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Title	Critical Review Of Various Intrusion Detection Techniques For Internet Of Things
ID_Doc	16580
Authors	Sharma P.
Year	2020
Published	2nd International Conference on Data, Engineering and Applications, IDEA 2020
DOI	http://dx.doi.org/10.1109/IDEA49133.2020.9170732
Abstract	Technology is rapidly moving towards the systems enabling maximum comfort to human being. IoT scenario has evolved into a technology for developing such comfortable eco system and became popular day by day, and at the point of attraction for the researchers world-wide who are involved in developing technology for creating comfortable and sustainable eco system for human being. Now a days IoT has shown a strong technological presence globally which embraced humanity in many ways, spread from home automation, smart city, industry and healthcare. These applications is endless and imaginable. A number of challenges and issues perceived by the system in which security and privacy are key issues. This security and vulnerability in IoT based system implies security threats which affects the overall performance of the system. In majority system related attacks could be addressed by an effective Intrusion detection system (IDS). Due to limited resources like computing, energy, storage and specially designed protocols for operations, common Intrusion detection system those are well suited for conventional network are not enough for the intrusion detection in IoT. A well designed mechanism is needed for addressing the specific challenges and issues IoT faces. This paper surveys some suitable mechanism designed for detection of intrusions in an IoT system. As a result of the survey, this paper highlights the various issues and challenges associated with IDS of IOT © 2020 IEEE.
Author Keywords	Anomaly Detection; Cyber-attack; Internet of things; Intrusion Detection System; Machine Learning

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