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A Systematic Survey of Android Malware Detection Through Learning-Based Technology

https://doi.org/10.2139/ssrn.5519478

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

inferredcites →https://doi.org/10.1007/978-3-319-18467-8_34openalex-snapshot

ApkCombiner: Combining Multiple Android Apps to Support Inter-App Analysis

inferredcites →https://doi.org/10.1007/978-3-319-58469-0_14openalex-snapshot

Detection of Side Channel Attacks Based on Data Tainting in Android Systems

inferredcites →https://doi.org/10.1007/s10207-022-00579-6openalex-snapshot

MAPAS: a practical deep learning-based android malware detection system

inferredcites →https://doi.org/10.1007/s10586-024-04484-6openalex-snapshot

Android malware detection using time-aware machine learning approach

inferredcites →https://doi.org/10.1007/s10664-014-9352-6openalex-snapshot

Empirical assessment of machine learning-based malware detectors for Android

inferredcites →https://doi.org/10.1007/s11042-021-10647-zopenalex-snapshot

A new machine learning-based method for android malware detection on imbalanced dataset

inferredcites →https://doi.org/10.1007/s11042-023-16035-zopenalex-snapshot

A new approach to android malware detection using fuzzy logic-based simulated annealing and feature selection

inferredcites →https://doi.org/10.1007/s11227-019-02810-zopenalex-snapshot

HLMD: a signature-based approach to hardware-level behavioral malware detection and classification

inferredcites →https://doi.org/10.1007/s11276-023-03414-5openalex-snapshot

NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble

inferredcites →https://doi.org/10.1007/s11416-021-00385-zopenalex-snapshot

Android malware classification using convolutional neural network and LSTM

inferredcites →https://doi.org/10.1007/s12559-024-10301-4openalex-snapshot

Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization

inferredcites →https://doi.org/10.1007/s12652-020-02196-4openalex-snapshot

Android malware detection method based on bytecode image

inferredcites →https://doi.org/10.1016/j.aej.2024.05.038openalex-snapshot

Bioinspired artificial intelligence based android malware detection and classification for cybersecurity applications

inferredcites →https://doi.org/10.1016/j.cose.2017.10.007openalex-snapshot

A malware detection method based on family behavior graph

inferredcites →https://doi.org/10.1016/j.ins.2017.04.044openalex-snapshot

Machine learning based mobile malware detection using highly imbalanced network traffic

inferredcites →https://doi.org/10.1016/j.iotcps.2023.03.001openalex-snapshot

Android malware classification using optimum feature selection and ensemble machine learning

inferredcites →https://doi.org/10.1016/j.is.2010.01.001openalex-snapshot

Automated analysis of feature models 20 years later: A literature review

inferredcites →https://doi.org/10.1016/j.jksuci.2021.08.033openalex-snapshot

Probing AndroVul dataset for studies on Android malware classification

inferredcites →https://doi.org/10.1016/j.neucom.2020.12.088openalex-snapshot

Android malware detection through machine learning on kernel task structures

inferredcites →https://doi.org/10.1016/j.procs.2021.03.106openalex-snapshot

Android Malware Detection Using Deep Learning

inferredcites →https://doi.org/10.1016/j.procs.2022.03.086openalex-snapshot

An Android Malware Detection Approach Based on Static Feature Analysis Using Machine Learning Algorithms

inferredcites →https://doi.org/10.1038/s41598-024-70544-xopenalex-snapshot

Prediction of android ransomware with deep learning model using hybrid cryptography

inferredcites →https://doi.org/10.1049/iet-ifs.2013.0095openalex-snapshot

Analysis of Bayesian classification‐based approaches for Android malware detection

inferredcites →https://doi.org/10.1080/09540091.2021.1889977openalex-snapshot

Effective classification of android malware families through dynamic features and neural networks

inferredcites →https://doi.org/10.1109/access.2020.3008081openalex-snapshot

A Two-Layer Deep Learning Method for Android Malware Detection Using Network Traffic

inferredcites →https://doi.org/10.1109/access.2020.3033026openalex-snapshot

FAMD: A Fast Multifeature Android Malware Detection Framework, Design, and Implementation

inferredcites →https://doi.org/10.1109/access.2021.3063748openalex-snapshot

AdMat: A CNN-on-Matrix Approach to Android Malware Detection and Classification

inferredcites →https://doi.org/10.1109/access.2021.3090998openalex-snapshot

Classification and Analysis of Android Malware Images Using Feature Fusion Technique

