Conference proceeding
MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform
2019 24th International Conference on Engineering of Complex Computer Systems (ICECCS), pp.61-70
IEEE International Conference on Engineering of Complex Computer Systems-ICECCS
International Conference on Engineering of Complex Computer Systems (ICECCS), 24th (Guangzhou, China, 13/11/2019)
2019
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Abstract
Currently, Android malware detection is mostly performed on the server side against the increasing number of Android malware. Powerful computing resource gives more exhaustive protection for Android markets than maintaining detection by a single user in many cases. However, apart from the Android apps provided by the official market (i.e., Google Play Store), apps from unofficial markets and third-party resources are always causing a serious security threat to end-users. Meanwhile, it is a time-consuming task if the app is downloaded first and then uploaded to the server side for detection because the network transmission has a lot of overhead. In addition, the uploading process also suffers from the threat of attackers. Consequently, a last line of defense on Android devices is necessary and much-needed. To address these problems, in this paper, we propose an effective Android malware detection system, MobiDroid, leveraging deep learning to provide a real-time secure and fast response environment on Android devices. Although a deep learning-based approach can be maintained on server side efficiently for detecting Android malware, deep learning models cannot be directly deployed and executed on Android devices due to various performance limitations such as computation power, memory size, and energy. Therefore, we evaluate and investigate the different performances with various feature categories, and further provide an effective solution to detect malware on Android devices. The proposed detection system on Android devices in this paper can serve as a starting point for further study of this important area.
Details
- Title
- MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform
- Creators
- Ruitao Feng - Nanyang Technological UniversitySen Chen - Nanyang Technological UniversityXiaofei Xie - Nanyang Technological UniversityLei Ma - Kyushu UniversityGuozhu Meng - University of Chinese Academy of SciencesYang Liu - Nanyang Technological UniversityShang-Wei Lin - Nanyang Technological University
- Publication Details
- 2019 24th International Conference on Engineering of Complex Computer Systems (ICECCS), pp.61-70
- Conference
- International Conference on Engineering of Complex Computer Systems (ICECCS), 24th (Guangzhou, China, 13/11/2019)
- Series
- IEEE International Conference on Engineering of Complex Computer Systems-ICECCS
- Publisher
- IEEE
- Number of pages
- 10
- Grant note
- 01277 / Qdai-jump Research Program 19H04086 / JSPS KAKENHI; Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science; Grants-in-Aid for Scientific Research (KAKENHI) NRF2018NCR-NCR005-0001 / National Research Foundation, Prime Ministers Office, Singapore under its National Cybersecurity RD Program; National Research Foundation, Singapore NRF2018NCR-NSOE003-0001 / National Satellite of Excellence in Trustworthy Software System
- Identifiers
- 991013214782802368
- Academic Unit
- Information Technology; Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding