On the public citation graph
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
0 signed · 113 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-47217-1_8openalex-snapshot
Android Malware Classification by Applying Online Machine Learning
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/s00500-019-03940-5openalex-snapshot
Deep learning for effective Android malware detection using API call graph embeddings
inferredcites →https://doi.org/10.1007/s10115-016-0918-zopenalex-snapshot
ALDROID: efficient update of Android anti-virus software using designated active learning methods
inferredcites →https://doi.org/10.1007/s11042-013-1754-8openalex-snapshot
UGC-JU face database and its benchmarking using linear regression classifier
inferredcites →https://doi.org/10.1007/s11042-019-07943-0openalex-snapshot
A distance weighted linear regression classifier based on optimized distance calculating approach for face recognition
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.02.013openalex-snapshot
Machine learning aided Android malware classification
inferredcites →https://doi.org/10.1016/j.cose.2016.11.007openalex-snapshot
AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection
inferredcites →https://doi.org/10.1016/j.diin.2015.02.001openalex-snapshot
A review on feature selection in mobile malware detection
inferredcites →https://doi.org/10.1016/j.eswa.2011.08.116openalex-snapshot
A novel hybrid classification model of artificial neural networks and multiple linear regression models
inferredcites →https://doi.org/10.1016/j.jart.2015.08.001openalex-snapshot
A robust regression based classifier with determination of optimal feature set
inferredcites →https://doi.org/10.1023/a:1007607513941openalex-snapshot
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
inferredcites →https://doi.org/10.1080/15536548.2015.1073510openalex-snapshot
M0Droid: An Android Behavioral-Based Malware Detection Model
inferredcites →https://doi.org/10.1109/access.2017.2771470openalex-snapshot
Machine Learning-Based Malicious Application Detection of Android
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/iceei.2015.7352512openalex-snapshot
Android anomaly detection system using machine learning classification
inferredcites →https://doi.org/10.1109/icmlc.2013.6890444openalex-snapshot
Mutiple classifier system based android malware detection
inferredcites →https://doi.org/10.1109/ispcc.2012.6224355openalex-snapshot
An efficient linear regression classifier
inferredcites →https://doi.org/10.1109/siu49456.2020.9302502openalex-snapshot
Comparison of Regression Methods in Permission Based Android 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/tpami.2010.128openalex-snapshot
Linear Regression for Face Recognition
inferredcites →https://doi.org/10.1109/tr.2017.2778147openalex-snapshot
MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs
inferredcites →https://doi.org/10.1109/trustcom.2015.375openalex-snapshot
Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes
inferredcites →https://doi.org/10.1142/s0218194019500037openalex-snapshot
Permission-Based Malware Detection System for Android Using Machine Learning Techniques
inferredcites →https://doi.org/10.1145/2875475.2875487openalex-snapshot
Evaluation of Android Malware Detection Based on System Calls
inferredcites →https://doi.org/10.18046/syt.v14i37.2241openalex-snapshot
Framework for malware analysis in Android
inferredcites →https://doi.org/10.3390/electronics10131606openalex-snapshot
Android Mobile Malware Detection Using Machine Learning: A Systematic Review
inferredcites →https://doi.org/10.3390/info12050185openalex-snapshot
A Comprehensive Survey on Machine Learning Techniques for Android Malware Detection
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/10.7717/peerj-cs.522openalex-snapshot
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)
inferredcites →https://doi.org/10.7717/peerj-cs.533openalex-snapshot
AndroAnalyzer: android malicious software detection based on deep learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/adma.202413430openalex-snapshot
Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives
inferred← citeshttps://doi.org/10.1002/cpe.7044openalex-snapshot
Electro search optimization based long short‐term memory network for mobile malware detection
inferred← citeshttps://doi.org/10.1007/978-3-031-47942-7_43openalex-snapshot
Feature Selection-Based Machine Learning Model for Malware Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-48781-1_20openalex-snapshot
Security Defect Identification of Android Applications by Permission Extraction using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-50887-5_23openalex-snapshot
Support Vector Machines Based Android Malware Detection Using Permissions, API Calls, and Library Lists
inferred← citeshttps://doi.org/10.1007/978-3-031-86637-1_8openalex-snapshot
Intelligent Methods for Android Malware Detection: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-032-10250-8_16openalex-snapshot
AndroV-Rank: Optimized Android Malware Detection Through VIKOR-Ranked Hybrid Features
inferred← citeshttps://doi.org/10.1007/978-981-96-9443-3_7openalex-snapshot
Android Malware Detection Based on Permissions and API Calls Using Ensemble Based Model
inferred← citeshttps://doi.org/10.1007/978-981-97-8631-2_13openalex-snapshot
Mining Intelligence Hierarchical Feature for Malware Detection
inferred← citeshttps://doi.org/10.1007/s10207-024-00822-2openalex-snapshot
A comprehensive review on permissions-based Android malware detection
inferred← citeshttps://doi.org/10.1007/s11042-024-18511-6openalex-snapshot
IPAnalyzer: A novel Android malware detection system using ranked Intents and Permissions
inferred← citeshttps://doi.org/10.1007/s11277-024-11128-wopenalex-snapshot
An Efficient Security Testing for Android Application Based on Behavior and Activities Using Improved PCA and DNN-KNN Classifier
inferred← citeshttps://doi.org/10.1007/s11334-023-00530-5openalex-snapshot
AndyWar: an intelligent android malware detection using machine learning
inferred← citeshttps://doi.org/10.1007/s12083-023-01597-4openalex-snapshot
Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning
inferred← citeshttps://doi.org/10.1007/s44196-025-00783-xopenalex-snapshot
Hybrid Android Malware Detection and Classification Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2024.141584openalex-snapshot
The application of machine learning methods for prediction of heavy metal by activated carbons, biochars, and carbon nanotubes
inferred← citeshttps://doi.org/10.1016/j.csi.2024.103920openalex-snapshot
TDBAMLA: Temporal and dynamic behavior analysis in Android malware using LSTM and attention mechanisms
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107284openalex-snapshot
Signal detection and material identification method for loose particles inside sealed relays based on fusion classification model
inferred← citeshttps://doi.org/10.1016/j.icte.2026.01.005openalex-snapshot
Feature-driven static analysis for learning-based android malware detection: A review
inferred← citeshttps://doi.org/10.1016/j.jisa.2025.104191openalex-snapshot
Towards a robust android malware detection model using explainable deep learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118377openalex-snapshot
A survey on industrial image anomaly detection: methods, benchmarks and rethinks
inferred← citeshttps://doi.org/10.1016/j.pmatsci.2025.101653openalex-snapshot
Advanced simulations from DFT to machine learning for solid-state hydrogen storage: fundamentals, progresses, challenges and perspectives
inferred← citeshttps://doi.org/10.1016/j.procs.2023.03.101openalex-snapshot
A Comparative Analysis of Machine Learning Algorithms for Android Malware Detection
inferred← citeshttps://doi.org/10.1016/j.procs.2026.09.058openalex-snapshot
Machine Learning Techniques for Classification of Single and Dual-band Antennas Designed by Topology Optimization
inferred← citeshttps://doi.org/10.1016/j.teler.2024.100130openalex-snapshot
Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review
inferred← citeshttps://doi.org/10.1038/s41598-025-34414-4openalex-snapshot
Energy consumption forecasting in logistics considering environmental and operational constraints using FT-transformer architecture
inferred← citeshttps://doi.org/10.1063/5.0221856openalex-snapshot
Android malware: Understanding the growing threat landscape and safeguarding measures
inferred← citeshttps://doi.org/10.1063/5.0234364openalex-snapshot
A distributed approach for implementing multi-linear regression using gradient descent: Toward efficient cyber attacks detection algorithms
inferred← citeshttps://doi.org/10.1063/5.0264904openalex-snapshot
Efficient android ransomware detection using enhanced LSTM comparing with linear regression algorithm for predict accuracy
inferred← citeshttps://doi.org/10.1063/5.0288465openalex-snapshot
Survey on machine learning approach for malware detection
inferred← citeshttps://doi.org/10.1063/5.0333832openalex-snapshot
Mobile malware detection using optimized machine learning
inferred← citeshttps://doi.org/10.1080/01488376.2023.2259936openalex-snapshot
The Effects of Organizational Social Support on Left-behind Children’s Resilience in China
inferred← citeshttps://doi.org/10.1080/23742917.2025.2553924openalex-snapshot
Real-time Android malware detection using Graph Isomorphism Network and statistical network traffic features
inferred← citeshttps://doi.org/10.1080/24725854.2022.2157912openalex-snapshot
Federated data analytics: A study on linear models
inferred← citeshttps://doi.org/10.1109/accai61061.2024.10602181openalex-snapshot
Identifying Malware using Machine Learning Ensemble Model
inferred← citeshttps://doi.org/10.1109/access.2022.3160797openalex-snapshot
How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting
inferred← citeshttps://doi.org/10.1109/access.2022.3210386openalex-snapshot
A Formal Method for Description and Decision of Android Apps Behavior Based on Process Algebra
inferred← citeshttps://doi.org/10.1109/access.2023.3256979openalex-snapshot
Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2023.3296606openalex-snapshot
A Lightweight and Multi-Stage Approach for Android Malware Detection Using Non-Invasive Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/access.2023.3323845openalex-snapshot
Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2023.3328351openalex-snapshot
A Review of State-of-the-Art Malware Attack Trends and Defense Mechanisms
inferred← citeshttps://doi.org/10.1109/access.2024.3486094openalex-snapshot
Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector
inferred← citeshttps://doi.org/10.1109/access.2025.3589656openalex-snapshot
A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware
inferred← citeshttps://doi.org/10.1109/esci59607.2024.10497206openalex-snapshot
A Novel Approach Using Feature Fusion for Android Malware Detection and Classification
inferred← citeshttps://doi.org/10.1109/gcwcn66157.2025.11447487openalex-snapshot
Android Malware Detection using Optimized Feature Selection with Genetic Algorithm and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icaaic60222.2024.10575129openalex-snapshot
Intelligent Behavioral Monitoring and Detection of Preinstalled Malicious Applications on Smartphones Sold in Emerging African Markets
inferred← citeshttps://doi.org/10.1109/icccis56430.2022.10037699openalex-snapshot
Malware detection in Android devices Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icccis60361.2023.10425513openalex-snapshot
Malware Detection in Mobile Devices Using Hard Voting Ensemble Technique
inferred← citeshttps://doi.org/10.1109/icces63552.2024.10859971openalex-snapshot
Integrating Stacking Ensembles with SVM Kernels for High-Fidelity Malware Classification
inferred← citeshttps://doi.org/10.1109/icicacs60521.2024.10498674openalex-snapshot
Sine Cosine Reptile Search Algorithm with Grid Search Support Vector Machine based Ransomware Detection and Classification
inferred← citeshttps://doi.org/10.1109/icmcsi64620.2025.10883478openalex-snapshot
Optimised Classification of Android Malware Using ML Classifiers and Stacking Ensemble Algorithm
inferred← citeshttps://doi.org/10.1109/icore58172.2022.00032openalex-snapshot
