Abstract
This article discusses the problem of increasing the resistance to attack by an attacker of a mobile robot groups. The study is limited to the Sibyl attacks and distributed denial of service. An attacker affects the network by sending a large number of packets, or by redirecting the impact on himself. An attacker influences the availability of a group of mobile robots by exerting this impact. This is reflected in the fact that the unit’s battery becomes exhausted quickly. Nodes constantly remain in the active mode, receive packets of an attacker and respond to them. This affects the power consumption of the mobile robot. And also, the attacker also affects the network bandwidth. An attacker blocks useful network traffic by sending a large number of packets to the network and flooding it with requests. Due to congestion of wireless communication channels, collisions and queues of packets may occur, and useful packets with important information can be dropped by mobile robots. The developed method for detecting and blocking malicious nodes is based on an analysis of the parameters of the residual energy and the number of sent/received/redirected/dropped network packets. It is possible to identify a node that demonstrates abnormal behavior by analyzing the degree of deviation of these indicators of each mobile robot relative to the indices of the robot group. Probabilistic methods and methods of mathematical statistics are used for the proposed analysis.
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Acknowledgment
This research was carried out in the grant of the Ministry of Education and Science of the Russian Federation Initiative scientific projects No. 2.6244.2017/8.9 on the topic “Developing a method for detecting attacks and intrusions, a method for authenticating nodes for a scalable wireless sensor network”.
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Basan, A., Basan, E., Makarevich, O. (2019). Method of Detecting and Blocking an Attacker in a Group of Mobile Robots. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_36
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