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MalOSDF: An Opcode Slice-Based Malware Detection Framework Using Active and Ensemble Learning

https://doi.org/10.3390/electronics13020359

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cose.2018.11.001openalex-snapshot

Survey of machine learning techniques for malware analysis

inferredcites →https://doi.org/10.1016/j.cose.2019.02.007openalex-snapshot

MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics

inferredcites →https://doi.org/10.1016/j.cose.2021.102273openalex-snapshot

A novel few-shot malware classification approach for unknown family recognition with multi-prototype modeling

inferredcites →https://doi.org/10.1016/j.cose.2023.103190openalex-snapshot

A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA)

inferredcites →https://doi.org/10.1016/j.diin.2018.04.024openalex-snapshot

Deep learning at the shallow end: Malware classification for non-domain experts

inferredcites →https://doi.org/10.1016/j.eswa.2021.114971openalex-snapshot

Identifying meaningful clusters in malware data

inferredcites →https://doi.org/10.1016/j.eswa.2021.116384openalex-snapshot

A stratified approach to function fingerprinting in program binaries using diverse features

inferredcites →https://doi.org/10.1016/j.ins.2011.08.020openalex-snapshot

Opcode sequences as representation of executables for data-mining-based unknown malware detection

inferredcites →https://doi.org/10.1016/j.jisa.2017.11.006openalex-snapshot

Towards privacy preserving threat intelligence

inferredcites →https://doi.org/10.1016/j.jnca.2018.10.022openalex-snapshot

MalInsight: A systematic profiling based malware detection framework

inferredcites →https://doi.org/10.1109/conit55038.2022.9848152openalex-snapshot

Opcode and API Based Machine Learning Framework For Malware Classification

inferredcites →https://doi.org/10.1109/sp46215.2023.10179347openalex-snapshot

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers

inferredcites →https://doi.org/10.1109/sp46215.2023.10179416openalex-snapshot

Control Flow and Pointer Integrity Enforcement in a Secure Tagged Architecture

inferredcites →https://doi.org/10.1109/sp46215.2023.10179439openalex-snapshot

XFL: Naming Functions in Binaries with Extreme Multi-label Learning

inferredcites →https://doi.org/10.1109/sp46215.2023.10179453openalex-snapshot

From Grim Reality to Practical Solution: Malware Classification in Real-World Noise

inferredcites →https://doi.org/10.1109/tnnls.2022.3216981openalex-snapshot

Privacy and Robustness in Federated Learning: Attacks and Defenses

inferredcites →https://doi.org/10.1145/1050849.1050865openalex-snapshot

A brief survey of program slicing

inferredcites →https://doi.org/10.1145/2857705.2857713openalex-snapshot

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

inferredcites →https://doi.org/10.1145/3073559openalex-snapshot

A Survey on Malware Detection Using Data Mining Techniques

inferredcites →https://doi.org/10.1145/3128572.3140446openalex-snapshot

Malware Classification and Class Imbalance via Stochastic Hashed LZJD

inferredcites →https://doi.org/10.1145/3446371openalex-snapshot

A Survey of Binary Code Similarity

inferredcites →https://doi.org/10.1145/358557.358577openalex-snapshot

Programmers use slices when debugging

inferredcites →https://doi.org/10.1145/3597926.3598050openalex-snapshot

Beware of the Unexpected: Bimodal Taint Analysis

inferredcites →https://doi.org/10.1145/3597926.3598054openalex-snapshot

API2Vec: Learning Representations of API Sequences for Malware Detection

inferredcites →https://doi.org/10.1145/3597926.3598145openalex-snapshot

Interpreters for GNN-Based Vulnerability Detection: Are We There Yet?

inferredcites →https://doi.org/10.1145/390011.808263openalex-snapshot

The program dependence graph in a software development environment

inferredcites →https://doi.org/10.1145/77606.77608openalex-snapshot

Interprocedural slicing using dependence graphs

inferredcites →https://doi.org/10.14722/ndss.2023.24415openalex-snapshot

VulHawk: Cross-architecture Vulnerability Detection with Entropy-based Binary Code Search

inferredcites →https://doi.org/10.23919/cje.2021.00.451openalex-snapshot

EAODroid: Android Malware Detection Based on Enhanced API Order

inferredcites →https://doi.org/10.23919/cje.2022.00.038openalex-snapshot

MalFSM: Feature Subset Selection Method for Malware Family Classification

inferredcites →https://doi.org/10.3390/app9194086openalex-snapshot

Instruction2vec: Efficient Preprocessor of Assembly Code to Detect Software Weakness with CNN

inferredcites →https://doi.org/10.3390/s20133645openalex-snapshot

OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-23716-3_3openalex-snapshot

Review of Artificial Intelligence Techniques for Ransomware Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-24063-7_35openalex-snapshot

Opcode-Driven Machine Learning Framework for Android Malware Detection

inferred← citeshttps://doi.org/10.1007/978-981-92-2600-9_32openalex-snapshot

FusionMalNet: A Hybrid Ensemble Architecture for Windows Malware Detection

inferred← citeshttps://doi.org/10.1007/s12083-025-02069-7openalex-snapshot

EML-AMD: an explainable machine learning framework for adaptive android malware detection

inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108275openalex-snapshot

ASD-SDK: An Android malicious software detection approach associated with sneaky third-party SDK behaviors

inferred← citeshttps://doi.org/10.1109/aide64228.2025.10987360openalex-snapshot

Enhancing Web Security For Threat Detection Through Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292367openalex-snapshot

Evaluating Lightweight Machine Learning Algorithms for Malware Detection in Resource Limited Environments

inferred← citeshttps://doi.org/10.1186/s42400-025-00428-8openalex-snapshot

Unveiling evasive ransomware and breaking through the predicament: a comprehensive review of evasion techniques and defense mechanisms

inferred← citeshttps://doi.org/10.3390/electronics13122311openalex-snapshot

AI-Driven Network Security and Privacy

inferred← citeshttps://doi.org/10.3390/s25020374openalex-snapshot

MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network

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