SNEL-DFF: Android malware detection using Siamese networks with ensemble learning

SNEL-DFF: Android malware detection using Siamese networks with ensemble learning

This paper proposes a new model simply known as Siamese Networks of Optimal Ensemble Learning with Deep Forest Feature (SNEL-DFF). The proposed model has the Deep Forest Feature extraction feature because of the complexity that is present in the data and to enhance the proficiency of the detection s...

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Bibliographic Details
Main Authors: Atif Raza Zaidi, Tahir Abbas, Sadaqat Ali Ramay, Tariq Shahzad, Zahid Hussain Qaisar, Muhammad Adnan Khan, Adnan Abu-Mahfouz, Amin Beheshti
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Scientific African
Subjects:
Mobile cybersecurity
Android based malware
Feature enrichment
Cascade forest
Deep ensemble learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227625002856
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