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Characterizing malicious Android apps by mining topic-specific data flow signatures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1706openalex-snapshot
Dual analysis for recommending developers to resolve bugs
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Leveraging String Kernels for Malware Detection
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Quantitative Security Risk Assessment of Android Permissions and Applications
inferredcites →https://doi.org/10.1007/s11390-015-1576-4openalex-snapshot
Multi-Factor Duplicate Question Detection in Stack Overflow
inferredcites →https://doi.org/10.1007/s11390-016-1672-0openalex-snapshot
What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts
inferredcites →https://doi.org/10.1016/j.infsof.2010.04.002openalex-snapshot
Bug localization using latent Dirichlet allocation
inferredcites →https://doi.org/10.1016/j.ins.2011.08.020openalex-snapshot
Opcode sequences as representation of executables for data-mining-based unknown malware detection
inferredcites →https://doi.org/10.1023/a:1009745219419openalex-snapshot
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
inferredcites →https://doi.org/10.1023/a:1022602019183openalex-snapshot
Genetic Algorithms and Machine Learning
inferredcites →https://doi.org/10.1109/acsac.2007.9openalex-snapshot
MetaAware: Identifying Metamorphic Malware
inferredcites →https://doi.org/10.1109/ase.2011.6100062openalex-snapshot
A topic-based approach for narrowing the search space of buggy files from a bug report
inferredcites →https://doi.org/10.1109/compsac.2014.61openalex-snapshot
A Forensic Analysis of Android Malware -- How is Malware Written and How it Could Be Detected?
inferredcites →https://doi.org/10.1109/iadcc.2014.6779304openalex-snapshot
Ranked linear discriminant analysis features for metamorphic malware detection
inferredcites →https://doi.org/10.1109/icdm.2008.140openalex-snapshot
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
inferredcites →https://doi.org/10.1109/icsme.2016.51openalex-snapshot
Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model
inferredcites →https://doi.org/10.1109/icsme52107.2021.00001openalex-snapshot
Proceedings 2021 IEEE International Conference on Software Maintenance and Evolution
inferredcites →https://doi.org/10.1109/ndss.1995.390650openalex-snapshot
Proceedings of the Symposium on Network and Distributed System Security
inferredcites →https://doi.org/10.1109/qrs.2015.36openalex-snapshot
Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection
inferredcites →https://doi.org/10.1109/tse.2016.2576454openalex-snapshot
Improving Automated Bug Triaging with Specialized Topic Model
inferredcites →https://doi.org/10.1109/wcre.2013.6671282openalex-snapshot
Accurate developer recommendation for bug resolution
inferredcites →https://doi.org/10.1145/1342211.1342215openalex-snapshot
Mining specifications of malicious behavior
inferredcites →https://doi.org/10.1145/1599272openalex-snapshot
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
inferredcites →https://doi.org/10.1145/1599272.1599278openalex-snapshot
Malware detection using statistical analysis of byte-level file content
inferredcites →https://doi.org/10.1145/1654988.1655003openalex-snapshot
Using spatio-temporal information in API calls with machine learning algorithms for malware detection
inferredcites →https://doi.org/10.1145/1806799.1806817openalex-snapshot
Software traceability with topic modeling
inferredcites →https://doi.org/10.1145/1985793.1986020openalex-snapshot
Mining software repositories using topic models
inferredcites →https://doi.org/10.1145/2063576.2063689openalex-snapshot
Transferring topical knowledge from auxiliary long texts for short text clustering
inferredcites →https://doi.org/10.1145/2351676.2351687openalex-snapshot
Duplicate bug report detection with a combination of information retrieval and topic modeling
inferredcites →https://doi.org/10.1145/2517312openalex-snapshot
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
inferredcites →https://doi.org/10.1145/2517312.2517315openalex-snapshot
Structural detection of android malware using embedded call graphs
inferredcites →https://doi.org/10.1145/2568225.2568276openalex-snapshot
Checking app behavior against app descriptions
inferredcites →https://doi.org/10.1184/r1/6469127openalex-snapshot
Panorama: Capturing System-Wide Information Flow for Malware Detection and Analysis
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/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis
inferredcites →https://doi.org/10.5220/0001863603170320openalex-snapshot
N-GRAMS-BASED FILE SIGNATURES FOR MALWARE DETECTION
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-80125-9_15openalex-snapshot
Low-Coders, No-Coders, and Citizen Developers in Demand: Examining Knowledge, Skills, and Abilities Through a Job Market Analysis
inferred← citeshttps://doi.org/10.1007/978-981-15-3383-9_25openalex-snapshot
Android Rogue Application Detection Using Image Resemblance and Reduced LDA
inferred← citeshttps://doi.org/10.1007/978-981-15-9700-8_6openalex-snapshot
An Exploration of Changes Addressed in the Android Malware Detection Walkways
inferred← citeshttps://doi.org/10.1007/s10664-019-09764-zopenalex-snapshot
CDA: Characterising Deprecated Android APIs
inferred← citeshttps://doi.org/10.1007/s10664-021-10026-0openalex-snapshot
Topic modeling in software engineering research
inferred← citeshttps://doi.org/10.1007/s10664-023-10375-yopenalex-snapshot
Experimental comparison of features, analyses, and classifiers for Android malware detection
inferred← citeshttps://doi.org/10.1007/s11042-018-6894-4openalex-snapshot
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
inferred← citeshttps://doi.org/10.1007/s42452-019-1124-xopenalex-snapshot
The Android malware detection systems between hope and reality
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104723openalex-snapshot
Android app suspicious hidden sensitive operation detection with high coverage of program execution path
inferred← citeshttps://doi.org/10.1080/0144929x.2025.2506663openalex-snapshot
Low-Code excellence: unveiling the skill set of modern digital architects
inferred← citeshttps://doi.org/10.1080/1206212x.2023.2270804openalex-snapshot
Malware image classification: comparative analysis of a fine-tuned CNN and pre-trained models
inferred← citeshttps://doi.org/10.1108/ijem-01-2023-0005openalex-snapshot
Future educational environment – Identification of smart campus topic trends using text mining
inferred← citeshttps://doi.org/10.1109/access.2019.2918139openalex-snapshot
Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions
inferred← citeshttps://doi.org/10.1109/access.2020.3002842openalex-snapshot
A Systematic Literature Review of Android Malware Detection Using Static Analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3435362openalex-snapshot
Efficient and Generalized Image-Based CNN Algorithm for Multi-Class Malware Detection
inferred← citeshttps://doi.org/10.1109/asew52652.2021.00023openalex-snapshot
A First Look at Security Risks of Android TV Apps
inferred← citeshttps://doi.org/10.1109/compsac.2018.00065openalex-snapshot
Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu
inferred← citeshttps://doi.org/10.1109/icccnt.2018.8493973openalex-snapshot
Automated Topic Modeling and Sentiment Analysis of Tweets on SparkR
inferred← citeshttps://doi.org/10.1109/icitsi50517.2020.9264929openalex-snapshot
Searching for Malware Dataset: a Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/icpc52881.2021.00050openalex-snapshot
Checking App Behavior Against App Descriptions: What If There are No App Descriptions?
inferred← citeshttps://doi.org/10.1109/issre.2018.00031openalex-snapshot
MoonlightBox: Mining Android API Histories for Uncovering Release-Time Inconsistencies
inferred← citeshttps://doi.org/10.1109/issre52982.2021.00058openalex-snapshot
Characterizing Sensor Leaks in Android Apps
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3358979openalex-snapshot
Improving Logic Bomb Identification in Android Apps via Context-Aware Anomaly Detection
inferred← citeshttps://doi.org/10.1109/ubmk.2018.8566573openalex-snapshot
The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges
inferred← citeshttps://doi.org/10.1145/3196398.3196419openalex-snapshot
Characterising deprecated Android APIs
inferred← citeshttps://doi.org/10.1145/3395351.3399346openalex-snapshot
An empirical study of potentially malicious third-party libraries in Android apps
inferred← citeshttps://doi.org/10.1145/3446905openalex-snapshot
On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection
inferred← citeshttps://doi.org/10.1145/3485447.3512151openalex-snapshot
Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit
inferred← citeshttps://doi.org/10.1145/3556974openalex-snapshot
Android Source Code Vulnerability Detection: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3597503.3639094openalex-snapshot
Revisiting Android App Categorization
inferred← citeshttps://doi.org/10.1145/3643787.3648029openalex-snapshot
Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps
inferred← citeshttps://doi.org/10.1186/s13174-021-00134-xopenalex-snapshot
Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoption
inferred← citeshttps://doi.org/10.1371/journal.pone.0246464openalex-snapshot
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow
inferred← citeshttps://doi.org/10.15294/sji.v9i1.34941openalex-snapshot
Topic Modeling on WhatsApp User Reviews Using Latent Dirichlet Allocation
inferred← citeshttps://doi.org/10.18293/seke2018-180openalex-snapshot
Re-checking App Behavior against App Description in the Context of Third-party Libraries
inferred← citeshttps://doi.org/10.3390/computers13100272openalex-snapshot
A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic
inferred← citeshttps://doi.org/10.47852/bonviewjdsis42022312openalex-snapshot
Enhancing Data Lake Management Systems with LDA Approach
inferred← citeshttps://doi.org/10.48550/arxiv.2107.03072openalex-snapshot
Android Security using NLP Techniques: A Review
inferred← citeshttps://doi.org/10.56294/dm2023183openalex-snapshot
Data Lake Management System based on Topic Modeling
inferred← citeshttps://doi.org/10.7717/peerj-cs.1658openalex-snapshot
Identification of mobile development issues using semantic topic modeling of Stack Overflow posts
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