Malware detection for Android application using Aquila optimizer and Hybrid LSTM-SVM classifier

Grace, M.; Sughasiny, M.

Malware detection for Android application using Aquila optimizer and Hybrid LSTM-SVM classifier

Grace, M. and Sughasiny, M. (2022) Malware detection for Android application using Aquila optimizer and Hybrid LSTM-SVM classifier. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

INTRODUCTION: Android OS is the most recent used smartphone platform in the world that occupies about 80% in share market. In google play store, there are 3.48 million apps available for downloading. Unfortunately, the growth rate of malicious apps in google play store and third party app store has

Item Type:	Article
Date Deposited:	04 Mar 2026 15:45
Last Modified:	17 Apr 2026 04:50
URI:	http://eprints.eai.eu/id/eprint/40709

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