In Young Kim

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Access
Myung-Kyu Yi, Jongshill Lee, Jeyeon Lee, In Young Kim
2025 J jnl
IEEE Access
Seungyeon Lee, Ho Bin Hwang, Incheol Han, Jiho Ha, Myung-Kyu Yi, Jeyeon Lee, Jongshill Lee, In Young Kim
2024 J jnl
IEEE Access
Jinhak Lee, Ho Bin Hwang, Seungjae Lee, Jayon Kim, Jeyeon Lee, Sanghag Kim, Jung Hee Ha, Yoojin Jang, Sejin Hwang, Hoon-Ki Park, Jongshill Lee, In Young Kim
2024 J jnl
BMC Medical Informatics Decis. Mak.
Borum Nam, Beomjun Bark, Jeyeon Lee, In Young Kim
2024 J jnl
Sensors
Ho Bin Hwang, Jeyeon Lee, Hyeokchan Kwon, Byungho Chung, Jongshill Lee, In Young Kim
2023 J jnl
Appl. Intell.
Borum Nam, Joo Young Kim, Beomjun Bark, Yeongmyeong Kim, Jiyoon Kim, Soon Won So, Hyung Youn Choi, In Young Kim
2023 J jnl
Eng. Appl. Artif. Intell.
Jinuk Kwon, Hyerin Nam, Younsoo Chae, Seungjae Lee, In Young Kim, Chang-Hwan Im
2023 J jnl
BMC Medical Informatics Decis. Mak.
Beomjun Bark, Borum Nam, In Young Kim
2022 J jnl
IEEE Access
Soobin Lee, Seungjae Lee, Eunkyoung Park, Jongshill Lee, In Young Kim
2022 J jnl
Comput. Methods Programs Biomed.
Sungmin You, Baek Hwan Cho, Young-Min Shon, Dae-Won Seo, In Young Kim
2021 J jnl
Sensors
Ho Bin Hwang, Hyeokchan Kwon, Byungho Chung, Jongshill Lee, In Young Kim
2021 J jnl
ACM Trans. Appl. Percept.
Jeongbong Choi, Soon-Hyung Yook, In Young Kim, Mok Kun Jeong, Dong-Pyo Jang
2020 J jnl
Sensors
Seungjae Lee, Hyejeong Lee, Jongshill Lee, Hokyoung Ryu, In Young Kim, Jieun Kim
2020 J jnl
Sensors
Jongshill Lee, Minseong Kim, Hoon Ki Park, In Young Kim
2020 J jnl
Comput. Methods Programs Biomed.
Sungmin You, Baek Hwan Cho, Soon-Hyung Yook, Joo Young Kim, Young-Min Shon, Dae-Won Seo, In Young Kim
2019 J jnl
Comput. Methods Programs Biomed.
Joo Young Kim, Kyunghan Ro, Sungmin You, Borum Nam, Sunhyun Yook, Hee Seol Park, Jae Chul Yoo, Eunkyoung Park, Kyeongwon Cho, Baek Hwan Cho, In Young Kim
2018 J jnl
Cyberpsychology Behav. Soc. Netw.
Deokjong Lee, Sung Jun Hong, Young-Chul Jung, Jinsick Park, In Young Kim, Kee Namkoong
2018 J jnl
Sensors
Do Yeon Kim, Jinuk Kwon, Joo-Young Kim, Ho-Seung Cha, Yong-Wook Kim, In Young Kim, Chang-Hwan Im
2018 J jnl
Biomed. Signal Process. Control.
Young-Ju Kim, Kyoung Won Nam, Jun Chang Lee, Jong Ho Hwang, Dong Pyo Jang, In Young Kim
2013 conf
BCI
Jeyeon Lee, Hosuk Choi, Taekyung Kim, Hojong Lee, In Young Kim, Dong Pvo Jang, Sunkyue Kim, Jeongeun Lee, Kyung-Ha Ahn, Kyoung-Min Lee
2004 J jnl
NeuroImage
Jong-Min Lee, Sun Hyung Kim, Dong Pyo Jang, Tae Hyon Ha, Jae-Jin Kim, In Young Kim, Jun Soo Kwon, Sun I. Kim
redb/extractors/detectiteasy.py
← Index redb/extractors/detectiteasy.py python
import inspect
from pprint import pprint
import subprocess
import json
from typing import Any
from datetime import datetime, timezone
import os
from dotenv import load_dotenv

from redb.extractors.enum import Tag
from redb.models.dataclasses import DIEinfo
from redb.extractors.extractor import Extractor

