Design of Low Power Artificial Intelligence Model for Resilience of IoT Devices
Ashwini. S1, P. Shanmuga Prabha2, S. Magesh Kumar3
1Ashwini. S, Assistant Professor, Department of Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
2P. Shanmuga Prabha, Assistant Professor, Department of Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
3S. Magesh Kumar, Associate Professor, Department of Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
Manuscript received on 03 October 2019 | Revised Manuscript received on 12 October 2019 | Manuscript Published on 22 October 2019 | PP: 620-624 | Volume-8 Issue-3S October 2019 | Retrieval Number: C11241083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1124.1083S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet users are keep on increasing every day and may reach billions and billions of users in the next year, the users of android mobiles for connecting their utilities with internet making them saving their time and allow fast and precise data transmission. Most of the communication, entertainment, medical, health, life and educational activities are showcased into the internet to increase the market place better. The increase in android users may also increase the lack of security on our personal data which is saved in the cloud. The study is focused on most of the devices connected with IoT and their decision making capability on sensible things like real word sensor data or malwares etc. The methodologies user in the industry to safeguard the data, the techniques involved in the detection of malwares etc. The study also motivate us to find out the extendable research focus on Resilient management in IoT devices during malware detection.
Keywords: IoT Devices, Security in IoT Devices, Malware Detection, Artificial Intelligence, Algorithms.
Scope of the Article: IoT