A Similar Module Extraction Approach for Android Malware

DEStech Transactions on Computer Science and Engineering
doi 10.12783/dtcse/mso2018/20498
Full Text
Abstract

Available in full text

Date
Authors
Publisher

DEStech Publications

Related search

A Semantic-Based Approach for Ontology Module Extraction

2013English

A Neural Network Based Hybrid Approach for Analysing and Detecting Malware Threat in Android Applications

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

RoughDroid: Operative Scheme for Functional Android Malware Detection

Security and Communication Networks
Computer NetworksInformation SystemsCommunications
2018English

Android Malware Detection via Graphlet Sampling

IEEE Transactions on Mobile Computing
Computer NetworksElectronic EngineeringSoftwareElectricalCommunications
2019English

Research of Android Malware Detection Based on ACO Optimized Xgboost Parameters Approach

2019English

InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems

International Journal of Advanced Computer Science and Applications
Computer Science
2017English

Android Malware Detection Using Kullback-Leibler Divergence

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

Android Mobile Platform Security and Malware Survey

International Journal of Research in Engineering and Technology
2013English

A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

IEEE Transactions on Information Forensics and Security
RiskComputer NetworksCommunicationsReliabilitySafetyQuality
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy