On the public citation graph

Dominant Feature Selection and Machine Learning-Based Hybrid Approach to Analyze Android Ransomware

https://doi.org/10.1155/2021/7035233

0 signed · 93 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.

Claim with ORCID

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-70866-5_18openalex-snapshot

A Semi-automated Approach for Identification of Trends in Android Ransomware Literature

inferredcites →https://doi.org/10.1007/978-3-319-26362-5_18openalex-snapshot

HelDroid: Dissecting and Detecting Mobile Ransomware

inferredcites →https://doi.org/10.1007/978-3-319-39570-8_14openalex-snapshot

Ransomware Steals Your Phone. Formal Methods Rescue It

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/10.1007/978-3-319-64701-2_14openalex-snapshot

DNA-Droid: A Real-Time Android Ransomware Detection Framework

inferredcites →https://doi.org/10.1007/978-3-319-75650-9_16openalex-snapshot

Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection

inferredcites →https://doi.org/10.1007/s00521-016-2708-7openalex-snapshot

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/s11277-015-2585-xopenalex-snapshot

Experimental Characterization and Analysis for Ultra Wideband Outdoor Channel

inferredcites →https://doi.org/10.1007/s11416-015-0244-0openalex-snapshot

Behavior-based features model for malware detection

inferredcites →https://doi.org/10.1016/j.cose.2018.01.001openalex-snapshot

Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions

inferredcites →https://doi.org/10.1016/j.eij.2020.05.003openalex-snapshot

Internet of things and ransomware: Evolution, mitigation and prevention

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.future.2016.05.035openalex-snapshot

Risk analysis of Android applications: A user-centric solution

inferredcites →https://doi.org/10.1016/j.future.2017.01.019openalex-snapshot

Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers

inferredcites →https://doi.org/10.1016/j.jcss.2014.12.014openalex-snapshot

Malware behavioural detection and vaccine development by using a support vector model classifier

inferredcites →https://doi.org/10.1016/j.pmcj.2016.03.003openalex-snapshot

An integrated static detection and analysis framework for android

inferredcites →https://doi.org/10.1080/01431160412331269698openalex-snapshot

Random forest classifier for remote sensing classification

inferredcites →https://doi.org/10.1109/access.2018.2792941openalex-snapshot

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System

inferredcites →https://doi.org/10.1109/access.2019.2958927openalex-snapshot

Android Malware Detection Based on Factorization Machine

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/access.2020.3002842openalex-snapshot

A Systematic Literature Review of Android Malware Detection Using Static Analysis

inferredcites →https://doi.org/10.1109/ccece.2015.7129175openalex-snapshot

Hybrid concentration based feature extraction approach for malware detection

inferredcites →https://doi.org/10.1109/icdcs.2016.46openalex-snapshot

CryptoLock (and Drop It): Stopping Ransomware Attacks on User Data

inferredcites →https://doi.org/10.1109/pimrcw.2019.8880840openalex-snapshot

AndMFC: Android Malware Family Classification Framework

inferredcites →https://doi.org/10.1109/tdsc.2014.2355839openalex-snapshot

A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code

inferredcites →https://doi.org/10.1109/tifs.2016.2646641openalex-snapshot

Monet: A User-Oriented Behavior-Based Malware Variants Detection System for Android

inferredcites →https://doi.org/10.1109/tifs.2017.2771228openalex-snapshot

Detecting Android Malware Leveraging Text Semantics of Network Flows

inferredcites →https://doi.org/10.1155/2018/6020461openalex-snapshot

The Dangers of Rooting: Data Leakage Detection in Android Applications

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/10.32604/cmc.2021.014504openalex-snapshot

Understanding Research Trends in Android Malware Research Using Information Modelling Techniques

inferredcites →https://doi.org/10.3390/s20247013openalex-snapshot

Deep Feature Extraction and Classification of Android Malware Images

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-96-1918-4_3openalex-snapshot

