INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An effective detection of mobile malware behavior using network traffic :TrafficAV
Authors Name:
Vinisha Malik
, Dr. Sandip Kumar Goyal
Unique Id:
IJSDR1906073
Published In:
Volume 4 Issue 6, June-2019
Abstract:
Android has become the most popular mobile plat- form due to its openness and flexibility. Meanwhile, it has also become the main target of massive mobile malware. This phenomenon drives a pressing need for malware detection. In this paper, we propose TrafficAV, which is an effective and explainable detection of mobile malware behavior using network traffic. Network traffic generated by mobile app is mirrored from the wireless access point to the server for data analysis. All data analysis and malware detection are performed on the server side, which consumes minimum resources on mobile devices without affecting the user experience. Due to the difficulty in identifying disparate malicious behaviors of malware from the network traffic, TrafficAV performs a multi-level network traffic analysis, gathering as many features of network traffic as necessary. In an evaluation with 8,312 benign apps and 5,560 malware samples, TCP flow detection model and HTTP detection model all perform well and achieve detection rates of 98.16% and 99.65%, respectively. In addition, for the benefit of user, TrafficAV not only displays the final detection results, but also analyzes the behind-the- curtain reason of malicious results. This allows users to further investigate each feature’s contribution in the final result.
Keywords:
Cite Article:
"An effective detection of mobile malware behavior using network traffic :TrafficAV", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 6, page no.413 - 419, June-2019, Available :http://www.ijsdr.org/papers/IJSDR1906073.pdf
Downloads:
000337216
Publication Details:
Published Paper ID: IJSDR1906073
Registration ID:190689
Published In: Volume 4 Issue 6, June-2019
DOI (Digital Object Identifier):
Page No: 413 - 419
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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