Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms-Reference-Cited by-同舟云学术

Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms

Author:

Urooj Beenish¹^ORCID,Shah Munam Ali¹^ORCID,Maple Carsten²^ORCID,Abbasi Muhammad Kamran³,Riasat Sidra¹^ORCID

Affiliation:

1. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

2. WMG, University of Warwick, Coventry, U.K.

3. Department of Distance Continuing and Computer Education, University of Sindh, Hyderabad, Pakistan

Funder

UKRI through the grants (Academic Centre of Excellence in Cyber Security Research - University of Warwick) (The Alan Turing Institute) and

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference72 articles.

1. Outlier multicollinearity free fish weight prediction using machine learning;devi;Mater Today Proc,2021

5. Permission based malware protection model for Android application;hein,0

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