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https://doi.org/10.2139/ssrn.4646635

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inferredcites →https://doi.org/10.1007/978-3-319-64701-2_14openalex-extracted
DNA-Droid: A Real-Time Android Ransomware Detection Framework
inferredcites →https://doi.org/10.1007/s00500-018-3377-5openalex-extracted
Entropy-based security risk measurement for Android mobile applications
inferredcites →https://doi.org/10.1007/s00500-019-04589-wopenalex-extracted
DroidDeep: using Deep Belief Network to characterize and detect android malware
inferredcites →https://doi.org/10.1007/s00521-016-2708-7openalex-extracted
An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features
inferredcites →https://doi.org/10.1007/s00521-017-2914-yopenalex-extracted
HEMD: a highly efficient random forest-based malware detection framework for Android
inferredcites →https://doi.org/10.1007/s00521-020-05309-4openalex-extracted
MLDroid—framework for Android malware detection using machine learning techniques
inferredcites →https://doi.org/10.1007/s00521-023-08303-8openalex-extracted
RealMalSol: real-time optimized model for Android malware detection using efficient neural networks and model quantization
inferredcites →https://doi.org/10.1007/s10586-017-0981-6openalex-extracted
Android malware detection method based on naive Bayes and permission correlation algorithm
inferredcites →https://doi.org/10.1007/s10723-018-9455-1openalex-extracted
An Automated Permission Selection Framework for Android Platform
inferredcites →https://doi.org/10.1007/s10844-020-00598-6openalex-extracted
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection
inferredcites →https://doi.org/10.1007/s11042-017-4586-0openalex-extracted
Bio-inspired computational paradigm for feature investigation and malware detection: interactive analytics
inferredcites →https://doi.org/10.1007/s11042-020-10367-wopenalex-extracted
FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques
inferredcites →https://doi.org/10.1007/s11042-021-10647-zopenalex-extracted
A new machine learning-based method for android malware detection on imbalanced dataset
inferredcites →https://doi.org/10.1007/s11042-021-10749-8openalex-extracted
Multimodal information fusion for android malware detection using lazy learning
inferredcites →https://doi.org/10.1007/s11042-022-13767-2openalex-extracted
Android malware detection applying feature selection techniques and machine learning
inferredcites →https://doi.org/10.1007/s11042-022-14236-6openalex-extracted
EfficientNet deep learning meta-classifier approach for image-based android malware detection
inferredcites →https://doi.org/10.1007/s11042-023-15264-6openalex-extracted
A novel efficient optimized machine learning approach to detect malware activities in android applications
inferredcites →https://doi.org/10.1007/s11042-023-16035-zopenalex-extracted
A new approach to android malware detection using fuzzy logic-based simulated annealing and feature selection
inferredcites →https://doi.org/10.1007/s11222-009-9153-8openalex-extracted
Estimation of prediction error by using K-fold cross-validation
inferredcites →https://doi.org/10.1007/s11227-020-03569-4openalex-extracted
HybriDroid: an empirical analysis on effective malware detection model developed using ensemble methods
inferredcites →https://doi.org/10.1007/s11277-022-09765-0openalex-extracted
An Efficient Android Malware Detection Using Adaptive Red Fox Optimization Based CNN
inferredcites →https://doi.org/10.1007/s11416-016-0277-zopenalex-extracted
Identification of malicious android app using manifest and opcode features
inferredcites →https://doi.org/10.1007/s11416-021-00390-2openalex-extracted
Detection and robustness evaluation of android malware classifiers
inferredcites →https://doi.org/10.1007/s11416-023-00495-wopenalex-extracted
Android ransomware detection using a novel hamming distance based feature selection
inferredcites →https://doi.org/10.1007/s11704-017-6493-yopenalex-extracted
Fingerprinting Android malware families
inferredcites →https://doi.org/10.1007/s12065-020-00518-1openalex-extracted
SOMDROID: android malware detection by artificial neural network trained using unsupervised learning
inferredcites →https://doi.org/10.1007/s12667-019-00359-7openalex-extracted
Intent and permission modeling for privacy leakage detection in android
inferredcites →https://doi.org/10.1007/s13042-020-01238-9openalex-extracted
SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches
inferredcites →https://doi.org/10.1007/s13369-017-2951-yopenalex-extracted
Bio-inspired for Features Optimization and Malware Detection
inferredcites →https://doi.org/10.1016/j.cose.2014.02.009openalex-extracted
Mobile malware detection through analysis of deviations in application network behavior
inferredcites →https://doi.org/10.1016/j.cose.2021.102399openalex-extracted
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization
inferredcites →https://doi.org/10.1016/j.cose.2023.103126openalex-extracted
