Implementation of Intrusion Detection System in the Internet of Things: A Survey

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Abstract

The Internet of Things (IoT) is a precipitously evolving technology. In which interconnected computing devices and sensors share data over the network to decipher different problems and deliver new services. Medical treatment, control devices remotely, and machine to machine interaction, etc., are services for users without human collaboration. Despite of having many advantages it also has some disadvantages, Security is one of them. There are many techniques used to preclude IoT from several attacks Intrusion Detection System (IDS) is one of them. IDS is one of the most original and well-organized methods that can protect IoT devices from invaders and detect their attack with high accuracy. This study discussed and briefly explained numerous kinds of attacks like DDoS/DoS, hello flood and Sybil attack, etc., and also anticipated different kinds of IDS approaches like Machine Learning, SDN, and Automata-based IDS that can be beneficial for the prevention and detection of IoT devices from attacks.

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Zaman, S., Tauqeer, H., Ahmad, W., Shah, S. M. A., & Ilyas, M. (2020). Implementation of Intrusion Detection System in the Internet of Things: A Survey. In Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INMIC50486.2020.9318047

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