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AndrODet: An adaptive Android obfuscation detector

  • Published:2019-01 Issue: Volume:90 Page:240-261
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Mirzaei O.ORCID,de Fuentes J.M.ORCID,Tapiador J.,Gonzalez-Manzano L.ORCID

Funder

MINECO

CAM

European FEDER funds

UC3M’s

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference68 articles.

1. Broken fingers: On the usage of the fingerprint API in android;Bianchi,2018

2. Smartphone os market share. https://www.idc.com/promo/smartphone-market-share/os. (Accessed 19 February 2018).

3. Mobile malware evolution. https://securelist.com/mobile-malware-review-2017/84139/. (Accessed 14 March 2018).

4. S. Dong, M. Li, W. Diao, X. Liu, J. Liu, Z. Li, F. Xu, K. Chen, X. Wang, K. Zhang, Understanding android obfuscation techniques: A large-scale investigation in the wild, 2018. ArXiv preprint arXiv:1801.01633.

5. Droidchameleon: evaluating android anti-malware against transformation attacks;Rastogi,2013

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