load_dotenv(override=True)

class DIEExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        precomputed_hashes=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix, elastic_index, known_benign, known_malicious,
            precomputed_hashes=precomputed_hashes
        )
        self.log.debug(inspect.currentframe().f_code.co_name)
        self.die_info = None
        self.die_info_dict = {}
        self.elastic_index = self.index_prefix + "-die"

    def _recursive_entry(self, die_dict, master_key):
        self.log.debug(inspect.currentframe().f_code.co_name)
        if master_key:
            self.die_info_dict[master_key] = {}
        else:
            self.die_info_dict = {}
        for value in die_dict:
            if "type" in value:
                type_key = value["type"].lower().replace(" ", "_")
                name = value.get("name", "")
                version = f"({value.get('version')})" if value.get("version") else ""
                info = f"[{value.get('info')}]" if value.get("info") else ""

                if master_key:
                    self.die_info_dict[master_key][type_key] = f"{name}"
                    self.die_info_dict[master_key][f'{type_key}(full)'] = f"{name}{version}{info}"
                else:
                    self.die_info_dict[type_key] = f"{name}"
                    self.die_info_dict[f'{type_key}(full)'] = f"{name}{version}{info}"

            elif "parentfilepart" in value:
                child_key = (
                    value["parentfilepart"].lower().replace(" ", "_")
                    + "."
                    + value["filetype"].lower().replace(" ", "_")
                )
                if master_key:
                    self._recursive_entry(value["values"], f"{master_key}.{child_key}")
                else:
                    self._recursive_entry(value["values"], f"{child_key}")

    def _extract_dieinfo(self):
        """
        Execute a command-line binary with arguments and parse its JSON output.

        :param command: The command or path to the binary to execute
        :param args: Additional arguments to pass to the command
        :return: Parsed JSON output as a Python object
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        # Construct the full command
        # command = "nfdc" # UNCOMMENT FOR PROD
        # command = "/Users/p4c0/_tools/NFD.app/Contents/MacOS/nfdc" # COMMENT FOR TESTING ON MAC
        command = os.getenv("DIE_PATH")
        args = ["-durj", self.filepath]
        full_command = [command] + list(args)
        TIMEOUT = int(os.getenv("DIE_TIMEOUT", "180"))

        try:
            # Execute the command and capture its output
            result = subprocess.run(
                full_command,
                capture_output=True,
                text=True,
                check=True,
                timeout=TIMEOUT,
            )

            # Parse the JSON output
            nfdc_output = json.loads(result.stdout)

            # Extract the DIE information from the json output
            for die_entry in nfdc_output["detects"]:
                if die_entry["parentfilepart"] == "Header":
                    master_key = (
                        die_entry["parentfilepart"].lower().replace(" ", "_")
                        + "."
                        + die_entry["filetype"].lower().replace(" ", "_")
                    )
                    self._recursive_entry(die_entry["values"], None)

            # pprint(json.dumps(self.die_info_dict, indent=2)) #debug
            self.die_info = DIEinfo(result.stdout, self.die_info_dict)
            self.log.debug(f"NFDC-DIE JSON dump: todo")
        except subprocess.TimeoutExpired:
            self.log.error(f"The DIE command timed out after {TIMEOUT} seconds")
            return None
        except subprocess.CalledProcessError as e:
            self.log.error(f"Error executing DIE command: {e}")
            self.log.error(f"Command output (stderr): {e.stderr}")
            return None
        except json.JSONDecodeError as e:
            self.log.error(f"Error parsing DIE JSON output: {e}")
            self.log.error(f"Raw output: {result.stdout}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.die_info
        elif exporter_type == "ClickHouseExporter":
            # Convert DIE info to JSON string
            die_info_json = json.dumps(self.die_info_dict)
            
            data = [[
                self.sha256,
                self.md5,
                self.sha1,
                die_info_json,
                datetime.now(timezone.utc)
            ]]
            
            column_names = [
                'sha256', 'md5', 'sha1', 'die_info', 'analysis_date'
            ]
            
            column_type_names = [
                'String', 'String', 'String', 'JSON', 'DateTime64(3, \'UTC\')'
            ]
            
            return (data, column_names, column_type_names)

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

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_dieinfo()
            
            # Check if there's a packer in the DIE results
            is_packed = False
            if self.die_info_dict:
                # Check if 'packer' exists in the DIE results
                is_packed = bool(self.die_info_dict.get('packer'))
            
            return self.die_info  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting DIE information: {e}")
            return None

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