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A Data-driven Characterization of Modern Android Spyware
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-2053-8openalex-snapshot
A Survey of Data Leakage Detection and Prevention Solutions
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/10.1007/978-3-319-08509-8_4openalex-snapshot
AndRadar: Fast Discovery of Android Applications in Alternative Markets
inferredcites →https://doi.org/10.1007/978-3-319-26362-5_18openalex-snapshot
HelDroid: Dissecting and Detecting Mobile Ransomware
inferredcites →https://doi.org/10.1007/978-3-319-40667-1_7openalex-snapshot
Reviewer Integration and Performance Measurement for Malware Detection
inferredcites →https://doi.org/10.1007/978-3-540-70542-0_6openalex-snapshot
Learning and Classification of Malware Behavior
inferredcites →https://doi.org/10.1007/978-3-642-18178-8_30openalex-snapshot
Privilege Escalation Attacks on Android
inferredcites →https://doi.org/10.1016/j.comnet.2016.05.018openalex-snapshot
Analysis of high volumes of network traffic for Advanced Persistent Threat detection
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.02.013openalex-snapshot
Machine learning aided Android malware classification
inferredcites →https://doi.org/10.1016/j.cose.2009.12.002openalex-snapshot
Roving bugnet: Distributed surveillance threat and mitigation
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/10.1016/j.cose.2017.06.001openalex-snapshot
DroidInjector: A process injection-based dynamic tracking system for runtime behaviors of Android applications
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/s0167-4048(03)00501-7openalex-snapshot
Pandora’s Box: spyware, adware, autoexecution, and NGSCB
inferredcites →https://doi.org/10.1109/access.2018.2884964openalex-snapshot
Detection and Elimination of Spyware and Ransomware by Intercepting Kernel-Level System Routines
inferredcites →https://doi.org/10.1109/acsac.2007.15openalex-snapshot
OmniUnpack: Fast, Generic, and Safe Unpacking of Malware
inferredcites →https://doi.org/10.1109/badgers.2014.7openalex-snapshot
ANDRUBIS -- 1,000,000 Apps Later: A View on Current Android Malware Behaviors
inferredcites →https://doi.org/10.1109/cec.2006.1688720openalex-snapshot
A Surveillance Spyware Detection System Based on Data Mining Methods
inferredcites →https://doi.org/10.1109/compsac.2015.103openalex-snapshot
MARVIN: Efficient and Comprehensive Mobile App Classification through Static and Dynamic Analysis
inferredcites →https://doi.org/10.1109/cycon.2016.7529438openalex-snapshot
Countering Advanced Persistent Threats through security intelligence and big data analytics
inferredcites →https://doi.org/10.1109/malware.2015.7413693openalex-snapshot
Clustering android malware families by http traffic
inferredcites →https://doi.org/10.1109/secpri.2002.1004357openalex-snapshot
Proceedings 2002 IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/sp.2012.16openalex-snapshot
Dissecting Android Malware: Characterization and Evolution
inferredcites →https://doi.org/10.1109/sp.2015.60openalex-snapshot
Effective Real-Time Android Application Auditing
inferredcites →https://doi.org/10.1109/sp.2018.00061openalex-snapshot
The Spyware Used in Intimate Partner Violence
inferredcites →https://doi.org/10.1109/spw.2016.25openalex-snapshot
DroidScribe: Classifying Android Malware Based on Runtime Behavior
inferredcites →https://doi.org/10.1109/tcss.2018.2869171openalex-snapshot
${\mathit{MALT^P}}$ : Parallel Prediction of Malicious Tweets
inferredcites →https://doi.org/10.1109/tdsc.2017.2739145openalex-snapshot
EC2: Ensemble Clustering and Classification for Predicting Android Malware Families
inferredcites →https://doi.org/10.1109/tifs.2017.2710945openalex-snapshot
A Probabilistic Logic of Cyber Deception
inferredcites →https://doi.org/10.1109/tkde.2014.2320725openalex-snapshot
Malware Propagation in Large-Scale Networks
inferredcites →https://doi.org/10.1145/1852666.1852716openalex-snapshot
Fast malware classification by automated behavioral graph matching
inferredcites →https://doi.org/10.1145/2185448.2185464openalex-snapshot
Unsafe exposure analysis of mobile in-app advertisements
inferredcites →https://doi.org/10.1145/2660267.2660359openalex-snapshot
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs
inferredcites →https://doi.org/10.1145/2666652.2666666openalex-snapshot
Poisoning behavioral malware clustering
inferredcites →https://doi.org/10.1145/2817946.2817947openalex-snapshot
Identifying Personal Information in Internet Traffic
inferredcites →https://doi.org/10.1145/2835776.2835834openalex-snapshot
Ensemble Models for Data-driven Prediction of Malware Infections
inferredcites →https://doi.org/10.1145/2875475.2875487openalex-snapshot
Evaluation of Android Malware Detection Based on System Calls
inferredcites →https://doi.org/10.1145/2884781.2884855openalex-snapshot
Toward a framework for detecting privacy policy violations in android application code
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2996758.2996760openalex-snapshot
Causality-based Sensemaking of Network Traffic for Android Application Security
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.2015.23089openalex-snapshot
Information-Flow Analysis of Android Applications in DroidSafe
inferredcites →https://doi.org/10.14722/ndss.2017.23034openalex-snapshot
Automated Analysis of Privacy Requirements for Mobile Apps
inferredcites →https://doi.org/10.14722/ndss.2017.23265openalex-snapshot
Dark Hazard: Learning-based, Large-Scale Discovery of Hidden Sensitive Operations in Android Apps
inferredcites →https://doi.org/10.14722/ndss.2017.23465openalex-snapshot
Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis
inferredcites →https://doi.org/10.1515/popets-2018-0021openalex-snapshot
“Won’t Somebody Think of the Children?” Examining COPPA Compliance at Scale
inferredcites →https://doi.org/10.22219/kinetik.v3i1.265openalex-snapshot
Analysis of Uapush Malware Infection using Static and Behavior Method on Android
inferredcites →https://doi.org/10.48550/arxiv.1312.3245openalex-snapshot
The Company You Keep: Mobile Malware Infection Rates and Inexpensive Risk Indicators
inferredcites →https://doi.org/10.48550/arxiv.1402.4826openalex-snapshot
PuppetDroid: A User-Centric UI Exerciser for Automatic Dynamic Analysis of Similar Android Applications
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.
