MADLIRA: A Tool for Android Malware Detection

Khanh Huu The Dam, Tayssir Touili

Abstract

Today, there are more threats to Android users since malware writers are changing their target to explore the weakness of Android devices, in order to generate malicious behaviors. Thus, detecting Android malwares is becoming crucial. We present in this paper a tool, called MADLIRA (MAlware Detection using Learning and Information Retrieval for Android). This tool implements two static approaches: (1) apply Information Retrieval techniques to automatically extract malicious behaviors from a set of malicious and benign applications, (2) apply learning techniques to automatically learn malicious applications. Then, in both cases, MADLIRA can classify a new Android application as malicious or benign.

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Paper Citation


in Harvard Style

Dam K. and Touili T. (2021). MADLIRA: A Tool for Android Malware Detection.In Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-491-6, pages 670-675. DOI: 10.5220/0010339506700675


in Bibtex Style

@conference{icissp21,
author={Khanh Huu The Dam and Tayssir Touili},
title={MADLIRA: A Tool for Android Malware Detection},
booktitle={Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2021},
pages={670-675},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010339506700675},
isbn={978-989-758-491-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - MADLIRA: A Tool for Android Malware Detection
SN - 978-989-758-491-6
AU - Dam K.
AU - Touili T.
PY - 2021
SP - 670
EP - 675
DO - 10.5220/0010339506700675