Skip to main content
padlock icon - secure page this page is secure

Evaluation of Network Traffic Analysis Using Fuzzy C-Means Clustering Algorithm in Mobile Malware Detection

Buy Article:

$106.67 + tax (Refund Policy)

Due to widespread use of mobile devices and open source nature of Android operating system, such devices have been targeted by attackers. The Android malware steadily grow in number and complexity. This motivates researchers to develop detection methods. In this paper, we introduce the use of Fuzzy C-Means clustering in Android malware detection. We chose 800 malware samples and 100 clean applications, and collected generated network traffic. Selected features were extracted from the network traffic, and then used in Fuzzy C-Means clustering algorithm. The results show that this algorithm is capable of clustering our data into two groups of clean and malicious data. Furthermore, we validated our results by comparing them to our labelled dataset, which showed 13% discrepancy in results.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Android Malware; Clustering; Fuzzy C-Means; Network Traffic

Document Type: Research Article

Affiliations: Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

Publication date: February 1, 2018

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more