Behavior Intention Derivation of Android Malware Using Ontology Inference
Previous researches on Android malware mainly focus on malware detection, and malware’s evolution makes the process face certain hysteresis. The information presented by these detected results (malice judgment, family classification, and behavior characterization) is limited for analysts. Therefore,...
Saved in:
Main Authors: | Jian Jiao, Qiyuan Liu, Xin Chen, Hongsheng Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/9250297 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Power Consumption Based Android Malware Detection
by: Hongyu Yang, et al.
Published: (2016-01-01) -
Linear SVM-Based Android Malware Detection for Reliable IoT Services
by: Hyo-Sik Ham, et al.
Published: (2014-01-01) -
A novel feature selection technique: Detection and classification of Android malware
by: Sandeep Sharma, et al.
Published: (2025-03-01) -
Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection
by: Juan Alegre-Sanahuja, et al.
Published: (2014-01-01) -
Android Malware Threats: A Strengthened Reverse Engineering Approach to Forensic Analysis
by: Ridho Surya Kusuma, et al.
Published: (2025-01-01)