Skip to main navigation
Skip to search
Skip to main content
Hong Kong Baptist University Home
Help & FAQ
Home
Scholars
Departments / Units
Research Output
Projects / Grants
Prizes / Awards
Activities
Press/Media
Student theses
Datasets
Search by expertise, name or affiliation
MFF-AMD: Multivariate Feature Fusion for Android Malware Detection
Guangquan Xu
, Meiqi Feng
, Litao Jiao
, Jian Liu
*
,
Hong Ning Dai
, Ding Wang
, Emmanouil Panaousis
, Xi Zheng
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
1
Citation (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'MFF-AMD: Multivariate Feature Fusion for Android Malware Detection'. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Keyphrases
Static Analysis
100%
Malware
100%
Malware Sample
100%
Android Malware Detection
100%
Multivariate Feature Fusion
100%
Machine Learning Techniques
50%
Detection Method
50%
Hybrid Analysis
50%
Classification Performance
50%
Structure Function
50%
Dynamic Analysis
50%
Detection Accuracy
50%
Weight Distribution
50%
Dynamic Features
50%
Feature Extracting
50%
Base Classifier
50%
Higher Classification
50%
Application Function
50%
Artificial Intelligence Algorithm
50%
Comprehensive Feature
50%
Adversarial Process
50%
Relief Algorithm
50%
Distribution Algorithm
50%
Android Malware
50%
Code Structure
50%
Static Features
50%
Computer Science
Feature Fusion
100%
Malware Detection
100%
Android Malware
100%
Malware Sample
66%
Artificial Intelligence
33%
Classification Performance
33%
Extracted Feature
33%
Detection Method
33%
Machine Learning Technique
33%
Malware
33%
Structure Function
33%
Base Classifier
33%
Detection Accuracy
33%
Detect Malware
33%
Application Function
33%
Dynamic Analysis
33%