Wanyu Lin

74 papers A* 17A 2B 5Journal 49Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
AAAI
Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan
2026 A* conf
AAAI
Haowei Hua, Jingwen Yang, Wanyu Lin, Pan Zhou
2026 A* conf
AAAI
Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang
2025 B conf
CEC
Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan
2025 A* conf
ICLR
Haokai Hong, Wanyu Lin, Kc Tan
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang
2025 J jnl
Trans. Mach. Learn. Res.
Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
2025 J jnl
CoRR
Jian Chen, Zehui Lin, Wanyu Lin, Wenlong Shi, Xiaoyan Yin, Di Wang
2025 J jnl
IEEE Trans. Dependable Secur. Comput.
Wanyu Lin, Hao Lan, Jiannong Cao
2025 J jnl
IEEE Trans. Dependable Secur. Comput.
Wanyu Lin, Hao Lan, Hao He, Baochun Li
2025 A* conf
ICML
Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou
2025 J jnl
CoRR
Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou
2025 J jnl
CoRR
Jiangwen Dong, Jiayu Li, Wanyu Lin
2025 J jnl
CoRR
Guodong Du, Xuanning Zhou, Junlin Li, Zhuo Li, Zesheng Shi, Wanyu Lin, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li
2025 A* conf
ICML
Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang
2025 J jnl
CoRR
Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang
2025 J jnl
CoRR
Haowei Hua, Wanyu Lin
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Qianyi Chen, Jiannong Cao, Yu Yang, Wanyu Lin, Sumei Wang, Youwu Wang
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2025 J jnl
CoRR
Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang
2025 A* conf
ICML
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen, Wanyu Lin
2025 J jnl
CoRR
Xiangxiang Cui, Shu Yang, Tianjin Huang, Wanyu Lin, Lijie Hu, Di Wang
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Shaojie Tang, Wanyu Lin, Jiannong Cao
2025 J jnl
CoRR
Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Jian Chen, Wenlong Shi, Wanyu Lin, Chen Wang, Wei Liu, Hailong Sun, Gaoyang Liu
2025 J jnl
Expert Syst. Appl.
Xinjie Yao, Yingxue Wang, Yu Wang, Pengfei Zhu, Ruipu Zhao, Weihao Li, Shenglei Pei, Wanyu Lin
2024 J jnl
CoRR
Changfu Xu, Jianxiong Guo, Wanyu Lin, Haodong Zou, Wentao Fan, Tian Wang, Xiaowen Chu, Jiannong Cao
2024 B conf
IWQoS
Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen
2024 J jnl
CoRR
Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan
2024 J jnl
CoRR
Xindi Zheng, Yuwei Wu, Yu Pan, Wanyu Lin, Lei Ma, Jianjun Zhao
2024 J jnl
CoRR
Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang
2024 J jnl
CoRR
Haokai Hong, Wanyu Lin, Kay Chen Tan
2024 J jnl
CoRR
Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan
2024 B conf
IJCNN
Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang
2024 J jnl
CoRR
Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
2024 J jnl
CoRR
Haokai Hong, Wanyu Lin, Kay Chen Tan
2024 J jnl
CoRR
Haowei Hua, Wanyu Lin, Jingwen Yang
2024 J jnl
IEEE Trans. Mob. Comput.
Yanyan Lu, Lei Yang, Hao-Rui Chen, Jiannong Cao, Wanyu Lin, Saiqin Long
2024 A* conf
AAAI
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024 J jnl
CoRR
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024 J jnl
ACM Trans. Knowl. Discov. Data
Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin
2024 A* conf
AAAI
Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu
2024 A* conf
ICML
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu
2024 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Wanyu Lin, Baochun Li
2024 J jnl
CoRR
Zhuoran Li, Xu Sun, Wanyu Lin, Jiannong Cao
2024 A* conf
NeurIPS
Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
2023 J jnl
IEEE Trans. Inf. Forensics Secur.
Xiaoyan Yin, Wanyu Lin, Kexin Sun, Chun Wei, Yanjiao Chen
2023 J jnl
IEEE Trans. Netw. Sci. Eng.
Ziqi He, Lei Yang, Wanyu Lin, Weigang Wu
2023 J jnl
ACM Trans. Knowl. Discov. Data
Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao
2023 J jnl
CoRR
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023 J jnl
Proc. ACM Manag. Data
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023 J jnl
IEEE Trans. Inf. Forensics Secur.
Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen
2023 A* conf
AAAI
Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan
2023 J jnl
CoRR
Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu
2023 A conf
IROS
Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
2022 J jnl
CoRR
Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
2022 A* conf
CVPR
Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
2022 J jnl
CoRR
Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
2022 J jnl
IEEE Trans. Inf. Forensics Secur.
Wanyu Lin, Baochun Li, Cong Wang
2022 J jnl
CoRR
Wanyu Lin, Baochun Li, Cong Wang
2021 A* conf
ICML
Wanyu Lin, Hao Lan, Baochun Li
2021 J jnl
CoRR
Wanyu Lin, Hao Lan, Baochun Li
2021 conf
CogMI
Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu
2021 A* conf
INFOCOM
Wanyu Lin, Baochun Li
2021 J jnl
IEEE Trans. Parallel Distributed Syst.
Wanyu Lin, Helei Cui, Baochun Li, Cong Wang
2020 A conf
AsiaCCS
Wanyu Lin, Shengxiang Ji, Baochun Li
2020 A* conf
INFOCOM
Wanyu Lin, Zhaolin Gao, Baochun Li
2020 A* conf
CVPR
Wanyu Lin, Zhaolin Gao, Baochun Li
2019 J jnl
Ad Hoc Sens. Wirel. Networks
Wanyu Lin, Jiannong Cao, Xuefeng Liu
2019 J jnl
CoRR
Wanyu Lin, Zhaolin Gao, Baochun Li
2017 B conf
SMARTCOMP
Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang
2014 B conf
IWQoS
Wanyu Lin, Jiannong Cao, Xuefeng Liu
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