Xiaogang Dong

62 papers A* 1A 1B 3C 1Misc 1Journal 41Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Multim.
Zheng Wan, Shenglu Zhao, Xiaogang Dong, Xuelin Liu, Yifeng Tan, Yuming Fang
2026 J jnl
Future Gener. Comput. Syst.
Zheng Wan, Shenglu Zhao, Yifeng Tan, Xiaogang Dong, Xuelin Liu
2026 J jnl
Future Gener. Comput. Syst.
Ziming Wang, Xiaogang Dong, Jun Ai, Changshou Deng, Xiwei Dong, Chao Yin
2026 J jnl
CoRR
Yang Liu, Yixing Luo, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin
2025 J jnl
J. Supercomput.
Xiwen Qin, Siqi Zhang, Xiaogang Dong, Tingru Luo, Hongyu Shi, Liping Yuan
2025 J jnl
Phys. Commun.
Xiaogang Dong, Zheng Wan, Changshou Deng, Shenglu Zhao, Xiwei Dong
2025 conf
SIGSOFT FSE Companion
Longxing Yang, Yixing Luo, Hao Gao, Yingshuang Fan, Jingru Zhang, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin, Mengfei Yang
2025 A* conf
ASE
Yang Liu, Yixing Luo, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Tianjiao An, Xiaogang Dong, Bo Dong, Hucheng Jiang, Lei Liu, Bing Ma
2025 J jnl
Comput. Networks
Zheng Wan, Shenglu Zhao, Cuifang Wang, Yifeng Tan, Xiaogang Dong
2025 conf
ICA3PP (3)
Qing Chen, Xiaogang Dong, Changshou Deng
2025 J jnl
Appl. Intell.
Xiaogang Dong, Lifei Wang, Xiwen Qin, Hongyu Shi
2025 conf
ICIC (16)
Longxing Yang, Xiaofeng Li, Xiaogang Dong, Bin Gu
2025 J jnl
IEEE Trans. Geosci. Remote. Sens.
Chen Hu, Xiaogang Dong, Yian Huang, Lele Wang, Liang Xu, Tian Pu, Zhenming Peng
2025 J jnl
Earth Sci. Informatics
Xiwen Qin, Liping Yuan, Xiaogang Dong, Siqi Zhang, Hongyu Shi
2025 J jnl
Commun. Stat. Simul. Comput.
Han Li, Xiaogang Dong, Luan Zhao, Xue Ding, Kai Yang
2025 A conf
RE
Yixing Luo, Yang Liu, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin, Mengfei Yang
2025 conf
ICA3PP (7)
Zheng Wan, Yifeng Tan, Shenglu Zhao, Xiaogang Dong, Yuzhu Liu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Tianjiao An, Xiaogang Dong, Bo Dong, Ruiqi Cong, Lei Liu, Bing Ma
2024 J jnl
Expert Syst. J. Knowl. Eng.
Xiwen Qin, Hongyu Shi, Xiaogang Dong, Siqi Zhang
2024 J jnl
Comput. Stat.
Han Li, Zijian Liu, Kai Yang, Xiaogang Dong, Wenshan Wang
2024 J jnl
Signal Image Video Process.
Chunjie Wang, Qibo Sun, Xiaogang Dong, Jia Chen
2024 J jnl
J. Intell. Fuzzy Syst.
Xiwen Qin, Siqi Zhang, Xiaogang Dong, Hongyu Shi, Liping Yuan
2024 J jnl
Inf. Sci.
Zan Li, Yingnan Pan, Tianjiao An, Bo Dong, Xiaogang Dong
2024 J jnl
Clust. Comput.
Xiwen Qin, Siqi Zhang, Xiaogang Dong, Hongyu Shi, Liping Yuan
2024 J jnl
Appl. Intell.
Xiwen Qin, Hongyu Shi, Xiaogang Dong, Siqi Zhang, Liping Yuan
2024 B conf
ICPADS
Zheng Wan, Shenglu Zhao, Xiaogang Dong, Zhekai Huang, Yifeng Tan
2024 J jnl
Remote. Sens.
Mingjin Zhang, Peng Zhang, Yuhan Zhang, Minghai Yang, Xiaofeng Li, Xiaogang Dong, Luchang Yang
2024 J jnl
CoRR
Chen Hu, Xiaogang Dong, Yian Huang, Lele Wang, Liang Xu, Tian Pu, Zhenming Peng
2023 conf
ICA3PP (4)
Zheng Wan, Yuxuan Luo, Xiaogang Dong
2023 J jnl
Comput. Networks
Zheng Wan, Xiaogang Dong
2023 J jnl
Wirel. Networks
Zheng Wan, Xiaogang Dong, Changshou Deng
2023 J jnl
Biomed. Signal Process. Control.
Xiwen Qin, Dingxin Xu, Xiaogang Dong, Xueteng Cui, Siqi Zhang
2023 J jnl
Expert Syst. Appl.
Hu Peng, Zhenzhen Xu, Jiayao Qian, Xiaogang Dong, Wei Li, Zhijian Wu
2023 conf
ICSED
Heran Wang, Xiaogang Dong, Bin Gu, Xiaofeng Li, Ruiming Zhong
2023 J jnl
Artif. Intell. Medicine
Xinrui Liu, Xiaogang Dong, Le Zhang, Jia Chen, Chunjie Wang
2023 J jnl
Wirel. Networks
Zheng Wan, Xiaogang Dong, Changshou Deng
2023 conf
ICSED
Weirui Shang, Jihong Dang, Yao Chen, Xiaofeng Li, Xiaogang Dong
2023 J jnl
Int. J. Image Graph.
Xin Wang, Xiaogang Dong
2023 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Xiwen Qin, Liping Yuan, Yonghua Ma, Xiaogang Dong, Siqi Zhang
2022 J jnl
BMC Medical Informatics Decis. Mak.
Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu, Jiajia Chen
2022 J jnl
BMC Medical Informatics Decis. Mak.
Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin, Wenjia Guo
2022 J jnl
Comput. Stat. Data Anal.
Kai Yang, Xinyang Yu, Qingqing Zhang, Xiaogang Dong
2022 B conf
ICCCN
Xiaogang Dong, Zheng Wan, Changshou Deng
2022 J jnl
ISPRS Int. J. Geo Inf.
Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen, Shuang Zhang
2021 conf
ICA3PP (2)
Zheng Wan, Xiaogang Dong, Changshou Deng
2021 J jnl
Comput. Intell. Neurosci.
Changshou Deng, Xiaogang Dong, Yucheng Tan, Hu Peng
2021 J jnl
Symmetry
Jie Zhang, Dehui Wang, Kai Yang, Xiaogang Dong
2021 conf
ICSI (1)
Changshou Deng, Xiaogang Dong, Yucheng Tan, Hu Peng
2017 J jnl
Int. J. Comput. Sci. Math.
Xiaogang Dong, Changshou Deng, Yucheng Tan
2016 J jnl
ACM Trans. Intell. Syst. Technol.
Na Shan, Xiaogang Dong, Ping-Feng Xu, Jianhua Guo
2016 J jnl
计算机科学
Xujie Tan, Changshou Deng, Xiaogang Dong, Sihao Yuan, Zhijian Wu, Hu Peng
2015 conf
BIC-TA
Changshou Deng, Xujie Tan, Xiaogang Dong, Yucheng Tan
2015 conf
ICSI (1)
Changshou Deng, Xiaogang Dong, Yanlin Yang, Yucheng Tan, Xujie Tan
2010 C conf
CIS
Xiuyu Wang, Xingwu Jiang, Xiaogang Dong, Qinghuai Liu
2009 conf
ESIAT (2)
Xiwen Qin, Shuqing Zhang, Xiaogang Dong, Hongxing Jiang, Fawen Qian
2008 J jnl
J. Electronic Imaging
Xiaogang Dong, Kai-Lung Hua, Peter Majewicz, Gordon McNutt, Charles A. Bouman, Jan P. Allebach, Ilya Pollak
2007 conf
ICIP (3)
Xiaogang Dong, Peter Majewicz, Gordon McNutt, Charles A. Bouman, Jan P. Allebach, Ilya Pollak
2006 Misc conf
CSR
Xiaogang Dong, Ilya Pollak
2006 B conf
ICIP
Xiaogang Dong, Ilya Pollak
2006 J jnl
IEEE Trans. Image Process.
Xiaogang Dong, Ilya Pollak
2005 conf
ICIP (3)
Xiaogang Dong, Ilya Pollak
redb/extractors/capa.py
← Index redb/extractors/capa.py python
from dataclasses import asdict
import inspect
import json
import subprocess
import magic
from magika import Magika
from typing import Any, Dict, List, Tuple
from datetime import datetime, timezone

from redb.extractors.enum import Tag
from redb.models.dataclasses import CAPA
from redb.extractors.extractor import Extractor
from dotenv import load_dotenv
import os

load_dotenv(override=True)

class CAPAExtractor(Extractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
    ):
        super().__init__(
            filepath, 
            log, 
            exporters,
            index_prefix, 
            elastic_index, 
            known_benign, 
            known_malicious
        )
        self.capa = None
        self.elastic_index = self.index_prefix + "-capa"

    def _replace_empty_keys(self, dictionary, replacement="default_empty_key"):
        """
        Replace empty keys in a dictionary with a specified replacement.

        Args:
        dictionary (dict): The input dictionary
        replacement (str): The replacement for empty keys (default: 'empty_key')

        Returns:
        dict: A new dictionary with empty keys replaced
        """
        # tmp_dict = {}
        # for k, v in dictionary.items():
        #     if k == '':
        #         tmp_dict[replacement] = dictionary[k]
        #     else:
        #         tmp_dict[k] = dictionary[k]
        # return tmp_dict
        return {(replacement if k == "" else k): v for k, v in dictionary.items()}

    def _extract_capa(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        TIMEOUT = int(os.getenv("CAPA_TIMEOUT")) # 5 minutes in seconds
        capa_command = [os.getenv("CAPA_PATH"), "-j", self.filepath] # COMMENT FOR TESTING ON MAC

        import signal

        # try:
        #     result = subprocess.run(
        #         capa_command, capture_output=True, text=True, check=True, timeout=TIMEOUT
        #     )
        # except subprocess.TimeoutExpired:
        #     self.log.error(f"The capa command timed out after {TIMEOUT} seconds")
        #     return {}
        # except subprocess.CalledProcessError as e:
        #     self.log.error(f"Error running capa: {e}")
        #     return {}

        # try:
        #     capa_output = json.loads(result.stdout)
        # except json.JSONDecodeError as e:
        #     self.log.error("Error parsing capa output: {e}")
        #     return {}

        # Create a process group for easier termination of all child processes
        try:
            # Start the process in a new process group
            process = subprocess.Popen(
                capa_command,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                preexec_fn=os.setsid  # Use os.setsid() to create a new process group
            )
            
            # Implement timeout handling manually
            try:
                stdout, stderr = process.communicate(timeout=TIMEOUT)
                # Process completed within timeout
                if process.returncode != 0:
                    self.log.error(f"Error running capa, return code: {process.returncode}, stderr: {stderr}")
                    return {}
            except subprocess.TimeoutExpired:
                # Kill the entire process group on timeout
                self.log.warning(f"The capa command timed out after {TIMEOUT} seconds, terminating process group")
                
                try:
                    # Send SIGTERM to the entire process group
                    os.killpg(process.pid, signal.SIGTERM)
                    
                    # Give it a moment to terminate gracefully
                    try:
                        process.wait(timeout=3)
                    except subprocess.TimeoutExpired:
                        # If it's still running after 3 seconds, send SIGKILL
                        self.log.warning("Process didn't terminate with SIGTERM, sending SIGKILL")
                        os.killpg(process.pid, signal.SIGKILL)
                        
                    process.wait()  # Make sure process resources are fully cleaned up
                except (ProcessLookupError, OSError) as e:
                    self.log.warning(f"Error while killing process: {e}")
                    
                return {}
                
            try:
                capa_output = json.loads(stdout)
            except json.JSONDecodeError as e:
                self.log.error(f"Error parsing capa output: {e}")
                return {}

            capa_dump = {}  # dictionalry of capabilities
            capabilities = set()  # list of capabilities
            namespaces = set()  # list of namespaces
            attack_dump = {}  # dictionary of tuples [tactic](technique, technique_id)
            tactics = set()  # list of tactics
            techniques = set()  # list of techniques
            techniques_id = set()  # list of techniques_id
            mbc_dump = {}  # dictionary of tuples [objective](behavior, behavior_id)
            mbc_objectives = set()  # list of objectives
            mbc_behaviors = set()  # list of behaviors
            mbc_behaviors_id = set()  # list of behaviors_id

            if isinstance(capa_output, dict) and "rules" in capa_output:
                rules = capa_output["rules"]
                if isinstance(rules, dict):
                    for rule_name, rule_data in rules.items():
                        if isinstance(rule_data, dict) and "meta" in rule_data:
                            meta = rule_data["meta"]
                            if isinstance(meta, dict):
                                # Process capabilities
                                namespace = meta.get("namespace", "").lower()
                                # if namespace != 'lib':
                                if namespace not in capa_dump:
                                    capa_dump[namespace] = []
                                    namespaces.add(namespace)
                                capa_dump[namespace].append(rule_name)
                                capabilities.add(rule_name)

                                # Process ATTACK information
                                if "attack" in meta:
                                    for attack_entry in meta["attack"]:
                                        tactic = attack_entry.get("tactic", "")
                                        technique = attack_entry.get("technique", "")
                                        id = attack_entry.get("id", "")
                                        if tactic and technique:
                                            if tactic in attack_dump:
                                                attack_dump[tactic].append((technique, id))
                                            else:
                                                attack_dump[tactic] = [(technique, id)]
                                            tactics.add(tactic)
                                            techniques.add(technique)
                                            techniques_id.add(id)

