A multi-view context-aware approach to Android malware detection and malicious code localization

Many existing Machine Learning (ML) based Android malware detection approaches use a variety of features such as security-sensitive APIs, system calls, control-flow structures and information flows in conjunction with ML classifiers to achieve accurate detection. Each of these feature sets provides...

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Bibliographic Details
Main Authors: Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144570
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Institution: Nanyang Technological University
Language: English