On the public citation graph
DECAF: detecting and characterizing ad fraud in mobile apps
0 signed · 143 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-10373-5_4openalex-snapshot
Event Listener Analysis and Symbolic Execution for Testing GUI Applications
inferredcites →https://doi.org/10.1007/978-3-642-22424-9_10openalex-snapshot
What’s Clicking What? Techniques and Innovations of Today’s Clickbots
inferredcites →https://doi.org/10.1007/978-3-642-37057-1_19openalex-snapshot
A Grey-Box Approach for Automated GUI-Model Generation of Mobile Applications
inferredcites →https://doi.org/10.1109/icse.2009.5070522openalex-snapshot
Invariant-based automatic testing of AJAX user interfaces
inferredcites →https://doi.org/10.1109/malware.2012.6461010openalex-snapshot
Click-fraud monetizing malware: A survey and case study
inferredcites →https://doi.org/10.1109/sp.2012.24openalex-snapshot
User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems
inferredcites →https://doi.org/10.1145/1764873.1764877openalex-snapshot
Fighting online click-fraud using bluff ads
inferredcites →https://doi.org/10.1145/1982595.1982612openalex-snapshot
Automating GUI testing for Android applications
inferredcites →https://doi.org/10.1145/2046614.2046618openalex-snapshot
A survey of mobile malware in the wild
inferredcites →https://doi.org/10.1145/2109205.2109208openalex-snapshot
Crawling Ajax-Based Web Applications through Dynamic Analysis of User Interface State Changes
inferredcites →https://doi.org/10.1145/2185448.2185464openalex-snapshot
Unsafe exposure analysis of mobile in-app advertisements
inferredcites →https://doi.org/10.1145/2342356.2342394openalex-snapshot
Measuring and fingerprinting click-spam in ad networks
inferredcites →https://doi.org/10.1145/2351676.2351717openalex-snapshot
Using GUI ripping for automated testing of Android applications
inferredcites →https://doi.org/10.1145/2382756.2382798openalex-snapshot
Testing android apps through symbolic execution
inferredcites →https://doi.org/10.1145/2393596.2393666openalex-snapshot
Automated concolic testing of smartphone apps
inferredcites →https://doi.org/10.1145/2491411.2491450openalex-snapshot
Dynodroid: an input generation system for Android apps
inferredcites →https://doi.org/10.1145/2594368.2594377openalex-snapshot
Automatic and scalable fault detection for mobile applications
inferredcites →https://doi.org/10.5555/1855741.1855756openalex-snapshot
KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs
inferredcites →https://doi.org/10.5555/1924943.1924971openalex-snapshot
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
inferredcites →https://doi.org/10.5555/2387880.2387891openalex-snapshot
AppInsight: mobile app performance monitoring in the wild
inferredcites →https://doi.org/10.5555/2663608.2663613openalex-snapshot
A whitebox approach for automated security testing of Android applications on the cloud
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3275958openalex-extracted
Ad Fraud Under the Vertical Contract Structure
inferred← citeshttps://doi.org/10.1002/cpe.4180openalex-snapshot
Towards a multilayered permission‐based access control for extending Android security
inferred← citeshttps://doi.org/10.1007/978-3-030-21990-1_15openalex-snapshot
Detection of Click Spamming in Mobile Advertising
inferred← citeshttps://doi.org/10.1007/978-3-030-34139-8_29openalex-snapshot
Design and Optimization of Camera HAL Layer Based on Android
inferred← citeshttps://doi.org/10.1007/978-3-319-24315-3_11openalex-snapshot
Online Ad-fraud in Search Engine Advertising Campaigns
inferred← citeshttps://doi.org/10.1007/978-3-319-56793-8_6openalex-snapshot
Ad Fraud Detection Tools and Systems
inferred← citeshttps://doi.org/10.1007/978-3-662-54970-4_13openalex-snapshot
