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A Survey of Malware Analysis Using Community Detection Algorithms
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1 of the 99 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1080/19361610.2020.1796162 (notice 2022-02-22).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.6272openalex-snapshot
A survey on analysis and detection of Android ransomware
inferredcites →https://doi.org/10.1002/wics.1403openalex-snapshot
A survey on theoretical advances of community detection in networks
inferredcites →https://doi.org/10.1007/978-1-4842-6193-4openalex-snapshot
Malware Analysis and Detection Engineering
inferredcites →https://doi.org/10.1007/978-3-030-24318-0_66openalex-snapshot
A Study on Overlapping Community Detection for Multimedia Social Network
inferredcites →https://doi.org/10.1007/978-3-030-24907-6_35openalex-snapshot
Automated Construction of Malware Families
inferredcites →https://doi.org/10.1007/978-3-030-49161-1_9openalex-snapshot
An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents
inferredcites →https://doi.org/10.1007/978-3-030-74664-3openalex-snapshot
Android Malware Detection using Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-45719-2_11openalex-snapshot
AVclass: A Tool for Massive Malware Labeling
inferredcites →https://doi.org/10.1007/978-3-662-45355-1_5openalex-snapshot
Industrial Control System Traffic Data Sets for Intrusion Detection Research
inferredcites →https://doi.org/10.1007/978-981-10-6916-1_23openalex-snapshot
A Hybrid Community Based Rough Set Feature Selection Technique in Android Malware Detection
inferredcites →https://doi.org/10.1007/978-981-13-2203-7_21openalex-snapshot
MalCommunity: A Graph-Based Evaluation Model for Malware Family Clustering
inferredcites →https://doi.org/10.1007/978-981-16-0425-6_16openalex-snapshot
Community Detection Algorithms in Complex Networks: A Survey
inferredcites →https://doi.org/10.1007/s00607-019-00705-8openalex-snapshot
Feature selection based on community detection in feature correlation networks
inferredcites →https://doi.org/10.1007/s10489-020-01962-3openalex-snapshot
Community detection in social recommender systems: a survey
inferredcites →https://doi.org/10.1007/s10588-019-09300-wopenalex-snapshot
Detecting malware communities using socio-cultural cognitive mapping
inferredcites →https://doi.org/10.1007/s10618-020-00716-6openalex-snapshot
A survey of community detection methods in multilayer networks
inferredcites →https://doi.org/10.1007/s11416-021-00387-xopenalex-snapshot
Malware detection and classification using community detection and social network analysis
inferredcites →https://doi.org/10.1007/s12652-020-02243-0openalex-snapshot
TriDroid: a triage and classification framework for fast detection of mobile threats in android markets
inferredcites →https://doi.org/10.1007/s13278-019-0566-xopenalex-snapshot
Community detection in large-scale social networks: state-of-the-art and future directions
inferredcites →https://doi.org/10.1016/j.adhoc.2018.07.015openalex-snapshot
Discovering communities of malapps on Android-based mobile cyber-physical systems
inferredcites →https://doi.org/10.1016/j.adhoc.2020.102098openalex-snapshot
End-to-end malware detection for android IoT devices using deep learning
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106729openalex-snapshot
Improving malware detection using big data and ensemble learning
inferredcites →https://doi.org/10.1016/j.cose.2014.05.011openalex-snapshot
An empirical comparison of botnet detection methods
inferredcites →https://doi.org/10.1016/j.cose.2020.101932openalex-snapshot
Scalable and robust unsupervised Android malware fingerprinting using community-based network partitioning
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100286openalex-snapshot
Community detection in node-attributed social networks: A survey
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100358openalex-snapshot
A survey of malware detection in Android apps: Recommendations and perspectives for future research
inferredcites →https://doi.org/10.1016/j.diin.2018.04.019openalex-snapshot
Multinomial malware classification via low-level features
inferredcites →https://doi.org/10.1016/j.engappai.2015.05.005openalex-snapshot
A graph theoretic approach for unsupervised feature selection
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.icte.2020.04.005openalex-snapshot
A survey of IoT malware and detection methods based on static features
inferredcites →https://doi.org/10.1016/j.jisa.2021.102828openalex-snapshot
Malware classification and composition analysis: A survey of recent developments
inferredcites →https://doi.org/10.1016/j.jnca.2019.102526openalex-snapshot
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
inferredcites →https://doi.org/10.1016/j.physa.2019.122058openalex-snapshot
Community detection with the Label Propagation Algorithm: A survey
inferredcites →https://doi.org/10.1016/j.procs.2019.04.042openalex-snapshot
A comprehensive literature review on community detection: Approaches and applications
inferredcites →https://doi.org/10.1016/j.socnet.2019.07.001openalex-snapshot
Community detection in civil society online networks: Theoretical guide and empirical assessment
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101861openalex-snapshot
A survey on machine learning-based malware detection in executable files
inferredcites →https://doi.org/10.1073/pnas.0706851105openalex-snapshot
