Energy Adaptive Intrusion Detection System for Energy Harvesting IoT
S. Prabavathy1, J. S. Kanchana2
1Dr. S. Prabavathy, Department of IT, G. Narayanamma Institute of Technology & Science, Hyderabad (Telangana), India.
2Dr. J. S. Kanchana, Department of IT, KLN, College of Engineering, Madurai (Tamil Nadu), India.
Manuscript received on 02 December 2019 | Revised Manuscript received on 20 December 2019 | Manuscript Published on 31 December 2019 | PP: 629-635 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D11311284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1131.1284S219
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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 of Things (IoT) is an emerging technology that makes network of physical objects which can identify, communicate and share information through Internet. The edge of IoT network are mostly simple sensors. The success of the IoT application depends on the quality of sensor data at the right time, this leads to the requirement of IoT devices be long term, self-sustaining and have the ability to harvest their required energy from deployed environment. Such devices incur additional security challenges because of prolonged life time and change in the life cycle of devices. A novel intrusion detection system is designed for energy harvesting 6LoWPAN based IoT network considering the energy scavenging characteristics of devices in addition to conventional IoT. The simulation results confirm that the proposed intrusion detection system is efficient and accurate in detecting the attacks.
Keywords: Energy Harvesting, Intrusion Detection System, Internet of Things, 6LoWPAN, RPL.
Scope of the Article: IoT