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Bidirectional long short-term memory classifier assist for intelligent ransomware detection in Android OS

Research output: Contribution to journalConference articlepeer-review

Abstract

A precise description of an invented, complementary method for android's system security is presented in this study. I have created such a system in order to provide casual smartphone users with a useful tool to prevent the ransomware type attacks. With the purpose of obtaining a satisfying outcome, I used BiLSTM and a optimizing algorithm NAdam. I managed to receive a system's accuracy up to over 93% therefore creating a prospectS of complementing the existing security system especially when it is not clear whether a certain application program is safe.

Original languageEnglish
Pages (from-to)45-53
Number of pages9
JournalCEUR Workshop Proceedings
Volume2915
Publication statusPublished - 2021
Event26th International Conference on Information Society and University Studies, IVUS 2021 - Kaunas, Lithuania
Duration: 23 Apr 2021 → …

Keywords

  • Artificial Intelligence
  • Bidirectional LSTM
  • Cybersecurity
  • Deep Learning
  • Ransomware

ASJC Scopus subject areas

  • General Computer Science

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