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PDF Malware Detection Based on Optimizable Decision Trees
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.22451openalex-snapshot
Boosting training for PDF malware classifier via active learning
inferredcites →https://doi.org/10.1007/978-3-030-60425-7_4openalex-snapshot
Drone Forensics: The Impact and Challenges
inferredcites →https://doi.org/10.1007/978-3-030-88381-2openalex-snapshot
Advances in Digital Forensics XVII
inferredcites →https://doi.org/10.1007/978-3-030-88381-2_7openalex-snapshot
DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING
inferredcites →https://doi.org/10.1007/978-3-031-06975-8_11openalex-snapshot
Robust PDF Files Forensics Using Coding Style
inferredcites →https://doi.org/10.1007/978-3-642-31537-4_40openalex-snapshot
A Pattern Recognition System for Malicious PDF Files Detection
inferredcites →https://doi.org/10.1007/s00521-022-07015-9openalex-snapshot
High-performance intrusion detection system for networked UAVs via deep learning
inferredcites →https://doi.org/10.1007/s11416-021-00386-yopenalex-snapshot
A novel method for malware detection based on hardware events using deep neural networks
inferredcites →https://doi.org/10.1016/j.cosrev.2019.01.002openalex-snapshot
A Survey on malware analysis and mitigation techniques
inferredcites →https://doi.org/10.1016/j.fsidi.2021.301124openalex-snapshot
A novel adversarial example detection method for malicious PDFs using multiple mutated classifiers
inferredcites →https://doi.org/10.1016/j.future.2020.09.015openalex-snapshot
Improving malicious PDF classifier with feature engineering: A data-driven approach
inferredcites →https://doi.org/10.1016/j.ins.2019.09.024openalex-snapshot
BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors
inferredcites →https://doi.org/10.1016/j.ins.2020.02.075openalex-snapshot
A feature-vector generative adversarial network for evading PDF malware classifiers
inferredcites →https://doi.org/10.1016/j.procs.2015.02.149openalex-snapshot
Integrated Static and Dynamic Analysis for Malware Detection
inferredcites →https://doi.org/10.1049/cje.2020.10.002openalex-snapshot
Detection of Malicious PDF Files Using a Two‐Stage Machine Learning Algorithm
inferredcites →https://doi.org/10.1049/icp.2022.0387openalex-snapshot
Detection of money laundering in bitcoin transactions
inferredcites →https://doi.org/10.1049/iet-rpg.2018.5917openalex-snapshot
Data‐driven wind speed forecasting using deep feature extraction and LSTM
inferredcites →https://doi.org/10.1080/19393555.2020.1723747openalex-snapshot
Malware Detection in PDF and Office Documents: A survey
inferredcites →https://doi.org/10.1109/access.2019.2933197openalex-snapshot
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework
inferredcites →https://doi.org/10.1109/bibm47256.2019.8983101openalex-snapshot
Supervised Regression Study for Electron Microscopy Data
inferredcites →https://doi.org/10.1109/bigdata52589.2021.9671434openalex-snapshot
Malware Detection and Prevention using Artificial Intelligence Techniques
inferredcites →https://doi.org/10.1109/ibcast.2019.8667136openalex-snapshot
Static and Dynamic Malware Analysis Using Machine Learning
inferredcites →https://doi.org/10.1109/icdis.2019.00024openalex-snapshot
Robust PDF Malware Detection with Image Visualization and Processing Techniques
inferredcites →https://doi.org/10.1109/isaect53699.2021.9668562openalex-snapshot
Detecting Port Scan Attacks Using Logistic Regression
inferredcites →https://doi.org/10.1109/jisic.2014.23openalex-snapshot
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files
inferredcites →https://doi.org/10.1109/milcom52596.2021.9653136openalex-snapshot
OMD: Orthogonal Malware Detection using Audio, Image, and Static Features
inferredcites →https://doi.org/10.1109/msec.2018.2875879openalex-snapshot
Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware
inferredcites →https://doi.org/10.1109/spw53761.2021.00020openalex-snapshot
BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware
inferredcites →https://doi.org/10.1109/trustcom/bigdatase.2018.00097openalex-snapshot
Data Mining Based Strategy for Detecting Malicious PDF Files
inferredcites →https://doi.org/10.1109/trustcom/bigdatase/icess.2017.240openalex-snapshot
FEPDF: A Robust Feature Extractor for Malicious PDF Detection
inferredcites →https://doi.org/10.1111/exsy.12934openalex-snapshot
Boost‐Defence for resilient IoT networks: A head‐to‐toe approach
inferredcites →https://doi.org/10.1145/1599272.1599278openalex-snapshot
Malware detection using statistical analysis of byte-level file content
inferredcites →https://doi.org/10.1145/2420950.2420987openalex-snapshot
Malicious PDF detection using metadata and structural features
inferredcites →https://doi.org/10.1145/3329786openalex-snapshot
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
inferredcites →https://doi.org/10.1145/3332184openalex-snapshot
Towards Adversarial Malware Detection
inferredcites →https://doi.org/10.1145/3335484.3335527openalex-snapshot
Research on KNN Algorithm in Malicious PDF Files Classification under Adversarial Environment
inferredcites →https://doi.org/10.1145/3445969.3450433openalex-snapshot
Artificial Intelligence Assisted Malware Analysis
inferredcites →https://doi.org/10.1145/3508398.3519365openalex-snapshot
Towards Robust Detection of PDF-based Malware
inferredcites →https://doi.org/10.14722/ndss.2016.23078openalex-snapshot
When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors
inferredcites →https://doi.org/10.1609/aaai.v35i17.17777openalex-snapshot
Robust PDF Document Conversion using Recurrent Neural Networks
inferredcites →https://doi.org/10.18517/ijaseit.11.4.14608openalex-snapshot
Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense
inferredcites →https://doi.org/10.24251/hicss.2021.858openalex-snapshot
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
inferredcites →https://doi.org/10.3389/fdata.2021.782902openalex-snapshot
Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks
inferredcites →https://doi.org/10.3390/ai3020019openalex-snapshot
Detection in Adverse Weather Conditions for Autonomous Vehicles via Deep Learning
inferredcites →https://doi.org/10.3390/app12105015openalex-snapshot
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
inferredcites →https://doi.org/10.3390/app9020239openalex-snapshot
Cross-Method-Based Analysis and Classification of Malicious Behavior by API Calls Extraction
inferredcites →https://doi.org/10.3390/app9224764openalex-snapshot
