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Android Malware Family Classification and Analysis: Current Status and Future Directions
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-03638-6_22openalex-snapshot
UpDroid: Updated Android Malware and Its Familial Classification
inferredcites →https://doi.org/10.1007/978-3-030-29407-6_4openalex-snapshot
Static, Dynamic and Intrinsic Features Based Android Malware Detection Using Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-04283-1_6openalex-snapshot
DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android
inferredcites →https://doi.org/10.1007/978-3-319-28865-9_2openalex-snapshot
Detection, Classification and Characterization of Android Malware Using API Data Dependency
inferredcites →https://doi.org/10.1007/978-3-319-45719-2_11openalex-snapshot
AVclass: A Tool for Massive Malware Labeling
inferredcites →https://doi.org/10.1007/978-3-319-47364-2_56openalex-snapshot
Neural Visualization of Android Malware Families
inferredcites →https://doi.org/10.1007/978-3-319-47364-2_59openalex-snapshot
Characterization of Android Malware Families by a Reduced Set of Static Features
inferredcites →https://doi.org/10.1007/978-3-319-60876-1_12openalex-snapshot
Deep Ground Truth Analysis of Current Android Malware
inferredcites →https://doi.org/10.1007/978-3-319-93638-3_48openalex-snapshot
ANTSdroid: Automatic Malware Family Behaviour Generation and Analysis for Android Apps
inferredcites →https://doi.org/10.1007/s11219-017-9368-4openalex-snapshot
A survey on dynamic mobile malware detection
inferredcites →https://doi.org/10.1007/s11704-017-6493-yopenalex-snapshot
Fingerprinting Android malware families
inferredcites →https://doi.org/10.1007/s11704-018-7008-1openalex-snapshot
Analyses for specific defects in android applications: a survey
inferredcites →https://doi.org/10.1016/j.cose.2013.08.010openalex-snapshot
Identifying android malicious repackaged applications by thread-grained system call sequences
inferredcites →https://doi.org/10.1016/j.cose.2015.02.003openalex-snapshot
Screening smartphone applications using malware family signatures
inferredcites →https://doi.org/10.1016/j.cose.2018.10.001openalex-snapshot
A scalable and extensible framework for android malware detection and family attribution
inferredcites →https://doi.org/10.1016/j.engappai.2018.06.006openalex-snapshot
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains
inferredcites →https://doi.org/10.1016/j.eswa.2013.07.106openalex-snapshot
Dendroid: A text mining approach to analyzing and classifying code structures in Android malware families
inferredcites →https://doi.org/10.1016/j.eswa.2017.11.032openalex-snapshot
Picking on the family: Disrupting android malware triage by forcing misclassification
inferredcites →https://doi.org/10.1016/j.future.2019.07.070openalex-snapshot
Static malware detection and attribution in android byte-code through an end-to-end deep system
inferredcites →https://doi.org/10.1016/j.future.2020.02.002openalex-snapshot
Intelligent mobile malware detection using permission requests and API calls
inferredcites →https://doi.org/10.1049/iet-ifs.2014.0099openalex-snapshot
High accuracy android malware detection using ensemble learning
inferredcites →https://doi.org/10.1093/jigpal/jzw046openalex-snapshot
Key features for the characterization of Android malware families
inferredcites →https://doi.org/10.1093/jigpal/jzy030openalex-snapshot
Gaining deep knowledge of Android malware families through dimensionality reduction techniques
inferredcites →https://doi.org/10.1109/access.2018.2874502openalex-snapshot
Countering Android Malware: A Scalable Semi-Supervised Approach for Family-Signature Generation
inferredcites →https://doi.org/10.1109/access.2018.2883975openalex-snapshot
Android Malware Permission-Based Multi-Class Classification Using Extremely Randomized Trees
inferredcites →https://doi.org/10.1109/access.2019.2918139openalex-snapshot
Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions
inferredcites →https://doi.org/10.1109/access.2019.2946392openalex-snapshot
A3CM: Automatic Capability Annotation for Android Malware
inferredcites →https://doi.org/10.1109/access.2019.2963724openalex-snapshot
A Comprehensive Review on Malware Detection Approaches
inferredcites →https://doi.org/10.1109/access.2020.2965646openalex-snapshot
Android Malware Familial Classification Based on DEX File Section Features
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/asiajcis.2012.18openalex-snapshot
DroidMat: Android Malware Detection through Manifest and API Calls Tracing
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005669openalex-snapshot
Identifying Android Malware Families Using Android-Oriented Metrics
inferredcites →https://doi.org/10.1109/cis.2011.226openalex-snapshot