inferredcites →https://doi.org/10.1109/access.2021.3093366openalex-snapshot

An Adaptive Behavioral-Based Incremental Batch Learning Malware Variants Detection Model Using Concept Drift Detection and Sequential Deep Learning

inferredcites →https://doi.org/10.1109/access.2022.3219047openalex-snapshot

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

inferredcites →https://doi.org/10.1109/access.2023.3244656openalex-snapshot

A Novel Machine Learning Approach for Android Malware Detection Based on the Co-Existence of Features

inferredcites →https://doi.org/10.1109/access.2023.3348451openalex-snapshot

Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/access.2024.3357944openalex-snapshot

Intelligent Pattern Recognition Using Equilibrium Optimizer With Deep Learning Model for Android Malware Detection

inferredcites →https://doi.org/10.1109/access.2024.3387475openalex-snapshot

Android Malware Detection Based on Informative Syscall Subsequences

inferredcites →https://doi.org/10.1109/access.2024.3400211openalex-snapshot

Maloid-DS: Labeled Dataset for Android Malware Forensics

inferredcites →https://doi.org/10.1109/access.2024.3401627openalex-snapshot

TRConv: Multi-Platform Malware Classification via Target Regulated Convolutions

inferredcites →https://doi.org/10.1109/access.2024.3415355openalex-snapshot

Meta-SonifiedDroid: Metaheuristics for Optimizing Sonified Android Malware Detection

inferredcites →https://doi.org/10.1109/access.2024.3485593openalex-snapshot

DeepImageDroid: A Hybrid Framework Leveraging Visual Transformers and Convolutional Neural Networks for Robust Android Malware Detection

inferredcites →https://doi.org/10.1109/access.2024.3486094openalex-snapshot

Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector

inferredcites →https://doi.org/10.1109/access.2024.3494545openalex-snapshot

A Defensive Strategy Against Android Adversarial Malware Attacks

inferredcites →https://doi.org/10.1109/access.2024.3501277openalex-snapshot

Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning

inferredcites →https://doi.org/10.1109/acsacw65225.2024.00016openalex-snapshot

The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers

inferredcites →https://doi.org/10.1109/aina.2013.88openalex-snapshot

A New Android Malware Detection Approach Using Bayesian Classification

inferredcites →https://doi.org/10.1109/ares.2012.74openalex-snapshot

Repackaging Android Applications for Auditing Access to Private Data

inferredcites →https://doi.org/10.1109/icacci.2017.8126084openalex-snapshot

Deep android malware detection and classification

inferredcites →https://doi.org/10.1109/icassp48485.2024.10446595openalex-snapshot

PVitNet:An Effective Approach for Android Malware Detection Using Pyramid Feature Processing and Vision Transformer

inferredcites →https://doi.org/10.1109/icwr51868.2021.9443025openalex-snapshot

Android Malware Detection and Classification Based on Network Traffic Using Deep Learning

inferredcites →https://doi.org/10.1109/jcsse61278.2024.10613651openalex-snapshot

Classification of Android Malware from Binary Code Using Ensemble Method with Recursive Feature Elimination

inferredcites →https://doi.org/10.1109/jiot.2022.3188583openalex-snapshot

IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense

inferredcites →https://doi.org/10.1109/jiot.2024.3394555openalex-snapshot

LTAChecker: Lightweight Android Malware Detection Based on Dalvik Opcode Sequences Using Attention Temporal Networks

inferredcites →https://doi.org/10.1109/jiot.2024.3477442openalex-snapshot

DTDroid: Adversarial Packed Android Malware Detection Based on Traffic and Dynamic Behavioral

inferredcites →https://doi.org/10.1109/sp.2012.16openalex-snapshot

Dissecting Android Malware: Characterization and Evolution

inferredcites →https://doi.org/10.1109/tdsc.2016.2536605openalex-snapshot

MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

inferredcites →https://doi.org/10.1109/tdsc.2017.2700270openalex-snapshot

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

inferredcites →https://doi.org/10.1109/tdsc.2017.2739145openalex-snapshot

EC2: Ensemble Clustering and Classification for Predicting Android Malware Families

