Android Malware Detection via Graphlet Sampling

IEEE Transactions on Mobile Computing- United States

doi 10.1109/tmc.2018.2880731

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Android Malware Detection Using Kullback-Leibler Divergence

ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
2014Danish

RoughDroid: Operative Scheme for Functional Android Malware Detection

Security and Communication Networks
Computer NetworksInformation SystemsCommunications
2018English

The Android Malware Detection Systems Between Hope and Reality

SN Applied Sciences
2019English

Survey on Android Malware Detection Using Multilevel Classifier Fusion

International Journal for Research in Applied Science and Engineering Technology
2019English

Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection

Vietnam Journal of Computer Science
2020English

Runtime-Based Behavior Dynamic Analysis System for Android Malware Detection

2012English

Research on Android Malware Detection Technology Based on Improved SVM Algorithm

DEStech Transactions on Engineering and Technology Research
2017English

An Android Malware Static Detection Scheme Based on Cloud Security Structure

International Journal of Security and Networks
Electronic EngineeringRiskComputer NetworksCommunicationsReliabilityElectricalSafetyQuality
2018English

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

2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy