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Contaminant removal for Android malware detection systems

https://doi.org/10.1109/bigdata.2017.8258029

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-18032-8_38openalex-snapshot

Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization

inferredcites →https://doi.org/10.1007/978-3-319-59608-2_33openalex-snapshot

DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware

inferredcites →https://doi.org/10.1007/978-3-319-71273-4_19openalex-snapshot

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning

inferredcites →https://doi.org/10.1007/978-3-642-35473-1_12openalex-snapshot

Performance Evaluation on Permission-Based Detection for Android Malware

inferredcites →https://doi.org/10.1007/s00500-014-1511-6openalex-snapshot

Evaluation of machine learning classifiers for mobile malware detection

inferredcites →https://doi.org/10.1007/s10844-010-0148-xopenalex-snapshot

“Andromaly”: a behavioral malware detection framework for android devices

inferredcites →https://doi.org/10.1109/bigdata.2017.8257973openalex-snapshot

Inverse extreme learning machine for learning with label proportions

inferredcites →https://doi.org/10.1109/cvpr.2017.724openalex-snapshot

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification

inferredcites →https://doi.org/10.1109/icdm.2003.1250918openalex-snapshot

Building text classifiers using positive and unlabeled examples

inferredcites →https://doi.org/10.1109/icdm.2014.26openalex-snapshot

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases

inferredcites →https://doi.org/10.1109/ijcnn.2017.7965894openalex-snapshot

Multi-view unsupervised feature selection by cross-diffused matrix alignment

inferredcites →https://doi.org/10.1109/malware.2016.7888730openalex-snapshot

SigPID: significant permission identification for android malware detection

inferredcites →https://doi.org/10.1109/tip.2013.2253485openalex-snapshot

A Linear Support Higher-Order Tensor Machine for Classification

inferredcites →https://doi.org/10.1137/1.9781611973440.15openalex-snapshot

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages

inferredcites →https://doi.org/10.1137/1.9781611974973.22openalex-snapshot

t-BNE: Tensor-based Brain Network Embedding

inferredcites →https://doi.org/10.1145/1401890.1401920openalex-snapshot

Learning classifiers from only positive and unlabeled data

inferredcites →https://doi.org/10.1145/2307636.2307663openalex-snapshot

RiskRanker

inferredcites →https://doi.org/10.1145/2623330.2623645openalex-snapshot

Meta-path based multi-network collective link prediction

inferredcites →https://doi.org/10.1145/2983323.2983676openalex-snapshot

Multi-source Hierarchical Prediction Consolidation

inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

inferredcites →https://doi.org/10.1145/3132847.3133055openalex-snapshot

Unsupervised Feature Selection with Heterogeneous Side Information

inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-snapshot

Drebin: Effective and Explainable Detection of Android Malware in Your Pocket

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.4646635openalex-extracted

inferred← citeshttps://doi.org/10.1002/9781119784135.ch2openalex-snapshot

Cyber Threats and Gateway Defense

inferred← citeshttps://doi.org/10.1007/s10207-024-00822-2openalex-snapshot

A comprehensive review on permissions-based Android malware detection

inferred← citeshttps://doi.org/10.1016/j.jnca.2024.104021openalex-snapshot

PHIGrader: Evaluating the effectiveness of Manifest file components in Android malware detection using Multi Criteria Decision Making techniques

inferred← citeshttps://doi.org/10.1109/icbk.2018.00025openalex-snapshot

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

inferred← citeshttps://doi.org/10.1109/icoei51242.2021.9452948openalex-snapshot

SIGPID For Machine Learning based Android Malware Detection

inferred← citeshttps://doi.org/10.1109/mnet.011.1900407openalex-snapshot

Edge Intelligence Assisted Gateway Defense in Cyber Security

inferred← citeshttps://doi.org/10.1109/tii.2017.2789219openalex-snapshot

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

inferred← citeshttps://doi.org/10.1109/tnse.2019.2936466openalex-snapshot

Data-Driven Edge Intelligence for Robust Network Anomaly Detection

inferred← citeshttps://doi.org/10.1186/s42400-022-00124-xopenalex-snapshot

PUMD: a PU learning-based malicious domain detection framework

inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33011190openalex-snapshot

Private Model Compression via Knowledge Distillation

inferred← citeshttps://doi.org/10.22214/ijraset.2019.12024openalex-snapshot

Malware Detection & Prevention in Android Mobile by using Significant Permission Identification & Machine Learning

inferred← citeshttps://doi.org/10.22214/ijraset.2020.6046openalex-snapshot

Malware Detection & Prevention in Android Mobile by using Significant Permission Identification & Machine Learning

inferred← citeshttps://doi.org/10.23919/tma.2018.8506545openalex-snapshot

An Artificial Arms Race: Could it Improve Mobile Malware Detectors?

inferred← citeshttps://doi.org/10.5772/intechopen.86661openalex-snapshot

Android Application Security Scanning Process

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