inferred← citeshttps://doi.org/10.1007/978-3-031-33743-7_25openalex-snapshot
Detecting Spyware in Android Devices Using Random Forest
inferred← citeshttps://doi.org/10.1007/978-3-031-60935-0_52openalex-snapshot
Spyware Alert System and Image Steganography for Military Application
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112179openalex-snapshot
A systematic literature survey of machine learning approaches to cyber data breach detection: Current research issues and future directions
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.2021.100372openalex-snapshot
Comparative analysis of Android and iOS from security viewpoint
inferred← citeshttps://doi.org/10.1109/access.2023.3296606openalex-snapshot
A Lightweight and Multi-Stage Approach for Android Malware Detection Using Non-Invasive Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/access.2024.3485593openalex-snapshot
DeepImageDroid: A Hybrid Framework Leveraging Visual Transformers and Convolutional Neural Networks for Robust Android Malware Detection
inferred← citeshttps://doi.org/10.1109/access.2024.3508025openalex-snapshot
Leveraging Social Networks for Cyber Threat Intelligence: Analyzing Attack Trends and TTPs in the Arab World
inferred← citeshttps://doi.org/10.1109/apwimob64015.2024.10792965openalex-snapshot
Optimization of Accuracy Using Ensamble Stacking to Detect Android Malware
inferred← citeshttps://doi.org/10.1109/asiancon62057.2024.10837999openalex-snapshot
Optimizing Spyware Detection with Combined Neural Networks and Random Forest Models
inferred← citeshttps://doi.org/10.1109/icic53490.2021.9693035openalex-snapshot
A Systematic Literature Review: Usage of Logistic Regression for Malware Detection
inferred← citeshttps://doi.org/10.1145/3460823openalex-snapshot
Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective
inferred← citeshttps://doi.org/10.1145/3505226openalex-snapshot
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
inferred← citeshttps://doi.org/10.1145/3544968openalex-snapshot
Deep Learning for Android Malware Defenses: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3600160.3605057openalex-snapshot
Graph-Based Android Malware Detection and Categorization through BERT Transformer
inferred← citeshttps://doi.org/10.1145/3626232.3658638openalex-snapshot
A-COPILOT: Android Covert Operation for Private Information Lifting and OTP Theft: A study on how Malware Masquerading as Legitimate Applications compromise Security and Privacy
inferred← citeshttps://doi.org/10.1145/3706599.3720021openalex-snapshot
Securing Gesture Passwords Against Shoulder Surfing Using Behavioral Features
inferred← citeshttps://doi.org/10.1155/2022/8621083openalex-snapshot
A Systematic Overview of the Machine Learning Methods for Mobile Malware Detection
inferred← citeshttps://doi.org/10.13052/rp-9788770040075openalex-snapshot
Revitalizing Social Institutions For Peace, Justice And Environmental Protection, RSIPJEP-20222
inferred← citeshttps://doi.org/10.21015/vtse.v10i2.963openalex-snapshot
Role of Logistic Regression in Malware Detection: A Systematic Literature Review
inferred← citeshttps://doi.org/10.26735/krvi8434openalex-snapshot
Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies
inferred← citeshttps://doi.org/10.31449/inf.v47i8.4881openalex-snapshot
Mobile Spyware Identification and Categorization: A Systematic Review
inferred← citeshttps://doi.org/10.3390/electronics10040485openalex-snapshot
Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection
inferred← citeshttps://doi.org/10.3390/info14020102openalex-snapshot
Spyware Identification for Android Systems Using Fine Trees
inferred← citeshttps://doi.org/10.3390/make8050121openalex-snapshot
A Survey on Self-Supervised Learning in Cybersecurity: Network Intrusion and Malware Detection
inferred← citeshttps://doi.org/10.3390/s22020513openalex-snapshot
Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny
inferred← citeshttps://doi.org/10.3390/s22155765openalex-snapshot
Android Spyware Detection Using Machine Learning: A Novel Dataset
inferred← citeshttps://doi.org/10.3390/technologies11030076openalex-snapshot
Smartphone Security and Privacy: A Survey on APTs, Sensor-Based Attacks, Side-Channel Attacks, Google Play Attacks, and Defenses
inferred← citeshttps://doi.org/10.56553/popets-2023-0013openalex-snapshot
No Privacy Among Spies: Assessing the Functionality and Insecurity of Consumer Android Spyware Apps
inferred← citeshttps://doi.org/10.61799/2216-0388.1740openalex-snapshot
Spyware en Smartphone: Análisis Bibliométrico
inferred← citeshttps://doi.org/10.7717/peerj-cs.3902openalex-snapshot
Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods
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