Abstract
The Internet of Things (IoT) is very successful in different fields: industry, health, logistics, smart cities, smart home. Despite this success, this new technology suffers from a big security problem. Much of this problem is due to the constraints of connected objects (Memory, Processing Capabilities and limited energy …) that are the cause of various attacks, mainly denial of service attacks (DOS/DDOS). In this paper we propose the implementation and evaluation of a system of intrusion detection DOS attacks, based on the verification of the abnormal use of the energy consumption of connected objects in IoT environments. The implementation of the proposed algorithm is carried out in the Contiki-Coja environment and simulation results indicate that denial-of-service attacks can be detected with high accuracy, while keeping the number of false-positives very low.
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Bamou, A., Khardioui, M., El Ouadghiri, M.D., Aghoutane, B. (2020). Implementing and Evaluating an Intrusion Detection System for Denial of Service Attacks in IoT Environments. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Lecture Notes in Networks and Systems, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-030-33103-0_17
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