SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack-Reference-Cited by-同舟云学术

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SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack

Published:2023-12-04 Issue: Volume: Page:1342-1351
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
language:
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Author:

Zhang Fei¹,Feng Ruitao²,Xie Xiaofei²,Li Xiaohong¹,Shi Lianshuan³

Affiliation:

1. Tianjin University,College of Intelligence and Computing,Tianjin,China

2. Singapore Management University,School of Computing and Information Systems,Singapore

3. Tianjin University of Technology and Education,School of Information Technology and Engineering,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411588.pdf?arnumber=10411588

Reference29 articles.

1. Android statistics (2021),2021

2. MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models

3. A Performance-Sensitive Malware Detection System on Mobile Platform

4. MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform

5. SeqMobile: An Efficient Sequence-Based Malware Detection System Using RNN on Mobile Devices

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