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A comprehensive review of mobile botnet detection using genetic algorithm: A systematic review


Article Information

Title: A comprehensive review of mobile botnet detection using genetic algorithm: A systematic review

Authors: Muhammad Zuhair bin Abd Rahman, Madihah binti Mohd Saudi, Nurlida binti Basir

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 3

Language: English

Categories

Abstract

Nowadays, mobile botnet is considered as one of the biggest cyber threats attacking the smartphones especially on the Android platform. The loss of money, confidential information and productivity due to mobile botnet attacks to the smartphones, have triggered the formation of this research paper. This research paper presents a comprehensive review on the existing techniques in mobile botnet detection. A comparison with the existing works related with mobile detection techniques is further investigated and evaluated. Furthermore, this research paper explores the possibilities to integrate the genetic algorithm in mobile botnet detection to optimize the detection rate. Based on the comprehensive review made, it has been identified that the genetic algorithm is offering a promising result for a higher mobile.


Paper summary is not available for this article yet.

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