Kernel-based Behavior Analysis for Android Malware Detection
inferredcites →https://doi.org/10.1109/cybersecpods.2016.7502343openalex-snapshot
N-opcode analysis for android malware classification and categorization
inferredcites →https://doi.org/10.1109/dsc.2017.77openalex-snapshot
Analysis of Android Malware Family Characteristic Based on Isomorphism of Sensitive API Call Graph
inferredcites →https://doi.org/10.1109/eisic.2012.34openalex-snapshot
A Machine Learning Approach to Android Malware Detection
inferredcites →https://doi.org/10.1109/icc.2016.7511424openalex-snapshot
Behavior grouping of Android malware family
inferredcites →https://doi.org/10.1109/icccn.2014.6911805openalex-snapshot
MIGDroid: Detecting APP-Repackaging Android malware via method invocation graph
inferredcites →https://doi.org/10.1109/ictai.2013.53openalex-snapshot
Machine Learning for Android Malware Detection Using Permission and API Calls
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852268openalex-snapshot
Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics
inferredcites →https://doi.org/10.1109/iscc47284.2019.8969656openalex-snapshot
Android Malware Family Classification Based on Sensitive Opcode Sequence
inferredcites →https://doi.org/10.1109/issre.2016.14openalex-snapshot
Frequent Subgraph Based Familial Classification of Android Malware
inferredcites →https://doi.org/10.1109/malware.2015.7413693openalex-snapshot
Clustering android malware families by http traffic
inferredcites →https://doi.org/10.1109/malware.2017.8323954openalex-snapshot
Android malware family classification based on resource consumption over time
inferredcites →https://doi.org/10.1109/msr.2017.57openalex-snapshot
Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware
inferredcites →https://doi.org/10.1109/pimrcw.2019.8880840openalex-snapshot
AndMFC: Android Malware Family Classification Framework
inferredcites →https://doi.org/10.1109/pst.2018.8514216openalex-snapshot
Andro-Simnet: Android Malware Family Classification using Social Network Analysis
inferredcites →https://doi.org/10.1109/sp.2012.16openalex-snapshot
Dissecting Android Malware: Characterization and Evolution
inferredcites →https://doi.org/10.1109/tase.2019.00-20openalex-snapshot
Android Malware Family Classification and Characterization Using CFG and DFG
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.2017.2739145openalex-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/tifs.2018.2806891openalex-snapshot
Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis
inferredcites →https://doi.org/10.1109/tifs.2019.2932228openalex-snapshot
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
inferredcites →https://doi.org/10.1109/tifs.2019.2950134openalex-snapshot
PermPair : Android Malware Detection Using Permission Pairs
inferredcites →https://doi.org/10.1109/tifs.2020.2975932openalex-snapshot
Android Malware Detection via (Somewhat) Robust Irreversible Feature Transformations
inferredcites →https://doi.org/10.1109/tst.2016.7399288openalex-snapshot
Droiddetector: android malware characterization and detection using deep learning
inferredcites →https://doi.org/10.1142/s2196888820500086openalex-snapshot
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection
inferredcites →https://doi.org/10.1145/2133601.2133640openalex-snapshot
Detecting repackaged smartphone applications in third-party android marketplaces
inferredcites →https://doi.org/10.1145/2513228.2513295openalex-snapshot
Android malware classification method
inferredcites →https://doi.org/10.1145/2517312.2517315openalex-snapshot
Structural detection of android malware using embedded call graphs
inferredcites →https://doi.org/10.1145/2542128.2542130openalex-snapshot
Lightweight quality assurance framework for third party applications of IVI systems
inferredcites →https://doi.org/10.1145/2660267.2660359openalex-snapshot
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs
inferredcites →https://doi.org/10.1145/2664243.2664275openalex-snapshot
Towards a scalable resource-driven approach for detecting repackaged Android applications
inferredcites →https://doi.org/10.1145/2857705.2857713openalex-snapshot
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
inferredcites →https://doi.org/10.1145/3162625openalex-snapshot
Lightweight, Obfuscation-Resilient Detection and Family Identification of Android Malware
inferredcites →https://doi.org/10.1155/2019/6101697openalex-snapshot
Delving into Android Malware Families with a Novel Neural Projection Method
inferredcites →https://doi.org/10.1186/s13673-018-0125-xopenalex-snapshot
A state-of-the-art survey of malware detection approaches using data mining techniques
inferredcites →https://doi.org/10.12783/dtcse/wcne2016/5088openalex-snapshot
A Survey on Android Malware Detection Techniques
