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Structural detection of android malware using embedded call graphs

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What this work says

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

inferredcites →https://doi.org/10.1007/11663812_11openalex-snapshot

Polymorphic Worm Detection Using Structural Information of Executables

inferredcites →https://doi.org/10.1007/978-3-642-33167-1_3openalex-snapshot

Attack of the Clones: Detecting Cloned Applications on Android Markets

inferredcites →https://doi.org/10.1007/978-3-642-37300-8_4openalex-snapshot

Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications

inferredcites →https://doi.org/10.1007/978-3-642-37682-5_8openalex-snapshot

iBinHunt: Binary Hunting with Inter-procedural Control Flow

inferredcites →https://doi.org/10.1007/s11416-011-0151-yopenalex-snapshot

Malware classification based on call graph clustering

inferredcites →https://doi.org/10.1007/s11416-011-0152-xopenalex-snapshot

Graph-based malware detection using dynamic analysis

inferredcites →https://doi.org/10.1016/j.neunet.2005.07.009openalex-snapshot

Graph kernels for chemical informatics

inferredcites →https://doi.org/10.1093/bioinformatics/bti1007openalex-snapshot

Protein function prediction via graph kernels

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/icdm.2009.30openalex-snapshot

A Linear-Time Graph Kernel

inferredcites →https://doi.org/10.1109/icip.2003.1247294openalex-snapshot

Histogram intersection kernel for image classification

inferredcites →https://doi.org/10.1109/malware.2009.5403018openalex-snapshot

Malware analysis with graph kernels and support vector machines

inferredcites →https://doi.org/10.1109/malware.2010.5665787openalex-snapshot

Detecting malware variants via function-call graph similarity

inferredcites →https://doi.org/10.1109/sp.2012.16openalex-snapshot

Dissecting Android Malware: Characterization and Evolution

inferredcites →https://doi.org/10.1109/trustcom.2011.26openalex-snapshot

Malware Variant Detection Using Similarity Search over Sets of Control Flow Graphs

inferredcites →https://doi.org/10.1145/1150402.1150522openalex-snapshot

GPLAG

inferredcites →https://doi.org/10.1145/1653662.1653691openalex-snapshot

On lightweight mobile phone application certification

inferredcites →https://doi.org/10.1145/1653662.1653736openalex-snapshot

Large-scale malware indexing using function-call graphs

inferredcites →https://doi.org/10.1145/1920261.1920313openalex-snapshot

Paranoid Android

inferredcites →https://doi.org/10.1145/2046614.2046618openalex-snapshot

A survey of mobile malware in the wild

inferredcites →https://doi.org/10.1145/2046707.2046779openalex-snapshot

Android permissions demystified

inferredcites →https://doi.org/10.1145/2133601.2133640openalex-snapshot

Detecting repackaged smartphone applications in third-party android marketplaces

inferredcites →https://doi.org/10.1145/2295136.2295141openalex-snapshot

Android permissions

inferredcites →https://doi.org/10.1145/2307636.2307663openalex-snapshot

RiskRanker

inferredcites →https://doi.org/10.1145/2382196.2382223openalex-snapshot

CHEX

inferredcites →https://doi.org/10.1145/2382196.2382224openalex-snapshot

Using probabilistic generative models for ranking risks of Android apps

inferredcites →https://doi.org/10.1145/2420950.2421003openalex-snapshot

Generalized vulnerability extrapolation using abstract syntax trees

inferredcites →https://doi.org/10.1145/2435349.2435379openalex-snapshot

AppsPlayground

inferredcites →https://doi.org/10.1145/2484313.2484317openalex-snapshot

On the effectiveness of API-level access control using bytecode rewriting in Android

inferredcites →https://doi.org/10.5555/1924943.1924971openalex-snapshot

TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones

What points at this work

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

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Smart malware detection on Android

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NeSeDroid—Android Malware Detection Based on Network Traffic and Sensitive Resource Accessing

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Android Mobile Malware Classification Using a Tokenization Approach

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Research on Automated Penetration Testing Framework for Power Web System Integrating Property Information and Expert Experience

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Hybrid Framework for Android Malware Detection

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Adware Attack Detection on IoT Devices Using Deep Logistic Regression SVM (DL-SVM-IoT)

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inferred← citeshttps://doi.org/10.1016/j.cose.2015.02.003openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.diin.2015.02.001openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.future.2017.04.041openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.future.2021.10.029openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.inffus.2018.12.006openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.microrel.2019.01.007openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/15536548.2015.1073510openalex-snapshot

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inferred← citeshttps://doi.org/10.1088/1742-6596/664/6/062017openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2018.2835654openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cns.2016.7860468openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icdm.2018.00051openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icitcs.2015.7293036openalex-snapshot

