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Detection of Repackaged Android Malware with Code-Heterogeneity Features

https://doi.org/10.1109/tdsc.2017.2745575

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-03783-7_10openalex-snapshot

Efficient Code Obfuscation for Android

inferredcites →https://doi.org/10.1007/978-3-319-04283-1_6openalex-snapshot

DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android

inferredcites →https://doi.org/10.1007/978-3-319-11203-9_10openalex-snapshot

DroidMiner: Automated Mining and Characterization of Fine-grained Malicious Behaviors in Android Applications

inferredcites →https://doi.org/10.1007/978-3-319-13257-0_19openalex-snapshot

Comprehensive Behavior Profiling for Proactive Android Malware Detection

inferredcites →https://doi.org/10.1007/978-3-319-24177-7_15openalex-snapshot

DexHunter: Toward Extracting Hidden Code from Packed Android Applications

inferredcites →https://doi.org/10.1007/978-3-319-26362-5_17openalex-snapshot

AppSpear: Bytecode Decrypting and DEX Reassembling for Packed Android Malware

inferredcites →https://doi.org/10.1007/978-3-642-28166-2_11openalex-snapshot

Plagiarizing Smartphone Applications: Attack Strategies and Defense Techniques

inferredcites →https://doi.org/10.1007/978-3-642-30921-2_17openalex-snapshot

AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale

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/10.1007/978-3-642-40203-6_11openalex-snapshot

AnDarwin: Scalable Detection of Semantically Similar Android Applications

inferredcites →https://doi.org/10.1007/978-3-642-55415-5_12openalex-snapshot

Detecting Code Reuse in Android Applications Using Component-Based Control Flow Graph

inferredcites →https://doi.org/10.1016/j.cose.2014.11.001openalex-snapshot

Profiling user-trigger dependence for Android malware detection

inferredcites →https://doi.org/10.1016/j.cose.2016.01.002openalex-snapshot

Causality reasoning about network events for detecting stealthy malware activities

inferredcites →https://doi.org/10.1109/csf.2015.37openalex-snapshot

Probabilistic Program Modeling for High-Precision Anomaly Classification

inferredcites →https://doi.org/10.1109/dsn.2016.49openalex-snapshot

A Sharper Sense of Self: Probabilistic Reasoning of Program Behaviors for Anomaly Detection with Context Sensitivity

inferredcites →https://doi.org/10.1109/icccn.2014.6911805openalex-snapshot

MIGDroid: Detecting APP-Repackaging Android malware via method invocation graph

inferredcites →https://doi.org/10.1109/icmla.2014.10openalex-snapshot

High Precision Screening for Android Malware with Dimensionality Reduction

inferredcites →https://doi.org/10.1109/icse.2015.50openalex-snapshot

AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context

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

Dissecting Android Malware: Characterization and Evolution

inferredcites →https://doi.org/10.1109/spw.2016.33openalex-snapshot

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

inferredcites →https://doi.org/10.1109/spw.2017.12openalex-snapshot

MR-Droid: A Scalable and Prioritized Analysis of Inter-App Communication Risks

inferredcites →https://doi.org/10.1145/1999995.2000018openalex-snapshot

Analyzing inter-application communication in Android

inferredcites →https://doi.org/10.1145/2046614.2046619openalex-snapshot

Crowdroid

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

Detecting repackaged smartphone applications in third-party android marketplaces

inferredcites →https://doi.org/10.1145/2382196.2382222openalex-snapshot

PScout

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/10.1145/2435349.2435377openalex-snapshot

Fast, scalable detection of "Piggybacked" mobile applications

inferredcites →https://doi.org/10.1145/2462456.2464462openalex-snapshot

RetroSkeleton

inferredcites →https://doi.org/10.1145/2480362.2480706openalex-snapshot

Slicing droids

inferredcites →https://doi.org/10.1145/2517312.2517315openalex-snapshot

Structural detection of android malware using embedded call graphs

inferredcites →https://doi.org/10.1145/2556464.2556467openalex-snapshot

DroidLegacy

inferredcites →https://doi.org/10.1145/2594291.2594299openalex-snapshot

FlowDroid

inferredcites →https://doi.org/10.1145/2627393.2627395openalex-snapshot

ViewDroid

inferredcites →https://doi.org/10.1145/2627393.2627396openalex-snapshot

NativeGuard

inferredcites →https://doi.org/10.1145/2664243.2664275openalex-snapshot

Towards a scalable resource-driven approach for detecting repackaged Android applications

inferredcites →https://doi.org/10.1145/2666356.2594299openalex-snapshot

FlowDroid

inferredcites →https://doi.org/10.1145/2931037.2931044openalex-snapshot

DroidRA: taming reflection to support whole-program analysis of Android apps

inferredcites →https://doi.org/10.1145/3052973.3053004openalex-snapshot

Collusive Data Leak and More

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/10.14722/ndss.2015.23140openalex-snapshot

EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework

inferredcites →https://doi.org/10.14722/ndss.2015.23145openalex-snapshot

CopperDroid: Automatic Reconstruction of Android Malware Behaviors

inferredcites →https://doi.org/10.14722/ndss.2015.23287openalex-snapshot

Checking More and Alerting Less: Detecting Privacy Leakages via Enhanced Data-flow Analysis and Peer Voting

What points at this work

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

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Malware Detection in Android Mobile Devices by Applying Swarm Intelligence Optimization and Machine Learning for API Calls

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Background and Related Work

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Android Malware Detection Using Deep Learning

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Static Detection of Compromised Java Components by Topological Anomalies

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A Systematic Literature Review on the Mobile Malware Detection Methods

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Review on Android Malware Detection System

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Introduction of Android Malware Detection

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Deep learning for effective Android malware detection using API call graph embeddings

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DroidHook: a novel API-hook based Android malware dynamic analysis sandbox

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Circumventing Google Play vetting policies: a stealthy cyberattack that uses incremental updates to breach privacy

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metaNet: Interpretable unknown mobile malware identification with a novel meta-features mining algorithm

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Software systems at risk: An empirical study of cloned vulnerabilities in practice

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A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding

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HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics

inferred← citeshttps://doi.org/10.1016/j.cose.2020.101932openalex-snapshot

Scalable and robust unsupervised Android malware fingerprinting using community-based network partitioning

inferred← citeshttps://doi.org/10.1016/j.cose.2020.101965openalex-snapshot

Scalable and robust unsupervised android malware fingerprinting using community-based network partitioning

inferred← citeshttps://doi.org/10.1016/j.cose.2021.102216openalex-snapshot

Structural features with nonnegative matrix factorization for metamorphic malware detection

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Optimal feature configuration for dynamic malware detection

inferred← citeshttps://doi.org/10.1016/j.cose.2022.102762openalex-snapshot

Adversarial malware sample generation method based on the prototype of deep learning detector

inferred← citeshttps://doi.org/10.1016/j.csa.2026.100124openalex-snapshot

Android app repackaging detection: A comprehensive survey

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118724openalex-snapshot

An effectiveness analysis of transfer learning for the concept drift problem in malware detection

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A hybrid approach for Android malware detection using improved multi-scale convolutional neural networks and residual networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127888openalex-snapshot

Comprehensive benchmarking of knowledge graph embeddings methods for Android malware detection

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cRGB_Mem: At the intersection of memory forensics and machine learning

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Android malware obfuscation variants detection method based on multi-granularity opcode features

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Multi-view deep learning for zero-day Android malware detection

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Detection of Evasive Android Malware Using EigenGCN

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γ-M2I: Image-based malware classification via feature spatial transformation

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A novel pattern recognition system for detecting Android malware by analyzing suspicious boot sequences

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Learning to detect Android malware via opcode sequences

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SemDroid: Obfuscated Android Malware Detection and Classification Using Semantic Feature Analysis

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Review of malware detection methods in android

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Machine Learning-Based Malicious Application Detection of Android

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Dalvik Opcode Graph Based Android Malware Variants Detection Using Global Topology Features

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A Review of Android Malware Detection Approaches Based on Machine Learning

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Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection

inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00078openalex-snapshot

Chain of Command: Context-Aware Android Malware Detection via Permission-to-API Call Chains and Graph Representation Learning

inferred← citeshttps://doi.org/10.1109/c3it60531.2024.10829448openalex-snapshot

Role of Smali Opcodes in Identifying Android Malware Obfuscation Variants

inferred← citeshttps://doi.org/10.1109/cbd.2018.00071openalex-snapshot

Detecting Repackaged Android Malware Based on Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/controlo.2018.8439807openalex-snapshot

An Active Android Application Repacking Detection Approach

inferred← citeshttps://doi.org/10.1109/cscloud-edgecom52276.2021.00021openalex-snapshot

A Malicious Android Malware Detection System based on Implicit Relationship Mining

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Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications

inferred← citeshttps://doi.org/10.1109/icecaa55415.2022.9936326openalex-snapshot

Statistical Analysis of Big Data Models in Android Malware Detection

inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00076openalex-snapshot

MalLoc: Toward Fine-Grained Android Malicious Payload Localization via LLMs

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228094openalex-snapshot

GMCWare: A Greedy Modularity Community-based Simplification Algorithm for Malware Detection

inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00058openalex-snapshot

A-Guard: Extending Android Verified Boot to Enforce Application Integrity Against Repackaging Attacks

inferred← citeshttps://doi.org/10.1109/iss1.2017.8389286openalex-snapshot

Dynamic malware analysis using machine learning algorithm

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A Comparative Study of Android Repackaged Apps Detection Techniques

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Resilient User-Side Android Application Repackaging and Tampering Detection Using Cryptographically Obfuscated Logic Bombs

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