CuriousDroid: Automated User Interface Interaction for Android Application Analysis Sandboxes
inferred← citeshttps://doi.org/10.1007/978-3-662-54970-4_3openalex-snapshot
Android UI Deception Revisited: Attacks and Defenses
inferred← citeshttps://doi.org/10.1007/978-981-10-5421-1_10openalex-snapshot
Characterizing Promotional Attacks in Mobile App Store
inferred← citeshttps://doi.org/10.1007/978-981-10-8360-0_23openalex-snapshot
Smart Mobile Bot Detection Through Behavioral Analysis
inferred← citeshttps://doi.org/10.1007/978-981-10-8890-2_12openalex-snapshot
Placement Fraud Detection on Smart Phones: A Joint Crowdsourcing and Data Analyzing Based Approach
inferred← citeshttps://doi.org/10.1007/978-981-15-5856-6_10openalex-snapshot
Novel Hidden Markov Scoring Algorithm for Fraudulent Impression Classification in Mobile Advertising
inferred← citeshttps://doi.org/10.1007/bf03391577openalex-snapshot
Towards privacy-preserving user targeting
inferred← citeshttps://doi.org/10.1007/s10664-019-09760-3openalex-snapshot
Empirical study of android repackaged applications
inferred← citeshttps://doi.org/10.1007/s11276-019-01984-xopenalex-snapshot
A collaborative policy-based security scheme to enforce resource access controlling mechanism
inferred← citeshttps://doi.org/10.1007/s11416-018-0328-8openalex-snapshot
An analysis of Android adware
inferred← citeshttps://doi.org/10.1016/j.comcom.2016.08.002openalex-snapshot
Context-aware services delivery framework for interactive mobile advertisement
inferred← citeshttps://doi.org/10.1016/j.cose.2018.07.024openalex-snapshot
Securing android applications via edge assistant third-party library detection
inferred← citeshttps://doi.org/10.1016/j.ijresmar.2023.09.003openalex-snapshot
Mobile ad fraud: Empirical patterns in publisher and advertising campaign data
inferred← citeshttps://doi.org/10.1016/j.jnca.2018.02.021openalex-snapshot
An ensemble learning based approach for impression fraud detection in mobile advertising
inferred← citeshttps://doi.org/10.1016/j.pmcj.2016.04.013openalex-snapshot
Android fine-grained permission control system with real-time expert recommendations
inferred← citeshttps://doi.org/10.1088/1742-6596/2089/1/012077openalex-snapshot
Click Fraud Detection Approaches to analyze the Ad Clicks Performed by Malicious Code
inferred← citeshttps://doi.org/10.1109/ares.2015.70openalex-snapshot
Towards Black Box Testing of Android Apps
inferred← citeshttps://doi.org/10.1109/ase.2017.8115613openalex-snapshot
Systematically testing background services of mobile apps
inferred← citeshttps://doi.org/10.1109/ase.2019.00017openalex-snapshot
DaPanda: Detecting Aggressive Push Notifications in Android Apps
inferred← citeshttps://doi.org/10.1109/cit.2016.14openalex-snapshot
Enhancement of Permission Management for an ARM-Android Platform
inferred← citeshttps://doi.org/10.1109/comst.2016.2519912openalex-snapshot
In-Depth Survey of Digital Advertising Technologies
inferred← citeshttps://doi.org/10.1109/cse-euc.2017.211openalex-snapshot
Malicious Behavior Analysis of Android GUI Based on ADB
inferred← citeshttps://doi.org/10.1109/csitss47250.2019.9031036openalex-snapshot
A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset
inferred← citeshttps://doi.org/10.1109/dsn58367.2023.00052openalex-snapshot
DARPA: Combating Asymmetric Dark UI Patterns on Android with Run-time View Decorator
inferred← citeshttps://doi.org/10.1109/icse-companion52605.2021.00061openalex-snapshot
ProMal: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486010openalex-snapshot
An Investigation into Android In-App Ad Practice: Implications for App Developers
inferred← citeshttps://doi.org/10.1109/inm.2015.7140304openalex-snapshot
Dude, ask the experts!: Android resource access permission recommendation with RecDroid