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Graph Embedding Based Familial Analysis of Android Malware using Unsupervised Learning

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Android Malware Detection Model using the Adaptive Swarm Optimization-based Neural Network

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Adaptive and scalable Android malware detection through online learning

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Contextual Weisfeiler-Lehman graph kernel for malware detection

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191920openalex-snapshot

Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892931openalex-snapshot

Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition

inferred← citeshttps://doi.org/10.1109/imccc.2015.115openalex-snapshot

Software Structure Analysis Using Network Theory

inferred← citeshttps://doi.org/10.1109/infocom.2018.8486327openalex-snapshot

AppDNA: App Behavior Profiling via Graph-based Deep Learning

inferred← citeshttps://doi.org/10.1109/isco.2016.7726949openalex-snapshot

Machine learning based malware classification for Android applications using multimodal image representations

inferred← citeshttps://doi.org/10.1109/isdfs52919.2021.9486386openalex-snapshot

Graph-Based Malware Detection Using Opcode Sequences

inferred← citeshttps://doi.org/10.1109/issre.2016.14openalex-snapshot

Frequent Subgraph Based Familial Classification of Android Malware

inferred← citeshttps://doi.org/10.1109/jiot.2019.2925929openalex-snapshot

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

inferred← citeshttps://doi.org/10.1109/malware.2015.7413684openalex-snapshot

Automatically combining static malware detection techniques

inferred← citeshttps://doi.org/10.1109/msr.2017.57openalex-snapshot

Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware

inferred← citeshttps://doi.org/10.1109/nsyss.2017.7885802openalex-snapshot

Vulnerability detection in recent Android apps: An empirical study

inferred← citeshttps://doi.org/10.1109/ntms.2016.7792435openalex-snapshot

ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications

inferred← citeshttps://doi.org/10.1109/pccc.2015.7410335openalex-snapshot

Exploring sensor usage behaviors of Android applications based on data flow analysis

inferred← citeshttps://doi.org/10.1109/pdp.2017.41openalex-snapshot

Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection

inferred← citeshttps://doi.org/10.1109/pst.2017.00036openalex-snapshot

Automated Static Analysis and Classification of Android Malware using Permission and API Calls Models

inferred← citeshttps://doi.org/10.1109/qrs.2015.36openalex-snapshot

Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection

inferred← citeshttps://doi.org/10.1109/qrs.2017.27openalex-snapshot

HyDroid: A Hybrid Approach for Generating API Call Traces from Obfuscated Android Applications for Mobile Security

inferred← citeshttps://doi.org/10.1109/rivf60135.2023.10471834openalex-snapshot

Detecting Software Vulnerabilities Based on Source Code Analysis using GCN Transformer

inferred← citeshttps://doi.org/10.1109/saner64311.2025.00074openalex-snapshot

Dissecting APKs from Google Play: Trends, Insights and Security Implications

inferred← citeshttps://doi.org/10.1109/sds57534.2023.00012openalex-snapshot

A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution

inferred← citeshttps://doi.org/10.1109/sp.2014.44openalex-snapshot

Modeling and Discovering Vulnerabilities with Code Property Graphs

inferred← citeshttps://doi.org/10.1109/sp.2015.54openalex-snapshot

Automatic Inference of Search Patterns for Taint-Style Vulnerabilities

inferred← citeshttps://doi.org/10.1109/sp40000.2020.00072openalex-snapshot

Automatic Uncovering of Hidden Behaviors From Input Validation in Mobile Apps

inferred← citeshttps://doi.org/10.1109/spw.2016.33openalex-snapshot

Analysis of Code Heterogeneity for High-Precision Classification of Repackaged Malware

inferred← citeshttps://doi.org/10.1109/tase.2018.00015openalex-snapshot

RepassDroid: Automatic Detection of Android Malware Based on Essential Permissions and Semantic Features of Sensitive APIs

inferred← citeshttps://doi.org/10.1109/tdsc.2016.2536605openalex-snapshot

MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

inferred← citeshttps://doi.org/10.1109/tdsc.2017.2745575openalex-snapshot

Detection of Repackaged Android Malware with Code-Heterogeneity Features

inferred← citeshttps://doi.org/10.1109/tdsc.2022.3168285openalex-snapshot

MsDroid: Identifying Malicious Snippets for Android Malware Detection

inferred← citeshttps://doi.org/10.1109/tetc.2020.3026335openalex-snapshot

AppDNA: Profiling App Behavior via Deep-Learning Function Call Graphs

inferred← citeshttps://doi.org/10.1109/tetci.2017.2699220openalex-snapshot

Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning

inferred← citeshttps://doi.org/10.1109/tetci.2023.3281833openalex-snapshot

Android Malware Detection Methods Based on Convolutional Neural Network: A Survey

