Feature selection‐based android malware adversarial sample generation and detection method

Feature selection‐based android malware adversarial sample generation and detection method

Abstract With the popularisation of Android smartphones, the value of mobile application security research has increased. The emergence of adversarial technology makes it possible for malware to evade detection. Therefore, research is conducted on Android malicious applications of adversarial attack...

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Bibliographic Details
Main Authors: Xiangjun Li, Ke Kong, Su Xu, Pengtao Qin, Daojing He
Format: Article
Language:English
Published: Hindawi-IET 2021-11-01
Series:IET Information Security
Subjects:
pattern classification
invasive software
Android (operating system)
feature extraction
mobile computing
smart phones
Online Access:https://doi.org/10.1049/ise2.12030

Internet

https://doi.org/10.1049/ise2.12030

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