MalDroid: Secure DL‐enabled intelligent malware detection framework

Author:

Haq Ikram Ul1ORCID,Khan Tamim Ahmed1ORCID,Akhunzada Adnan2ORCID,Liu Xuan3ORCID

Affiliation:

1. Software Engineering Department Bahria University Islamabad Pakistan

2. Faculty of Computing and Informatics University Malaysia Sabah Kota Kinabalu Malaysia

3. College of Information Engineering (College of Artificial Intelligence) Yangzhou University Yangzhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference45 articles.

1. Eight years of rider measurement in the android malware ecosystem;Suarez‐Tangil G.;IEEE Trans. Dependable Secure Comput.,2020

2. On Mobile Edge Caching

3. Deep Learning in Mobile and Wireless Networking: A Survey

4. Mobile malware detection: A survey;Hamed Y.S.I.;Int. J. Comput. Sci. Inf. Secur. (IJCSIS),2019

5. Yang X. et al.:An approach to alleviate the sparsity problem of hybrid collaborative filtering based recommendations: the product‐attribute perspective from user reviews.Mobile networks and applications pp.1–15 (2019)

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