Hybrid Android Malware Detection Model using Machine learning Algorithms
inferred← citeshttps://doi.org/10.1109/icscds56580.2023.10104900openalex-snapshot
An Empirical Study of Efficient Malware Detection Analysis on Android Mobile Phones using Machine Learning
inferred← citeshttps://doi.org/10.1109/icscss57650.2023.10169391openalex-snapshot
Smartphone Malware Detection using Permissions and McNemar test
inferred← citeshttps://doi.org/10.1109/isas64331.2024.10845539openalex-snapshot
Crab Age Prediction using Machine Learning for Sustainable Crab Farming
inferred← citeshttps://doi.org/10.1109/nkcon59507.2023.10396500openalex-snapshot
Android Malware: Comprehensive Study and a Cross-Feature Light Weight Proposed Solution
inferred← citeshttps://doi.org/10.1109/sist61674.2026.11596349openalex-snapshot
A Comparative Study of Supervised Machine Learning Algorithms for Ransomware Detection
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394198openalex-snapshot
Comparing the Effectiveness of Static, Dynamic and Hybrid Malware Detection on a Common Dataset
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3561944openalex-snapshot
MalScan: Android Malware Detection Based on Social-Network Centrality Analysis
inferred← citeshttps://doi.org/10.1111/exsy.13488openalex-snapshot
Android malware analysis and detection: A systematic review
inferred← citeshttps://doi.org/10.1145/3715909openalex-snapshot
Beyond Decision: Android Malware Description Generation through Profiling Malicious Behavior Trajectory
inferred← citeshttps://doi.org/10.1155/2022/7775917openalex-snapshot
A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis
inferred← citeshttps://doi.org/10.11591/ijeecs.v34.i2.pp970-982openalex-snapshot
Proactive ransomware prevention in pervasive IoMT via hybrid machine learning
inferred← citeshttps://doi.org/10.1186/s13021-026-00438-0openalex-snapshot
Railway carbon emission scenario prediction in four regions of China based on machine learning
inferred← citeshttps://doi.org/10.12785/ijcds/150147openalex-snapshot
A Hybrid Approach Based On Boosting Algorithm For Effective Android Malware Detection
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/10.21203/rs.3.rs-10392103/v1openalex-snapshot
A Hardware-Efficient Android Malware Detection Framework for Resource-Constrained Devices
inferred← citeshttps://doi.org/10.22266/ijies2024.0630.49openalex-snapshot
Feature Selection Using Adaptive Weight Based Grey Wolf Optimization for Malware Detection in Android
inferred← citeshttps://doi.org/10.26439/interfases2024.n19.7097openalex-snapshot
Dynamic Malware Analysis Using Machine Learning-Based Detection Algorithms
inferred← citeshttps://doi.org/10.32604/cmc.2023.032984openalex-snapshot
Malware Detection in Android IoT Systems Using Deep Learning
inferred← citeshttps://doi.org/10.33317/ssurj.584openalex-snapshot
A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs
inferred← citeshttps://doi.org/10.3390/math11112481openalex-snapshot
Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques
inferred← citeshttps://doi.org/10.3390/technologies14070451openalex-snapshot
Behavioral Biometric Continuous Authentication for Mobile Devices with an Intelligent Personal Agent: A Systematic Review
inferred← citeshttps://doi.org/10.37058/sport.v7i2.7807openalex-snapshot
Pengembangan Latihan Kebugaran HIIT 7 Menit Berbasis Aplikasi Android
inferred← citeshttps://doi.org/10.4018/978-1-6684-9317-5.ch012openalex-snapshot
Hybrid Feature Selection Model for Detection of Android Malware and Family Classification
inferred← citeshttps://doi.org/10.54254/2755-2721/15/20230840openalex-snapshot
Chinese stock price prediction under COVID-19 period based on linear Regression Model
inferred← citeshttps://doi.org/10.62110/sciencein.jist.2024.v12.788openalex-snapshot
Assessing the efficacy of Machine learning classifier for Android malware detection
inferred← citeshttps://doi.org/10.7717/peerj-cs.1092openalex-snapshot
Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers
inferred← citeshttps://doi.org/10.7717/peerj-cs.2362openalex-snapshot
PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.