Maps of random walks on complex networks reveal community structure
inferredcites →https://doi.org/10.1073/pnas.122653799openalex-snapshot
Community structure in social and biological networks
inferredcites →https://doi.org/10.1080/19361610.2020.1796162openalex-snapshot
RETRACTED ARTICLE: A Survey on Malware Detection and Classification
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1088/1742-5468/2015/11/p11006openalex-snapshot
Evaluating accuracy of community detection using the relative normalized mutual information
inferredcites →https://doi.org/10.1103/physreve.76.036106openalex-snapshot
Near linear time algorithm to detect community structures in large-scale networks
inferredcites →https://doi.org/10.1109/access.2017.2720160openalex-snapshot
An Android Malware Detection Approach Using Community Structures of Weighted Function Call Graphs
inferredcites →https://doi.org/10.1109/access.2018.2838568openalex-snapshot
Semi-Supervised Community Detection Based on Distance Dynamics
inferredcites →https://doi.org/10.1109/access.2019.2896003openalex-snapshot
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms
inferredcites →https://doi.org/10.1109/access.2019.2962634openalex-snapshot
Semi-Supervised Community Detection via Constraint Matrix Construction and Active Node Selection
inferredcites →https://doi.org/10.1109/access.2020.2974752openalex-snapshot
Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2020.2989689openalex-snapshot
Analysis of Malware Communities Using Multi-Modal Features
inferredcites →https://doi.org/10.1109/access.2020.2995887openalex-snapshot
Dynamic Analysis for IoT Malware Detection With Convolution Neural Network Model
inferredcites →https://doi.org/10.1109/access.2020.3006143openalex-snapshot
A Review of Android Malware Detection Approaches Based on Machine Learning
inferredcites →https://doi.org/10.1109/access.2020.3048319openalex-snapshot
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection
inferredcites →https://doi.org/10.1109/hpec.2017.8091047openalex-snapshot
Scalable static and dynamic community detection using Grappolo
inferredcites →https://doi.org/10.1109/icaccs51430.2021.9441712openalex-snapshot
A Survey On Detecting Android Malware Using Machine Learning Technique
inferredcites →https://doi.org/10.1109/icdmw.2013.138openalex-snapshot
Scalable Flow-Based Community Detection for Large-Scale Network Analysis
inferredcites →https://doi.org/10.1109/icmla.2013.105openalex-snapshot
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications
inferredcites →https://doi.org/10.1109/icse.2019.00085openalex-snapshot
Graph Embedding Based Familial Analysis of Android Malware using Unsupervised Learning
inferredcites →https://doi.org/10.1109/isdfs.2016.7473512openalex-snapshot
Android malware analysis approach based on control flow graphs and machine learning algorithms
inferredcites →https://doi.org/10.1109/isgtlatinamerica52371.2021.9543031openalex-snapshot
Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
inferredcites →https://doi.org/10.1109/iss1.2017.8389304openalex-snapshot
Survey on efficient community detection in social networks
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.2015.7413680openalex-snapshot
Deep neural network based malware detection using two dimensional binary program features
inferredcites →https://doi.org/10.1109/pdcat46702.2019.00102openalex-snapshot
Overlapping Community Detection of Complex Network: A Survey
inferredcites →https://doi.org/10.1109/pdgc50313.2020.9315764openalex-snapshot
Malware Detection Techniques: A Survey
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/tcbb.2021.3138142openalex-snapshot
Community Detection in Protein-Protein Interaction Networks and Applications
inferredcites →https://doi.org/10.1109/tcns.2016.2532804openalex-snapshot
Botnet Detection Based on Anomaly and Community Detection
inferredcites →https://doi.org/10.1109/tcss.2023.3282572openalex-snapshot
Detection and Analysis of Fake News Users’ Communities in Social Media
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/tkde.2021.3104155openalex-snapshot
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
inferredcites →https://doi.org/10.1109/tnnls.2021.3137396openalex-snapshot
A Comprehensive Survey on Community Detection With Deep Learning
inferredcites →https://doi.org/10.1140/epjb/e2008-00425-1openalex-snapshot
Modularity-maximizing graph communities via mathematical programming
inferredcites →https://doi.org/10.1145/3172867openalex-snapshot
Community Discovery in Dynamic Networks
inferredcites →https://doi.org/10.1145/3377170.3377243openalex-snapshot
Semi-supervised Community Detection
inferredcites →https://doi.org/10.1145/3417978openalex-snapshot
A Survey of Android Malware Detection with Deep Neural Models
inferredcites →https://doi.org/10.1145/3433174.3433609openalex-snapshot
A Survey on Malware Detection with Deep Learning
inferredcites →https://doi.org/10.1145/3444688openalex-snapshot
Community Detection in Multiplex Networks
inferredcites →https://doi.org/10.1145/3460319.3464833openalex-snapshot
HomDroid: detecting Android covert malware by social-network homophily analysis
inferredcites →https://doi.org/10.1155/2021/8896013openalex-snapshot
A Survey of Android Malware Static Detection Technology Based on Machine Learning
inferredcites →https://doi.org/10.1186/s40537-020-00398-3openalex-snapshot
A novel community detection based genetic algorithm for feature selection
inferredcites →https://doi.org/10.14428/esann/2021.es2021-27openalex-snapshot
