Information Security of IoT Wireless Segment

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InProceedings{Parotkin:2018:GloSIC,

• author = "Nikolay Y. Parotkin and Vyacheslav V. Zolotarev",
• booktitle = "2018 Global Smart Industry Conference (GloSIC)",
• title = "Information Security of {IoT} Wireless Segment",
• year = "2018",
• abstract = "The most probable threats for the Internet of Things (IoT) wireless connection channel according to the classification of the Federal agency of technical and export control and Department of Homeland security were considered in the article. The analysis of standard means of IEEE 802.11 networks protection implementation in the IoT infrastructure was conducted. The description of the adopted approaches to protection, based on the open source software, was made. The task solution of optimal wireless network coverage zone planning together with signal power maximization on the IoT devices of legitimate access points by automated means, which will reduce the probability of its switch to non-authorized points in case of a re-authentication attack was considered in the frames of the first approach. A described software solves the task of multi-criteria optimization of a wireless network model, based on the user's source data, which reflect the place of network exploitation place with the help of the modified genetic programming algorithm. The results of the theoretical calculation and practical measurement of signal levels as well as the evaluation of the calculations' accordance were presented. The second approach, considered in the article, is the system of wireless segment monitoring on the single-board computer basis. It enables one to detect suspicious frames in radio air and dangerous access points according to the white list. The described System can localize and counteract the intruder's access point depending on response parameters and inform the holder about the fact and details of an incident. The advantage of the measures' complex, described in the article, is the ability of optimal installation of such a monitoring device with the coverage of all protected IoT performance zone, based on the network coverage map with the vulnerable points on the area.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/GloSIC.2018.8570144",
• month = nov,
• notes = "Also known as \cite{8570144}",

}

Genetic Programming entries for Nikolay Y Parotkin Vyacheslav V Zolotarev

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