Ransomware Detection Using Machine Learning and Explainable AI

inferred← citeshttps://doi.org/10.1007/978-981-97-0767-6_43openalex-snapshot

A Study of Cybersecurity in Industrial Internet of Things (IIoT)

inferred← citeshttps://doi.org/10.1007/978-981-97-8031-0_114openalex-snapshot

Development of a Machine Learning Model for Enhancing the Security of the Internet of Things (IoT) System

inferred← citeshttps://doi.org/10.1007/s00521-023-09366-3openalex-snapshot

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

inferred← citeshttps://doi.org/10.1007/s13042-024-02303-3openalex-snapshot

Detection and analysis of android malwares using hybrid dual Path bi-LSTM Kepler dynamic graph convolutional network

inferred← citeshttps://doi.org/10.1007/s42979-024-03454-4openalex-snapshot

Feature Selection Using Particle Swarm Optimization and Ensemble-Based Machine Learning Models for Ransomware Detection

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.108059openalex-snapshot

Distributed optimization of heterogeneous UAV cluster PID controller based on machine learning

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109233openalex-snapshot

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100801openalex-snapshot

A conceptual framework to mitigate ransomware attacks on IoMT devices using threat intelligence: a systematic literature review

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120682openalex-snapshot

TOPSIS-based comprehensive measure of variable importance in predictive modelling

inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103950openalex-snapshot

Leveraging application permissions and network traffic attributes for Android ransomware detection

inferred← citeshttps://doi.org/10.1049/cmu2.12530openalex-snapshot

Retracted: Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises

inferred← citeshttps://doi.org/10.1049/tje2.12153openalex-snapshot

A study on detection and defence of malicious code under network security over biomedical devices

inferred← citeshttps://doi.org/10.1088/2631-8695/ada3b3openalex-snapshot

Realtime ransomware process detection using an advanced hybrid approach with machine learning within IoT ecosystems

inferred← citeshttps://doi.org/10.1093/comjnl/bxag055openalex-snapshot

HealthDroid: malware detection in healthcare Android application using BERT

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/acdsa65407.2025.11166547openalex-snapshot

High-Accuracy Android Ransomware Detection Using SMALI Code-Based Analysis

inferred← citeshttps://doi.org/10.1109/asiancon66527.2025.11280957openalex-snapshot

Adaptive Multi-Model Ensemble Learning for Continuous Behavioral Biometric User Authentication

inferred← citeshttps://doi.org/10.1109/csnet67572.2025.11288159openalex-snapshot

Multi-level Architecture for IoT-based Android Ransomware Detection and Family Attribution

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/esci59607.2024.10497206openalex-snapshot

A Novel Approach Using Feature Fusion for Android Malware Detection and Classification

inferred← citeshttps://doi.org/10.1109/icaihc59020.2023.10431477openalex-snapshot

A Novel Malware Detection and Classification for Healthcare Apps

inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392037openalex-snapshot

Analyzing Data Scientist Salaries Dataset Through Machine Learning Algorithms Using Tool “Orange”

inferred← citeshttps://doi.org/10.1109/icrito56286.2022.9964908openalex-snapshot

Empirical Methods, Anomaly Detection and Preventive Measures of Web Attacks

inferred← citeshttps://doi.org/10.1109/inc460750.2024.10649082openalex-snapshot

Quantum Exploration in Ransomware Detection with Conventional Machine Learning Approaches

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/10.1111/exsy.13155openalex-snapshot

Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT‐enabled maritime transportation systems

inferred← citeshttps://doi.org/10.1145/3691340openalex-snapshot

Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration

inferred← citeshttps://doi.org/10.1155/2022/1473901openalex-snapshot

The Future Development Direction of Cloud-Associated Edge-Computing Security in the Era of 5G as Edge Intelligence

inferred← citeshttps://doi.org/10.1155/2022/1859222openalex-snapshot

[Retracted] Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification

inferred← citeshttps://doi.org/10.1155/2022/2302027openalex-snapshot

An Optimized Systematic Approach to Identify Bugs in Cloud-Based Software

inferred← citeshttps://doi.org/10.1155/2022/4477507openalex-snapshot

Towards Development of Machine Learning Framework for Enhancing Security in Internet of Things

inferred← citeshttps://doi.org/10.1155/2022/5867524openalex-snapshot

A Novel Traffic Surveillance System Using an Uncalibrated Camera

inferred← citeshttps://doi.org/10.1155/2022/8481452openalex-snapshot

ML‐DDoSnet: IoT Intrusion Detection Based on Denial‐of‐Service Attacks Using Machine Learning Methods and NSL‐KDD