Malicious PDF Detection Model against Adversarial Attack Built from Benign PDF Containing JavaScript
inferredcites →https://doi.org/10.3390/computers11080121openalex-snapshot
A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning
inferredcites →https://doi.org/10.3390/electronics9111777openalex-snapshot
MALGRA: Machine Learning and N-Gram Malware Feature Extraction and Detection System
inferredcites →https://doi.org/10.3390/forecast3020016openalex-snapshot
A Stochastic Estimation Framework for Yearly Evolution of Worldwide Electricity Consumption
inferredcites →https://doi.org/10.3390/jsan11010018openalex-snapshot
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
inferredcites →https://doi.org/10.3390/sym14030591openalex-snapshot
Asymmetric Identification Model for Human-Robot Contacts via Supervised Learning
inferredcites →https://doi.org/10.3390/sym14091760openalex-snapshot
Analysis of Blockchain in the Healthcare Sector: Application and Issues
inferredcites →https://doi.org/10.48550/arxiv.1808.06991openalex-snapshot
MLPdf: An Effective Machine Learning Based Approach for PDF Malware Detection
inferredcites →https://doi.org/10.5220/0006884704120419openalex-snapshot
Malware Detection in PDF Files using Machine Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-73494-6_26openalex-snapshot
A Deep Learning Approach to PDF Malware Detection Enhanced with XAI
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Harnessing Artificial Intelligence for Proactive Cybersecurity and Operational Optimization in Business Processes
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Leveraging Artificial Intelligence for Enhanced Cybersecurity: Opportunities and Challenges
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Enhancing Data Security and Privacy Using Federated Learning: A Scalable Framework for Distributed Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-18349-1_7openalex-snapshot
Machine Learning-Based Detection of Malicious PDF Files: A Comparative Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-22542-9_10openalex-snapshot
LLM4PDF: Semantic-Aware Malicious PDF Detection Using LLMs
inferred← citeshttps://doi.org/10.1007/978-981-96-2124-8_43openalex-snapshot
Integrating AI and ML into Next-Gen Firewalls for Cybersecurity
inferred← citeshttps://doi.org/10.1007/978-981-99-0835-6_22openalex-snapshot
Memory Malware Identification via Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-99-9518-9_3openalex-snapshot
Comparative Analysis of Malware Classification Using Supervised Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/s00521-024-10314-yopenalex-snapshot
Explainable AI model for PDFMal detection based on gradient boosting model
inferred← citeshttps://doi.org/10.1007/s10489-023-05086-2openalex-snapshot
Feature mining and classifier selection for API calls-based malware detection
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Optimizing malware detection across platforms using the firefly algorithm in cyber threat intelligence
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AI-enabled approach for enhancing obfuscated malware detection: a hybrid ensemble learning with combined feature selection techniques
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Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files
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uitPDF-MalDe: Malicious Portable Document Format files detection using multi machine learning models
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A study of the relationship of malware detection mechanisms using Artificial Intelligence
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Visualization-based comprehensive feature representation with improved EfficientNet for malicious file and variant recognition
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Unveiling malicious PDF behavior: Interpretable classification and profiling malicious PDF using TabNet
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Software defect prediction based on a multiclassifier with hyperparameters: Future work
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Malware detection of PDF documents based on machine learning techniques (A review)
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PDF Malware Detection: Toward Machine Learning Modeling With Explainability Analysis
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A Novel Feature Encoding Scheme for Machine Learning Based Malware Detection Systems
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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware
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Malicious PDF detection Based on Machine Learning with Enhanced Feature Set
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SeLCM: An Efficient and Robust Malware Detection Model
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Malicious Medical Portable Document Format Detection using Machine Learning
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FURIA-Driven Feature Selection with H-Tree and GAN-Augmented Learning for Robust Cyber Attack Detection in Network
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Random Forest Based Malware Detection Using Java Microservices
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PDF Malware Detection Using Machine Learning
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PDF Malware Detection optimisation using machine learning
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PDF Malware Detection: A Hybrid Approach Using Random Forest and K-Nearest Neighbors
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Class-Aware Hierarchical Feature Clustering for High-Dimensional Complex Ransomware Detection
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Mitigating DDoS Attacks in Cloud Computing Environments: Challenges and Strategies
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Different Techniques And Algorithms To Combat The Issue Of Money Laundering In Bitcoin
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An Enhanced Feature-Based Hybrid Approach for Adversarial PDF Malware Detection
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Hybrid Malware Detection using BERT and Random Forest
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Protecting Mobile Communication Channels: Adaptive Super Learner-Based Malware Detection for Android
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