On the public citation graph

DAISY: Dynamic-Analysis-Induced Source Discovery for Sensitive Data

https://doi.org/10.1145/3569936
0 signed · 60 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-30921-2_17openalex-snapshot
AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale
inferredcites →https://doi.org/10.1007/s10515-021-00290-1openalex-snapshot
ANCHOR: locating android framework-specific crashing faults
inferredcites →https://doi.org/10.1007/s10922-005-4443-8openalex-snapshot
Automated Problem Determination Using Call-Stack Matching
inferredcites →https://doi.org/10.1016/j.jisa.2019.03.014openalex-snapshot
Dynamic privacy leakage analysis of Android third-party libraries
inferredcites →https://doi.org/10.1109/eisic.2018.00002openalex-snapshot
Proceedings 2018 European Intelligence and Security Informatics Conference
inferredcites →https://doi.org/10.1109/icmla.2018.00120openalex-snapshot
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
inferredcites →https://doi.org/10.1109/qrs.2015.37openalex-snapshot
Machine Learning Based Hybrid Behavior Models for Android Malware Analysis
inferredcites →https://doi.org/10.1109/secpri.2003.1199322openalex-snapshot
Proceedings 2003 Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/secpri.2004.1301305openalex-snapshot
Proceedings 2004 IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/tdsc.2017.2740169openalex-snapshot
TaintMan: An ART-Compatible Dynamic Taint Analysis Framework on Unmodified and Non-Rooted Android Devices
inferredcites →https://doi.org/10.1109/tvcg.2018.2865026openalex-snapshot
A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications
inferredcites →https://doi.org/10.1145/199448.199462openalex-snapshot
Precise interprocedural dataflow analysis via graph reachability
inferredcites →https://doi.org/10.1145/2245276.2232009openalex-snapshot
A framework for static detection of privacy leaks in android applications
inferredcites →https://doi.org/10.1145/2382196openalex-snapshot
Proceedings of the 2012 ACM conference on Computer and communications security
inferredcites →https://doi.org/10.1145/2594291.2594299openalex-snapshot
FlowDroid
inferredcites →https://doi.org/10.1145/2614628.2614633openalex-snapshot
Android taint flow analysis for app sets
inferredcites →https://doi.org/10.1145/2619091openalex-snapshot
TaintDroid
inferredcites →https://doi.org/10.1145/2627393.2627395openalex-snapshot
ViewDroid
inferredcites →https://doi.org/10.1145/2666356.2594299openalex-snapshot
FlowDroid
inferredcites →https://doi.org/10.1145/2815675openalex-snapshot
Proceedings of the 2015 Internet Measurement Conference
inferredcites →https://doi.org/10.1145/288195openalex-snapshot
Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
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/10.1145/2902362openalex-snapshot
On the naturalness of software
inferredcites →https://doi.org/10.1145/2976749openalex-snapshot
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3052973openalex-snapshot
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3098243.3098247openalex-snapshot
UiRef
inferredcites →https://doi.org/10.1145/3106237openalex-snapshot
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3180155.3180196openalex-snapshot
GUILeak
inferredcites →https://doi.org/10.1145/3183575openalex-snapshot
Amandroid
inferredcites →https://doi.org/10.1145/3238147.3240465openalex-snapshot
An empirical study of Android test generation tools in industrial cases
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3293882.3330556openalex-snapshot
Codebase-adaptive detection of security-relevant methods
inferredcites →https://doi.org/10.1145/3322431.3326329openalex-snapshot
Toward Detection of Access Control Models from Source Code via Word Embedding
inferredcites →https://doi.org/10.1145/3324884.3418905openalex-snapshot
An automated assessment of Android clipboards
inferredcites →https://doi.org/10.1145/3368089.3409745openalex-snapshot
Borrowing your enemy’s arrows: the case of code reuse in Android via direct inter-app code invocation
inferredcites →https://doi.org/10.1145/3377811.3380401openalex-snapshot
How does misconfiguration of analytic services compromise mobile privacy?
inferredcites →https://doi.org/10.1145/3440033openalex-snapshot
Taming Reflection
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.14722/ndss.2014openalex-snapshot
Proceedings 2014 Network and Distributed System Security Symposium
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/10.14722/ndss.2015.23145openalex-snapshot
CopperDroid: Automatic Reconstruction of Android Malware Behaviors
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.5120/ijca2020920308openalex-snapshot
Unstructured Data Collection from APK files for Malware Detection

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109945openalex-snapshot
An automated framework for detecting and mitigating memory safety vulnerabilities in UEFI firmware
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104657openalex-snapshot
DroidReach++: Exploring the reachability of native code in android applications
inferred← citeshttps://doi.org/10.1109/access.2025.3610616openalex-snapshot
Binary Code Analysis for Cybersecurity: A Systematic Review of Forensic Techniques in Vulnerability Detection and Anti-Evasion Strategies
inferred← citeshttps://doi.org/10.1109/asew67777.2025.00068openalex-snapshot
ARTRIP: Automatic AR Testing with Randomized Interaction Patterns
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00134openalex-snapshot
VioScan: Deep Learning-driven Analysis of Compliance and Consistency in Android Applications
inferred← citeshttps://doi.org/10.1109/jiot.2026.3696762openalex-snapshot
CASSIS: An LLM-Driven Framework for Sensitive API Identification in Cyber–Physical System Software Repositories
inferred← citeshttps://doi.org/10.1109/mobilesoft66462.2025.00012openalex-snapshot
Evaluating Taint Specification Generators for Identifying Taint Sources in Relation to Data Safety Section
inferred← citeshttps://doi.org/10.1109/saner-c62648.2024.00020openalex-snapshot
Finding Privacy-Relevant Source Code
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00057openalex-snapshot
An Empirical Study of Privacy Leakage Vulnerability in Third-Party Android Logs Libraries
inferred← citeshttps://doi.org/10.1109/scam67354.2025.00014openalex-snapshot
Smelling Secrets: Leveraging Machine Learning and Language Models for Sensitive Parameter Detection in Ansible Security Analysis
inferred← citeshttps://doi.org/10.1145/3696630.3728508openalex-snapshot
Toward LLM-Driven GDPR Compliance Checking for Android Apps
inferred← citeshttps://doi.org/10.1145/3786582.3786809openalex-snapshot
Automatic Validation of LLM-Generated Code with Prompt Paraphrasing
inferred← citeshttps://doi.org/10.1145/3786582.3786810openalex-snapshot
EVATest: Domain-Oriented Android GUI Testing based on Reward-Guided Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.2139/ssrn.6257116openalex-snapshot
Is Your Private Information Logged? An Empirical Study on Android App Logs
inferred← citeshttps://doi.org/10.2139/ssrn.6463688openalex-snapshot
Assessing Privacy Leakage in Android App Logs: An Empirical Study of Recorded and Real-World Cases
inferred← citeshttps://doi.org/10.2139/ssrn.6479524openalex-snapshot
Is Your Private Information Logged? An Empirical Study on Android App Logs
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.