inferredcites →https://doi.org/10.1109/tdsc.2017.2745575openalex-snapshot

Detection of Repackaged Android Malware with Code-Heterogeneity Features

inferredcites →https://doi.org/10.1109/tdsc.2023.3325912openalex-snapshot

Demystifying the Evolution of Android Malware Variants

inferredcites →https://doi.org/10.1109/tdsc.2024.3358979openalex-snapshot

Improving Logic Bomb Identification in Android Apps via Context-Aware Anomaly Detection

inferredcites →https://doi.org/10.1109/tdsc.2024.3444913openalex-snapshot

GNNDroid: Graph-Learning Based Malware Detection for Android Apps With Native Code

inferredcites →https://doi.org/10.1109/tifs.2017.2687880openalex-snapshot

DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis

inferredcites →https://doi.org/10.1109/tifs.2024.3414339openalex-snapshot

MTDroid: A Moving Target Defense-Based Android Malware Detector Against Evasion Attacks

inferredcites →https://doi.org/10.1109/tifs.2024.3468891openalex-snapshot

Sensitive Behavioral Chain-Focused Android Malware Detection Fused With AST Semantics

inferredcites →https://doi.org/10.1109/tifs.2024.3516565openalex-snapshot

MalFSCIL: A Few-Shot Class-Incremental Learning Approach for Malware Detection

inferredcites →https://doi.org/10.1109/tii.2017.2789219openalex-snapshot

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

inferredcites →https://doi.org/10.1109/tii.2024.3363016openalex-snapshot

Android Malware Detection Method Based on CNN and DNN Bybrid Mechanism

inferredcites →https://doi.org/10.1109/tmc.2021.3079433openalex-snapshot

Overlay-Based Android Malware Detection at Market Scales: Systematically Adapting to the New Technological Landscape

inferredcites →https://doi.org/10.1109/tr.2023.3304389openalex-snapshot

An Empirical Study on Android Malware Characterization by Social Network Analysis

inferredcites →https://doi.org/10.1109/tse.2016.2532875openalex-snapshot

A Survey on Metamorphic Testing

inferredcites →https://doi.org/10.1109/tse.2018.2834344openalex-snapshot

LEILA: Formal Tool for Identifying Mobile Malicious Behaviour

inferredcites →https://doi.org/10.1109/tse.2021.3067061openalex-snapshot

Formal Equivalence Checking for Mobile Malware Detection and Family Classification

inferredcites →https://doi.org/10.1109/tse.2024.3422990openalex-snapshot

API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification

inferredcites →https://doi.org/10.1145/2557833.2560576openalex-snapshot

Execution and property specifications for JPF-android

inferredcites →https://doi.org/10.1145/2635868.2635869openalex-snapshot

Apposcopy: semantics-based detection of Android malware through static analysis

inferredcites →https://doi.org/10.1145/2897073.2897707openalex-snapshot

Pinpointing mobile malware using code analysis

inferredcites →https://doi.org/10.1145/3183575openalex-snapshot

Amandroid

inferredcites →https://doi.org/10.1145/3371924openalex-snapshot

Assessing and Improving Malware Detection Sustainability through App Evolution Studies

inferredcites →https://doi.org/10.1145/3423096openalex-snapshot

Why an Android App Is Classified as Malware

inferredcites →https://doi.org/10.1145/3427228.3427261openalex-snapshot

AVclass2: Massive Malware Tag Extraction from AV Labels

inferredcites →https://doi.org/10.1145/3442588openalex-snapshot

IntDroid

inferredcites →https://doi.org/10.1145/3446905openalex-snapshot

On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection

inferredcites →https://doi.org/10.1145/3465361openalex-snapshot

Maat

inferredcites →https://doi.org/10.1145/3503463openalex-snapshot

A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores

inferredcites →https://doi.org/10.1145/3530906openalex-snapshot

MalRadar

inferredcites →https://doi.org/10.1145/3660853.3660887openalex-snapshot

Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection

inferredcites →https://doi.org/10.1145/3664806openalex-snapshot

Meta-Learning for Multi-Family Android Malware Classification

inferredcites →https://doi.org/10.1155/2008/712353openalex-snapshot

Efficient Signature Based Malware Detection on Mobile Devices

inferredcites →https://doi.org/10.17781/p002605openalex-snapshot

Analysis of Android Malware Detection Techniques: A Systematic Review

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