inferred← citeshttps://doi.org/10.1155/2022/9112587openalex-snapshot

[Retracted] Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network

inferred← citeshttps://doi.org/10.1155/2023/3344539openalex-snapshot

Formulation, Characterization, and Determination of the Rheological Profile of Loquat Compote Mespilus Germánica L. through Sustenance Artificial Intelligence

inferred← citeshttps://doi.org/10.1186/s44147-023-00334-1openalex-snapshot

A new QoS-aware service discovery technique in the Internet of Things using whale optimization and genetic algorithms

inferred← citeshttps://doi.org/10.1201/9781003471059-1openalex-snapshot

AI-driven global talent prediction: Anticipating international graduate admissions

inferred← citeshttps://doi.org/10.1201/9781003471059-18openalex-snapshot

Computational task off-loading using deep Q-learning in mobile edge computing

inferred← citeshttps://doi.org/10.1201/9781003471059-28openalex-snapshot

Drowsiness detection in drivers: A machine learning approach using hough circle classification algorithm for eye retina images

inferred← citeshttps://doi.org/10.1201/9781003471059-36openalex-snapshot

Pediatric thyroid ultrasound image classification using deep learning: A review

inferred← citeshttps://doi.org/10.1201/9781003471059-44openalex-snapshot

Integrating metaverse and blockchain for transparent and secure logistics management

inferred← citeshttps://doi.org/10.1201/9781003471059-48openalex-snapshot

Cattle identification using muzzle images

inferred← citeshttps://doi.org/10.1201/9781003471059-62openalex-snapshot

Quantum cloud computing: Integrating quantum algorithms for enhanced scalability and performance in cloud architectures

inferred← citeshttps://doi.org/10.1201/9781003471059-65openalex-snapshot

Quantum deep learning on driven trust-based routing framework for IoT in the metaverse context

inferred← citeshttps://doi.org/10.1201/9781003471059-7openalex-snapshot

Crop recommendation using machine learning

inferred← citeshttps://doi.org/10.12785/ijcds/150165openalex-snapshot

RFSA: A Ransomware Feature Selection Algorithm for Multivariate Analysis of Malware Behavior in Cryptocurrency

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01408101openalex-snapshot

Towards Secure Blockchain-enabled Cloud Computing: A Taxonomy of Security Issues and Recent Advances

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01409104openalex-snapshot

Machine Learning for Smart Cities: A Comprehensive Review of Applications and Opportunities

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01409115openalex-snapshot

Virtual Machine Allocation in Cloud Computing Environments using Giant Trevally Optimizer

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01409120openalex-snapshot

Enhancing Decision-Making with Data Science in the Internet of Things Environments

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140999openalex-snapshot

A QoS-aware Mechanism for Reducing TCP Retransmission Timeouts using Network Tomography

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141026openalex-snapshot

Whale Optimization Algorithm for Energy-Efficient Task Allocation in the Internet of Things

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141094openalex-snapshot

Hybrid Integrated Aquila Optimizer for Efficient Service Composition with Quality of Service Guarantees in Cloud Computing

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141096openalex-snapshot

Efficient Cloud Workflow Scheduling with Inverted Ant Colony Optimization Algorithm

inferred← citeshttps://doi.org/10.3233/jifs-233302openalex-snapshot

Vehicle type classification in intelligent transportation systems using deep learning

inferred← citeshttps://doi.org/10.3233/jifs-234582openalex-snapshot

RETRACTED: Deep reinforcement learning for QoS-driven cloud healthcare services selection: A framework and performance evaluation

inferred← citeshttps://doi.org/10.3389/fnins.2023.1256351openalex-snapshot

Trends in using deep learning algorithms in biomedical prediction systems

inferred← citeshttps://doi.org/10.3389/fpubh.2023.1273253openalex-snapshot

Medical image analysis using deep learning algorithms

inferred← citeshttps://doi.org/10.3390/s24010189openalex-snapshot

Android Ransomware Detection Using Supervised Machine Learning Techniques Based on Traffic Analysis

inferred← citeshttps://doi.org/10.5753/semish.2023.229616openalex-snapshot

Um Estudo Acerca da Seleção de Features para a Detecção dos Ransomwares WannaCry, Ryuk e CryptoLocker

inferred← citeshttps://doi.org/10.70528/ijlrp.v6.i7.1683openalex-snapshot

Mitigating Ransomware Threats: A Machine Learning Perspective on Dynamic Feature Utilization

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.