inferred← citeshttps://doi.org/10.1109/tifs.2015.2491300openalex-snapshot

Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware

inferred← citeshttps://doi.org/10.1109/tifs.2017.2687880openalex-snapshot

DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis

inferred← citeshttps://doi.org/10.1109/tifs.2018.2806891openalex-snapshot

Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis

inferred← citeshttps://doi.org/10.1109/tifs.2018.2879302openalex-snapshot

DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

inferred← citeshttps://doi.org/10.1109/tifs.2019.2932228openalex-snapshot

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

inferred← citeshttps://doi.org/10.1109/tifs.2020.2980190openalex-snapshot

CPA: Accurate Cross-Platform Binary Authorship Characterization Using LDA

inferred← citeshttps://doi.org/10.1109/tifs.2023.3283913openalex-snapshot

Guided Malware Sample Analysis Based on Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/tifs.2023.3302509openalex-snapshot

Obfuscation-Resilient Android Malware Analysis Based on Complementary Features

inferred← citeshttps://doi.org/10.1109/tkde.2017.2756836openalex-snapshot

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs

inferred← citeshttps://doi.org/10.1109/tmc.2018.2880731openalex-snapshot

Android Malware Detection via Graphlet Sampling

inferred← citeshttps://doi.org/10.1109/tnse.2020.3024557openalex-snapshot

Spectral-Based Directed Graph Network for Malware Detection

inferred← citeshttps://doi.org/10.1109/tr.2019.2926129openalex-snapshot

CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis

inferred← citeshttps://doi.org/10.1109/tr.2019.2927285openalex-snapshot

LSCDroid: Malware Detection Based on Local Sensitive API Invocation Sequences

inferred← citeshttps://doi.org/10.1109/tr.2023.3304389openalex-snapshot

An Empirical Study on Android Malware Characterization by Social Network Analysis

inferred← citeshttps://doi.org/10.1109/trustcom.2016.0283openalex-snapshot

On Probabilistic Application Compliance

inferred← citeshttps://doi.org/10.1109/trustcom53373.2021.00115openalex-snapshot

DroidRadar: Android Malware Detection Based on Global Sensitive Graph Embedding

inferred← citeshttps://doi.org/10.1109/tse.2016.2615307openalex-snapshot

A Taxonomy and Qualitative Comparison of Program Analysis Techniques for Security Assessment of Android Software

inferred← citeshttps://doi.org/10.1109/tse.2025.3618113openalex-snapshot

Aging-Related Bug Prediction Based on Multi-View Graph Feature Learning and Graph-Transformer

inferred← citeshttps://doi.org/10.1109/vcris68011.2025.11250524openalex-snapshot

Android Malware Classification Based on Graph Features and Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/wconf64849.2025.11233570openalex-snapshot

Android Malware Detection Framework Using Attention-Based Deep Learning

inferred← citeshttps://doi.org/10.1109/wiw.2016.040openalex-snapshot

Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs

inferred← citeshttps://doi.org/10.1145/2635868.2635869openalex-snapshot

Apposcopy: semantics-based detection of Android malware through static analysis

inferred← citeshttps://doi.org/10.1145/2660267.2660359openalex-snapshot

Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs

inferred← citeshttps://doi.org/10.1145/2699026.2699105openalex-snapshot

StaDynA

inferred← citeshttps://doi.org/10.1145/2808117.2808123openalex-snapshot

Understanding the Service Life Cycle of Android Apps

inferred← citeshttps://doi.org/10.1145/2808769.2808780openalex-snapshot

Better Malware Ground Truth

inferred← citeshttps://doi.org/10.1145/2875475.2875487openalex-snapshot

Evaluation of Android Malware Detection Based on System Calls

inferred← citeshttps://doi.org/10.1145/2897845.2897856openalex-snapshot

Mystique

inferred← citeshttps://doi.org/10.1145/2897845.2897860openalex-snapshot

StormDroid

inferred← citeshttps://doi.org/10.1145/2905760.2905763openalex-snapshot

A text-mining approach to explain unwanted behaviours

inferred← citeshttps://doi.org/10.1145/2939918.2939931openalex-snapshot

More Semantics More Robust

inferred← citeshttps://doi.org/10.1145/2991079.2991124openalex-snapshot

Cypider

inferred← citeshttps://doi.org/10.1145/2996758.2996760openalex-snapshot

Causality-based Sensemaking of Network Traffic for Android Application Security

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