inferred← citeshttps://doi.org/10.1109/innovations.2018.8605973openalex-snapshot
Towards a Machine Learning Approach for Detecting Click Fraud in Mobile Advertizing
inferred← citeshttps://doi.org/10.1109/iscc.2015.7405642openalex-snapshot
Android app recommendation approach based on network traffic measurement and analysis
inferred← citeshttps://doi.org/10.1109/mobilesoft.2017.22openalex-snapshot
ACCUSE: Helping Users to Minimize Android App Privacy Concerns
inferred← citeshttps://doi.org/10.1109/mobilesoft52590.2021.00011openalex-snapshot
Towards Understanding iOS App Store Search Advertising: An Explorative Study
inferred← citeshttps://doi.org/10.1109/qrs.2017.12openalex-snapshot
Which Factor Impacts GUI Traversal-Based Test Case Generation Technique Most? A Controlled Experiment on Android Applications
inferred← citeshttps://doi.org/10.1109/qrs51102.2020.00072openalex-snapshot
Dissecting Mobile Offerwall Advertisements: An Explorative Study
inferred← citeshttps://doi.org/10.1109/srds.2015.41openalex-snapshot
PmDroid: Permission Supervision for Android Advertising
inferred← citeshttps://doi.org/10.1109/tdsc.2019.2908939openalex-snapshot
Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications
inferred← citeshttps://doi.org/10.1109/tifs.2017.2767019openalex-snapshot
Android User Privacy Preserving Through Crowdsourcing
inferred← citeshttps://doi.org/10.1109/tmc.2017.2708716openalex-snapshot
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
inferred← citeshttps://doi.org/10.1109/tmc.2018.2809727openalex-snapshot
Understanding In-App Ads and Detecting Hidden Attacks through the Mobile App-Web Interface
inferred← citeshttps://doi.org/10.1109/tmc.2019.2953609openalex-snapshot
MAdLens: Investigating Into Android In-App Ad Practice at API Granularity
inferred← citeshttps://doi.org/10.1109/tmc.2020.2966991openalex-snapshot
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
inferred← citeshttps://doi.org/10.1109/tmc.2021.3079433openalex-snapshot
Overlay-Based Android Malware Detection at Market Scales: Systematically Adapting to the New Technological Landscape
inferred← citeshttps://doi.org/10.1109/tr.2019.2928459openalex-snapshot
A Systematic Study on Factors Impacting GUI Traversal-Based Test Case Generation Techniques for Android Applications
inferred← citeshttps://doi.org/10.1109/trustcom.2015.377openalex-snapshot
Fast Identification of Obfuscation and Mobile Advertising in Mobile Malware
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.2016.2630689openalex-snapshot
A Survey of App Store Analysis for Software Engineering
inferred← citeshttps://doi.org/10.1109/tse.2021.3114381openalex-snapshot
Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/2742647.2742668openalex-snapshot
Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps
inferred← citeshttps://doi.org/10.1145/2896921.2896930openalex-snapshot
Graph-aided directed testing of Android applications for checking runtime privacy behaviours
inferred← citeshttps://doi.org/10.1145/2896967.2896970openalex-snapshot
Lightweight measurement and estimation of mobile ad energy consumption
inferred← citeshttps://doi.org/10.1145/2970276.2975935openalex-snapshot
Automated testing and notification of mobile app privacy leak-cause behaviours
inferred← citeshttps://doi.org/10.1145/2987443.2987466openalex-snapshot
Browser Feature Usage on the Modern Web
inferred← citeshttps://doi.org/10.1145/2994459.2994472openalex-snapshot
What You See Isn't Always What You Get
inferred← citeshttps://doi.org/10.1145/3131365.3131393openalex-snapshot
Exploring the dynamics of search advertiser fraud
inferred← citeshttps://doi.org/10.1145/3177102.3177113openalex-snapshot
How do Mobile Apps Violate the Behavioral Policy of Advertisement Libraries?
