sha256
                section_name=name,
                section_name_b64=base64.b64encode(
                    section.Name.rstrip(b'\x00')
                ).decode(),  # base64.b64decode(b64) to decode
                section_v_addr=section.VirtualAddress,
                section_v_addr_hex=hex(section.VirtualAddress),
                section_v_size=section.Misc_VirtualSize,
                section_size=section.SizeOfRawData,
                section_pointer_to_raw_data=hex(section.PointerToRawData),
                section_md5=sec_md5,
                section_sha256=sec_sha256,
                section_entropy=sec_entropy,
            )
            sections.append(pe_section)
        return sections

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

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            sections = self.extract()
            if sections is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for section in sections:
                data.append([
                    self.sha256,                          # sha256
                    self.md5,                             # md5
                    self.sha1,                            # sha1
                    section.section_name,                 # section_name
                    section.section_name_b64,             # section_name_b64
                    section.section_entropy,              # section_entropy
                    section.section_sha256,               # section_sha256
                    section.section_md5,                  # section_md5
                    section.section_size,                 # section_size
                    section.section_v_addr,               # section_v_addr
                    section.section_v_size,               # section_v_size
                    int(section.section_pointer_to_raw_data, 16),  # section_pointer_to_raw_data - convert from hex
                    current_time                          # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'section_name', 'section_name_b64',
                'section_entropy', 'section_sha256', 'section_md5', 'section_size',
                'section_v_addr', 'section_v_size', 'section_pointer_to_raw_data',
                'analysis_date'
            ]
            
            if not data:
                return None

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

            return (data, column_names, column_type_names)

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