DroidRL: Feature selection for android malware detection with reinforcement learning
inferredcites →https://doi.org/10.1016/j.diin.2015.01.001openalex-extracted
APK Auditor: Permission-based Android malware detection system
inferredcites →https://doi.org/10.1016/j.eswa.2022.117833openalex-extracted
DroidMalwareDetector: A novel Android malware detection framework based on convolutional neural network
inferredcites →https://doi.org/10.1016/j.eswa.2022.118705openalex-extracted
Android malware detection based on multi-head squeeze-and-excitation residual network
inferredcites →https://doi.org/10.1016/j.fsidi.2023.301511openalex-extracted
Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses
inferredcites →https://doi.org/10.1016/j.jisa.2021.102751openalex-extracted
Detection of malicious Android applications using Ontology-based intelligent model in mobile cloud environment
inferredcites →https://doi.org/10.1016/j.jisa.2022.103159openalex-extracted
You are what the permissions told me! Android malware detection based on hybrid tactics
inferredcites →https://doi.org/10.1016/j.jksuci.2021.11.004openalex-extracted
A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain
inferredcites →https://doi.org/10.1016/j.jss.2014.10.031openalex-extracted
Profiling and classifying the behavior of malicious codes
inferredcites →https://doi.org/10.1016/j.neucom.2014.10.004openalex-extracted
Android based malware detection using a multifeature collaborative decision fusion approach
inferredcites →https://doi.org/10.1016/j.pmcj.2016.03.003openalex-extracted
An integrated static detection and analysis framework for android
inferredcites →https://doi.org/10.1049/iet-ifs.2019.0418openalex-extracted
Improved real‐time permission based malware detection and clustering approach using model independent pruning
inferredcites →https://doi.org/10.1109/access.2018.2792941openalex-extracted
SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System
inferredcites →https://doi.org/10.1109/access.2018.2835654openalex-extracted
DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features
inferredcites →https://doi.org/10.1109/access.2018.2844349openalex-extracted
A Novel Dynamic Android Malware Detection System With Ensemble Learning
inferredcites →https://doi.org/10.1109/access.2022.3219047openalex-extracted
A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
inferredcites →https://doi.org/10.1109/bigdata.2017.8258029openalex-extracted
Contaminant removal for Android malware detection systems
inferredcites →https://doi.org/10.1109/cis.2016.0145openalex-extracted
Mmda: Metadata Based Malware Detection on Android
inferredcites →https://doi.org/10.1109/icis.2017.7960108openalex-extracted
Malware detection on android smartphones using keywords vector and SVM
inferredcites →https://doi.org/10.1109/intelcct.2017.8324010openalex-extracted
Dynamic behavior analysis of android applications for malware detection
inferredcites →https://doi.org/10.1109/isdfs.2018.8355360openalex-extracted
Android gaming malware detection using system call analysis
inferredcites →https://doi.org/10.1109/mass.2014.65openalex-extracted
Manilyzer: Automated Android Malware Detection through Manifest Analysis
inferredcites →https://doi.org/10.1109/tifs.2014.2353996openalex-extracted
Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection
inferredcites →https://doi.org/10.1109/tii.2017.2789219openalex-extracted
Significant Permission Identification for Machine-Learning-Based Android Malware Detection
inferredcites →https://doi.org/10.1109/tsmc.2019.2958382openalex-extracted
A Lightweight On-Device Detection Method for Android Malware
inferredcites →https://doi.org/10.1109/worlds450073.2020.9210414openalex-extracted
IPDroid: Android Malware Detection using Intents and Permissions
inferredcites →https://doi.org/10.1142/s2196888820500086openalex-extracted
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection
inferredcites →https://doi.org/10.1145/2508859.2516689openalex-extracted
Vetting undesirable behaviors in android apps with permission use analysis
inferredcites →https://doi.org/10.1145/2901739.2903508openalex-extracted
AndroZoo
inferredcites →https://doi.org/10.1145/3007748.3007763openalex-extracted
Minimizing Network Traffic Features for Android Mobile Malware Detection
inferredcites →https://doi.org/10.1145/3533767.3534221openalex-extracted
PermDroid: automatically testing permission-related behaviour of Android applications
inferredcites →https://doi.org/10.1145/507338.507355openalex-extracted
Data mining
inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-extracted
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
inferredcites →https://doi.org/10.30630/joiv.6.1.859openalex-extracted
An Android Malware Detection System using a Knowledge-based Permission Counting Method
inferredcites →https://doi.org/10.3390/info13120563openalex-extracted
A Context-Aware Android Malware Detection Approach Using Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1711.02715openalex-extracted
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