inferred← citeshttps://doi.org/10.1145/3242587.3242616openalex-snapshot
Robust Annotation of Mobile Application Interfaces in Methods for Accessibility Repair and Enhancement
inferred← citeshttps://doi.org/10.1145/3299815.3314453openalex-snapshot
Deep Learning-based Model to Fight Against Ad Click Fraud
inferred← citeshttps://doi.org/10.1145/3307334.3326094openalex-snapshot
Understanding and Detecting Overlay-based Android Malware at Market Scales
inferred← citeshttps://doi.org/10.1145/3308558.3313549openalex-snapshot
Revisiting Mobile Advertising Threats with MAdLife
inferred← citeshttps://doi.org/10.1145/3366423.3380217openalex-snapshot
Keeping out the Masses: Understanding the Popularity and Implications of Internet Paywalls
inferred← citeshttps://doi.org/10.1145/3442381.3449932openalex-snapshot
Demystifying Illegal Mobile Gambling Apps
inferred← citeshttps://doi.org/10.1145/3460120.3484546openalex-snapshot
Dissecting Click Fraud Autonomy in the Wild
inferred← citeshttps://doi.org/10.1145/3570361.3613259openalex-snapshot
Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility
inferred← citeshttps://doi.org/10.1145/3689944.3696159openalex-snapshot
Enhancing Transparency and Accountability of TPLs with PBOM: A Privacy Bill of Materials
inferred← citeshttps://doi.org/10.1186/s13635-019-0095-1openalex-snapshot
Crowdsourcing for click fraud detection
inferred← citeshttps://doi.org/10.14198/medcom.20349openalex-snapshot
Estudio sobre el fraude de métricas publicitarias: evolución, análisis y herramientas para la mitigación
inferred← citeshttps://doi.org/10.14722/ndss.2016.23234openalex-snapshot
Are these Ads Safe: Detecting Hidden Attacks through the Mobile App-Web Interfaces
inferred← citeshttps://doi.org/10.14722/ndss.2019.23052openalex-snapshot
Geo-locating Drivers: A Study of Sensitive Data Leakage in Ride-Hailing Services
inferred← citeshttps://doi.org/10.14722/ndss.2021.23161openalex-snapshot
The Abuser Inside Apps: Finding the Culprit Committing Mobile Ad Fraud
inferred← citeshttps://doi.org/10.1561/9781680839654openalex-snapshot
Tracking on the Web, Mobile and the Internet of Things
inferred← citeshttps://doi.org/10.19107/ijisc.2016.01.02openalex-snapshot
Android and iOS Security – An Analysis and Comparison Report
inferred← citeshttps://doi.org/10.22214/ijraset.2019.3358openalex-snapshot
Survey about Mobile Secured Accessibility Control System using Android
inferred← citeshttps://doi.org/10.24382/1215openalex-snapshot
Behavioural Monitoring via Network Communications
inferred← citeshttps://doi.org/10.31577/cai_2021_3_606openalex-snapshot
Real Time Mobile Ad Investigator: An Effective and Novel Approach for Mobile Click Fraud Detection
inferred← citeshttps://doi.org/10.32628/cseit251112366openalex-snapshot
Demystifying App Performance Optimization: From Cold Starts to Seamless Transitions
inferred← citeshttps://doi.org/10.4018/978-1-7998-8545-0.ch004openalex-snapshot
Identification of Cryptographic Vulnerability and Malware Detection in Android
inferred← citeshttps://doi.org/10.4018/ijisp.2017070102openalex-snapshot
Identification of Cryptographic Vulnerability and Malware Detection in Android
inferred← citeshttps://doi.org/10.4018/ijitn.309700openalex-snapshot
Detection and Analysis Ads Through the Mini-Programs
inferred← citeshttps://doi.org/10.48550/arxiv.1605.06467openalex-snapshot
Browser Feature Usage on the Modern Web
inferred← citeshttps://doi.org/10.48550/arxiv.1607.03575openalex-snapshot
IntelliAd Understanding In-APP Ad Costs From Users Perspective
inferred← citeshttps://doi.org/10.48550/arxiv.1702.07681openalex-snapshot
What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews
inferred← citeshttps://doi.org/10.48550/arxiv.1710.08562openalex-snapshot
DroidWalker: Generating Reproducible Test Cases via Automatic Exploration of Android Apps
inferred← citeshttps://doi.org/10.48550/arxiv.1807.04901openalex-snapshot
Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications
inferred← citeshttps://doi.org/10.48550/arxiv.2007.05556openalex-snapshot
THEMIS: Decentralized and Trustless Ad Platform with Reporting Integrity
inferred← citeshttps://doi.org/10.48550/arxiv.2106.01940openalex-snapshot
THEMIS: A Decentralized Privacy-Preserving Ad Platform with Reporting Integrity
inferred← citeshttps://doi.org/10.48550/arxiv.2108.03787openalex-snapshot
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview
inferred← citeshttps://doi.org/10.5121/csit.2019.90931openalex-snapshot
Ensemble learning using frequent itemset mining for anomaly detection
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.