                                # Process MBC information
                                if "mbc" in meta:
                                    for mbc_entry in meta["mbc"]:
                                        objective = mbc_entry.get("objective", "")
                                        behavior = mbc_entry.get("behavior", "")
                                        id = mbc_entry.get("id", "")
                                        if objective and behavior:
                                            if objective in mbc_dump:
                                                mbc_dump[objective].append((behavior, id))
                                            else:
                                                mbc_dump[objective] = [(behavior, id)]
                                            mbc_objectives.add(objective)
                                            mbc_behaviors.add(behavior)
                                            mbc_behaviors_id.add(id)

            # return {
            #     'capabilities_all': json.dumps(capabilities_all, indent=2),
            #     'capabilities': list(capabilities),
            #     'namespaces': list(namespaces),
            #     'attack': json.dumps(attack, indent=2),
            #     'tactics': list(tactics),
            #     'techniques': list(techniques),
            #     'techniques_id': list(techniques_id),
            #     'mbc': json.dumps(mbc, indent=2),
            #     'mbc_objectives': list(mbc_objectives),
            #     'mbc_behaviors': list(mbc_behaviors),
            #     'mbc_behaviors_id': list(mbc_behaviors_id)
            # }

            capa_dump = self._replace_empty_keys(capa_dump)
            attack_dump = self._replace_empty_keys(attack_dump)
            mbc_dump = self._replace_empty_keys(mbc_dump)
            self.capa = CAPA(
                json.dumps(capa_dump, indent=2),
                list(capabilities),
                list(namespaces),
                json.dumps(attack_dump, indent=2),
                list(tactics),
                list(techniques),
                list(techniques_id),
                json.dumps(mbc_dump, indent=2),
                list(mbc_objectives),
                list(mbc_behaviors),
                list(mbc_behaviors_id),
            )
            self.log.debug(f"CAPA dump: {self.capa})")
            
        except Exception as e:
            self.log.error(f"Unexpected error in CAPA extraction: {str(e)}")
            # Try to clean up any process if possible
            if 'process' in locals() and process.poll() is None:
                try:
                    os.killpg(process.pid, signal.SIGKILL)
                    process.wait()
                except:
                    pass
            return {}

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.capa
        elif exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)
            
            # Prepare data for multiple tables
            tables_data = {
                'multi_table': True,  # Flag for multi-table export
                
                # Raw data table
                'raw': {
                    'table': 'redb_capa',
                    'data': [[
                        self.sha256,
                        self.md5,
                        self.sha1,
                        current_time,
                        self.capa.capa_dump,  # capa_dump
                        self.capa.attack_dump,            # attack_dump
                        self.capa.mbc_dump                # mbc_dump
                    ]],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'capa_dump', 'attack_dump', 'mbc_dump'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'JSON', 'JSON', 'JSON'
                    ]
                },
                
                # Capabilities table
                'capabilities': {
                    'table': 'redb_capa_capabilities',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, namespace, capability]
                        for namespace, capabilities in json.loads(self.capa.capa_dump).items()
                        for capability in capabilities
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'namespace', 'capability'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)'
                    ]
                },
                
                # MITRE ATT&CK table
                'attack': {
                    'table': 'redb_capa_attack',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time, 
                         tactic, technique[0], technique[1]]  # technique[0] is the name, technique[1] is the ID
                        for tactic, techniques in json.loads(self.capa.attack_dump).items()
                        for technique in techniques
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'tactic', 'technique', 'technique_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)', 
                        'LowCardinality(String)'
                    ]
                },
                
                # MBC table
                'mbc': {
                    'table': 'redb_capa_mbc',
                    'data': [
                        [self.sha256, self.md5, self.sha1, current_time,
                         objective, behavior[0], behavior[1]]  # behavior[0] is the name, behavior[1] is the ID
                        for objective, behaviors in json.loads(self.capa.mbc_dump).items()
                        for behavior in behaviors
                    ],
                    'column_names': [
                        'sha256', 'md5', 'sha1', 'analysis_date',
                        'objective', 'behavior', 'behavior_id'
                    ],
                    'column_type_names': [
                        'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                        'DateTime64(3, \'UTC\')',
                        'LowCardinality(String)', 'LowCardinality(String)',
                        'LowCardinality(String)'
                    ]
                }
            }
            
            return tables_data

    def get_clickhouse_table(self) -> str:
        return "redb_capa"  # Return the main table name

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            self._extract_capa()
            return self.capa  # Return the extracted data instead of exporting directly
        except Exception as e:
            self.log.error(f"Error extracting CAPA: {e}")
            return None

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