Validating static call graph-based malware signatures using community detection methods
inferredcites →https://doi.org/10.14722/ndss.2014.23039openalex-snapshot
A Machine-learning Approach for Classifying and Categorizing Android Sources and Sinks
inferredcites →https://doi.org/10.1587/transinf.2019ini0003openalex-snapshot
A Survey on Mobile Malware Detection Techniques
inferredcites →https://doi.org/10.17577/ijertv9is040774openalex-snapshot
A Survey on Permission based Malware Detection in Android Applications
inferredcites →https://doi.org/10.3390/app12178482openalex-snapshot
Malware Detection Issues, Challenges, and Future Directions: A Survey
inferredcites →https://doi.org/10.3390/electronics9060942openalex-snapshot
Android Malware Family Classification and Analysis: Current Status and Future Directions
inferredcites →https://doi.org/10.3390/modelling1010001openalex-snapshot
Time Series Clustering: A Complex Network-Based Approach for Feature Selection in Multi-Sensor Data
inferredcites →https://doi.org/10.4018/jgim.2018070105openalex-snapshot
Community Based Feature Selection Method for Detection of Android Malware
inferredcites →https://doi.org/10.48550/arxiv.1709.04186openalex-snapshot
On labeling Android malware signatures using minhashing and further classification with Structural Equation Models
inferredcites →https://doi.org/10.48550/arxiv.1902.01629openalex-snapshot
Literature Survey on Finding Influential Communities in Large Scale Networks
inferredcites →https://doi.org/10.48550/arxiv.2006.09271openalex-snapshot
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
inferredcites →https://doi.org/10.48550/arxiv.2103.15698openalex-snapshot
A Systematic Survey on Multi-relational Community Detection
inferredcites →https://doi.org/10.5121/ijnsa.2020.12203openalex-snapshot
A Survey on Malware Detection and Analysis Tools
inferredcites →https://doi.org/10.9734/ajrcos/2021/v7i430189openalex-snapshot
Efficiency of Malware Detection in Android System: A Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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BRAID: Uncovering Malware Family Relationships in Data-Scarce Settings
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Community Detection in Social Networks
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Efficient Deep Learning Method for Detection of Malware Attacks in Internet of Things Networks
inferred← citeshttps://doi.org/10.1007/s10489-026-07182-5openalex-snapshot
A timeslot-based method for learner profiling
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A Federated Learning and GAN-Based Stealthy Malware Detection Scheme for IIoT Security
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REcover: towards recovering object files from stripped binary executables
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Exploring the Landscape of IoT Ransomware Prediction Through Machine Learning Techniques: A Comprehensive Survey
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Community detection in multi-layer networks by regularized debiased spectral clustering
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FCG-MFD: Benchmark function call graph-based dataset for malware family detection
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CLMDA:Cross language vulnerability detection based on multimodal learning and domain adaptation
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E-Commerce Offender Script Analysis: A Novel Approach to Profile Cyber Offenders in E-Commerce
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Software installation threat detection based on attention mechanism and improved convolutional neural network in IOT platform
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A Novel Dynamic Community Detection Model in Social Networks
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AI-Powered Malware Analysis in Mobile Operating Systems: A Comparative Study of Machine Learning and Deep Learning Approaches
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Zero-Click Exploits and Malware: An In-Depth Analysis and Case Studies
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Prompt Engineering-Assisted Malware Dynamic Analysis Using GPT-4
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Multi-View Few-Shot Malware Classification With Support-Query Prototypes
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CoDÆN: Benchmarks and Comparison of Evolutionary Community Detection Algorithms for Dynamic Networks
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A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique
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Using ASCON-Based Fuzzy Hashing for Efficient Malware Analysis
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Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox
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Formation of a feature space for the anomaly detection problems in the behavior of objects with the use of data streams
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Privacy Preservation in IoT Devices by Detecting Obfuscated Malware Using Wide Residual Network
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Deep learning-powered malware detection in cyberspace: a contemporary review
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An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion
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