inferredcites →https://doi.org/10.14569/ijacsa.2016.070262openalex-snapshot
Android Malware Detection & Protection: A Survey
inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-snapshot
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
inferredcites →https://doi.org/10.14722/ndss.2017.23379openalex-snapshot
Automated Synthesis of Semantic Malware Signatures using Maximum Satisfiability
inferredcites →https://doi.org/10.15394/jdfsl.2013.1149openalex-snapshot
Trends in Android Malware Detection
inferredcites →https://doi.org/10.17485/ijst/2016/v9i21/90273openalex-snapshot
System Call Analysis of Android Malware Families
inferredcites →https://doi.org/10.18653/v1/w16-1609openalex-snapshot
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
inferredcites →https://doi.org/10.4236/jis.2013.44024openalex-snapshot
Analysis of Malware Families on Android Mobiles: Detection Characteristics Recognizable by Ordinary Phone Users and How to Fix It
inferredcites →https://doi.org/10.4236/jis.2014.52006openalex-snapshot
Malware Analysis and Classification: A Survey
inferredcites →https://doi.org/10.48550/arxiv.2002.03594openalex-snapshot
Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning
inferredcites →https://doi.org/10.5220/0005809205420547openalex-snapshot
Identification of Android Malware Families with Model Checking
inferredcites →https://doi.org/10.5555/1248547.1248566openalex-snapshot
Online Passive-Aggressive Algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-10551-7_7openalex-snapshot
Systematic Review on Various Techniques of Android Malware Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-89960-7_28openalex-snapshot
Comprehensive Malware Detection Framework Using Stacked Machine Learning Classifiers
inferred← citeshttps://doi.org/10.1007/978-981-16-7469-3_19openalex-snapshot
Security Threats and Protection Based on Android Platform
inferred← citeshttps://doi.org/10.1007/978-981-19-2600-6_6openalex-snapshot
Review on Android Malware Detection System
inferred← citeshttps://doi.org/10.1007/978-981-99-7814-4_27openalex-snapshot
A Deep Learning-Based Framework for Android Malware Family Classification
inferred← citeshttps://doi.org/10.1007/s00500-025-10489-zopenalex-snapshot
Robust security risk estimation for android apps using nearest neighbor approach and hamming distance
inferred← citeshttps://doi.org/10.1007/s11042-023-18097-5openalex-snapshot
Novel nature-inspired optimization approach-based svm for identifying the android malicious data
inferred← citeshttps://doi.org/10.1007/s42979-024-02637-3openalex-snapshot
An Overview of Techniques for Obfuscated Android Malware Detection
inferred← citeshttps://doi.org/10.1016/j.cose.2022.102718openalex-snapshot
AdStop: Efficient flow-based mobile adware detection using machine learning
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103654openalex-snapshot
Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122255openalex-snapshot
Detection approaches for android malware: Taxonomy and review analysis
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101320openalex-snapshot
The revolution and vision of explainable AI for Android malware detection and protection
inferred← citeshttps://doi.org/10.1016/j.matpr.2021.10.243openalex-snapshot
Malware analysis: Reverse engineering tools using santuko linux
inferred← citeshttps://doi.org/10.1109/access.2021.3097152openalex-snapshot
ARANAC: A Bring-Your-Own-Permissions Network Access Control Methodology for Android Devices
inferred← citeshttps://doi.org/10.1109/access.2021.3139334openalex-snapshot
Efficient Deep Learning Network With Multi-Streams for Android Malware Family Classification
inferred← citeshttps://doi.org/10.1109/access.2023.3258377openalex-snapshot
Apk2Audio4AndMal: Audio Based Malware Family Detection Framework
inferred← citeshttps://doi.org/10.1109/access.2023.3331739openalex-snapshot
Detection of Android Malware Using Machine Learning and Siamese Shot Learning Technique for Security
inferred← citeshttps://doi.org/10.1109/access.2024.3377658openalex-snapshot
Hybrid Android Malware Detection: A Review of Heuristic-Based Approach
inferred← citeshttps://doi.org/10.1109/access.2024.3400211openalex-snapshot
Maloid-DS: Labeled Dataset for Android Malware Forensics
inferred← citeshttps://doi.org/10.1109/access.2024.3501277openalex-snapshot
Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00351openalex-snapshot
RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps
inferred← citeshttps://doi.org/10.1109/asiancomnet68615.2025.11579703openalex-snapshot
Intelligent Android Malware Detection in Real-World Environments Using Machine and Deep Learning Models
inferred← citeshttps://doi.org/10.1109/caida51941.2021.9425059openalex-snapshot
An Efficient Machine Learning-based Approach for Android v.11 Ransomware Detection
inferred← citeshttps://doi.org/10.1109/comsnets63942.2025.10885739openalex-snapshot
Fourier Feature Extraction with Ensemble Approach for Image based Malware Classification
inferred← citeshttps://doi.org/10.1109/delcon57910.2023.10127577openalex-snapshot
Static Method to Locate Risky Features in Android Applications
inferred← citeshttps://doi.org/10.1109/dessert61349.2023.10416467openalex-snapshot
State-based Sandbox Tool for Distributed Malware Detection with Avoid Techniques
inferred← citeshttps://doi.org/10.1109/iccke50421.2020.9303720openalex-snapshot
DroidTKM: Detection of Trojan Families using the KNN Classifier Based on Manhattan Distance Metric
inferred← citeshttps://doi.org/10.1109/icitsi65188.2024.10929125openalex-snapshot
A Novel Cyber Threat Intelligence (CTI) Framework for Detecting Android Malware: Work on Progress
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00076openalex-snapshot
MalLoc: Toward Fine-Grained Android Malicious Payload Localization via LLMs
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00012openalex-snapshot
APIBeh: Learning Behavior Inclination of APIs for Malware Classification
inferred← citeshttps://doi.org/10.1109/jiot.2025.3553865openalex-snapshot
ACE: A Static Android Malware Detection Method Based on Supervised Contrastive Learning
inferred← citeshttps://doi.org/10.1109/ssci50451.2021.9659888openalex-snapshot
Explainability of Cybersecurity Threats Data Using SHAP
inferred← citeshttps://doi.org/10.1109/tr.2023.3332090openalex-snapshot
Android Malware Family Clustering Based on Multiple Features
inferred← citeshttps://doi.org/10.1145/3587471openalex-snapshot
ANDROIDGYNY: Reviewing Clustering Techniques for Android Malware Family Classification
inferred← citeshttps://doi.org/10.1145/3610223openalex-snapshot
A Survey of Malware Analysis Using Community Detection Algorithms
inferred← citeshttps://doi.org/10.1145/3708500openalex-snapshot
Characterization of Android Malwares and their families
inferred← citeshttps://doi.org/10.1155/2022/8634784openalex-snapshot
A Modified ResNeXt for Android Malware Identification and Classification
inferred← citeshttps://doi.org/10.1186/s42400-023-00139-yopenalex-snapshot
Android malware category detection using a novel feature vector-based machine learning model
inferred← citeshttps://doi.org/10.1371/journal.pone.0310230openalex-snapshot
Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU
inferred← citeshttps://doi.org/10.17148/iarjset.2023.101018openalex-snapshot
Literature Survey on Android Malware Detection Through ML - Based Analysis
inferred← citeshttps://doi.org/10.26735/krvi8434openalex-snapshot
Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies
inferred← citeshttps://doi.org/10.32604/cmc.2022.018631openalex-snapshot
Novel Ransomware Hiding Model Using HEVC Steganography Approach
inferred← citeshttps://doi.org/10.3390/app112110244openalex-snapshot
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions
inferred← citeshttps://doi.org/10.3390/app12031645openalex-snapshot
Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study
inferred← citeshttps://doi.org/10.3390/app12094664openalex-snapshot
Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection
inferred← citeshttps://doi.org/10.3390/electronics10162042openalex-snapshot
Data Transformation Schemes for CNN-Based Network Traffic Analysis: A Survey
inferred← citeshttps://doi.org/10.3390/electronics10243124openalex-snapshot
A Method for Class-Imbalance Learning in Android Malware Detection
inferred← citeshttps://doi.org/10.3390/s20247013openalex-snapshot
Deep Feature Extraction and Classification of Android Malware Images
inferred← citeshttps://doi.org/10.3991/ijim.v16i10.29687openalex-snapshot
Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
inferred← citeshttps://doi.org/10.4018/ijcac.2021100107openalex-snapshot
Android Malware Detection Techniques in Traditional and Cloud Computing Platforms
inferred← citeshttps://doi.org/10.56770/pst2025124openalex-snapshot
Effectiveness of predictive neural network models in improving cyberattack detection and vulnerability assessment in critical infrastructure systems
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.3/reviews/1openalex-snapshot
Peer Review #1 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.3/reviews/2openalex-snapshot
Peer Review #2 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.522v0.3/reviews/3openalex-snapshot
Peer Review #3 of "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.3312openalex-snapshot
A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction
inferred← citeshttps://doi.org/10.7717/peerj-cs.522openalex-snapshot
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)
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