Open AccessEnergy Adaptive Intrusion Detection System for Energy Harvesting IoT
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d1131.1284s219
Subject(s) - 6lowpan , computer science , internet of things , intrusion detection system , energy harvesting , wireless sensor network , energy (signal processing) , enhanced data rates for gsm evolution , computer network , the internet , computer security , ipv6 , telecommunications , world wide web , statistics , mathematics
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.