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Smart Devices Threats, Vulnerabilities and Malware Detection Approaches: A Survey

Author

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  • BalaGanesh D

    (Lincoln University College, Klena Jaya, Petaling Jaya, Selangor, Malaysia)

  • Amlan Chakrabarti

    (Lincoln University College, Klena Jaya, Petaling Jaya, Selangor, Malaysia)

  • Divya Midhunchakkaravarthy

    (Lincoln University College, Klena Jaya, Petaling Jaya, Selangor, Malaysia)

Abstract

In recent times, malware detection mechanism systems of mobile smart devices are getting growing concentration from researchers. With the quick expansion of malwares found in mobile devices, preventing the secrecy of mobile users is incredibly imperative and necessary. Intrusion detection systems are programming devices that consequently assemble information, dissect it and recognize such occurrences. These systems advanced to intrusion aversion systems (IPS) including extra counteractive action capacities. In Intrusion detection systems, accuracy rate plays a significant role in measuring the effectiveness of an approach. One of the motivations of this study is to increase the true positive as well as reducing the false-positive rates beyond other studies.

Suggested Citation

  • BalaGanesh D & Amlan Chakrabarti & Divya Midhunchakkaravarthy, 2018. "Smart Devices Threats, Vulnerabilities and Malware Detection Approaches: A Survey," European Journal of Engineering and Technology Research, European Open Science, vol. 3(2), pages 7-12, February.
    • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:2:id:60302
    DOI: 10.24018/ejeng.2018.3.2.302
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