Android Malware Classification with Feature Selection using Artificial Bee Colony Algorithm

Anthony Obogo Otiko; Gabriel Akibi Iyang

doi:10.2139/ssrn.5293728

ScienceGate Book Chapters

JOURNAL ARTICLE

Android Malware Classification with Feature Selection using Artificial Bee Colony Algorithm

Anthony Obogo Otiko Gabriel Akibi Iyang

Year: 2025 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.5293728

Get Full-Text PDF Get Analytical Report

Keywords:

Android malware Feature selection Malware Computer science Artificial bee colony algorithm Artificial intelligence Android (operating system) Machine learning Pattern recognition (psychology) Operating system

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Android Malware Classification with Feature Selection using Artificial Bee Colony Algorithm

Metrics

Topics

Related Documents

Android Malware Classification with Feature Selection using Artificial Bee Colony Algorithm

Android Malware Detection Using Genetic Algorithm-Based Feature Selection

Classification of Android Malware Applications using Feature Selection and Classification Algorithms

Feature selection using Artificial Bee Colony algorithm for medical image classification

Transformer-based Android Malware Classification using Multi-stage Feature Selection