DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network-Reference-Cited by-同舟云学术

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

Published:2021-02 Issue: Volume:115 Page:844-856
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Imtiaz Syed Ibrahim,Rehman Saif ur,Javed Abdul Rehman,Jalil Zunera,Liu Xuan,Alnumay Waleed S.

Funder

Researchers Supporting Project number

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference59 articles.

1. Gartner says worldwide sales of smartphones recorded first ever decline during the fourth quarter of 2017,2020

2. Intelligent reward-based data offloading in next-generation vehicular networks;Raja;IEEE Internet Things J.,2020

3. Ensemble adaboost classifier for accurate and fast detection of botnet attacks in connected vehicles;Rehman Javed;Trans. Emerg. Telecommun. Technol.,2020

4. E. Lavoie, L. Hendren, Personal volunteer computing, in: Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019, pp. 240–246.

5. The mobile economy 2020,2020

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