Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Activities
Research Labs / Equipment
Datasets
Projects
Search by expertise, name or affiliation
BPFroid: Robust Real Time Android Malware Detection Framework
Yaniv Agman,
Danny Hendler
Department of Computer Science
Research output
:
Working paper/Preprint
›
Preprint
300
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'BPFroid: Robust Real Time Android Malware Detection Framework'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Dynamic Analysis
100%
Detection Method
100%
Malware
100%
Detection Framework
100%
Malware Detection
100%
Functioning System
100%
Runtime Performance
100%
System Call
100%
Performance Overhead
100%
Linux Kernel
100%
Real Device
100%
Android
100%
Software Stack
100%
Kernel Function
100%
Behavioral Signature
100%
Analytical Comparison
100%
Suspiciousness
100%
User Application
100%
Library Function
100%
Native Libraries
100%
Android Malware Detection
100%
Android System
100%
Java API
100%
Android Software
100%
Forensic Artifacts
100%
Computer Science
Malware Detection
100%
Android
100%
Android Malware
100%
Malware
33%
Detection Method
33%
Dynamic Analysis
33%
System Calls
33%
Software Stack
33%
Kernel Function
33%
Linux
33%
Analysis Framework
33%
Suspicious Behavior
33%
User Application
33%
Library Function
33%
Function System
33%
Forensic Artifact
33%