Intelligent intrusion detection system for a group of UAVs

Today, the creation of UAV groups is becoming a very popular and relevant task. Nevertheless, the use of UAVs is not securely, since they are vulnerable not only to attacks by an intruder, but also to environmental influences. Thus, the occurrence of anomalies must be detected in time. This work is...

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मुख्य लेखकों:	Lapina, M. A., Лапина, М. А.
स्वरूप:	Статья
भाषा:	English
प्रकाशित:	Springer Science and Business Media Deutschland GmbH 2021
विषय:	Intrusion detection Unmanned aerial vehicles (UAV) Swarm intelligence Aircraft detection
ऑनलाइन पहुंच:	https://dspace.ncfu.ru/handle/20.500.12258/18063
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spelling	ir-20.500.12258-180632021-09-02T10:06:51Z Intelligent intrusion detection system for a group of UAVs Lapina, M. A. Лапина, М. А. Intrusion detection Unmanned aerial vehicles (UAV) Swarm intelligence Aircraft detection Today, the creation of UAV groups is becoming a very popular and relevant task. Nevertheless, the use of UAVs is not securely, since they are vulnerable not only to attacks by an intruder, but also to environmental influences. Thus, the occurrence of anomalies must be detected in time. This work is aimed at detecting anomalies in UAV groups and determining the type of attack. To accomplish this task, the authors have developed an experimental stand emulating traffic transmission in a UAV group. The study is based on the investigation of changes in traffic transmission patterns during normal operation and under attacks. Data sets for training a neural network were collected using an developed testbed 2021-09-02T10:05:47Z 2021-09-02T10:05:47Z 2021 Статья Basan, E.; Lapina, M.; Mudruk, N.; Abramov, E. Intelligent intrusion detection system for a group of UAVs // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2021. - Том 12690 LNCS. - Стр.: 230 - 240 http://hdl.handle.net/20.500.12258/18063 en Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Intrusion detection Unmanned aerial vehicles (UAV) Swarm intelligence Aircraft detection
spellingShingle	Intrusion detection Unmanned aerial vehicles (UAV) Swarm intelligence Aircraft detection Lapina, M. A. Лапина, М. А. Intelligent intrusion detection system for a group of UAVs
description	Today, the creation of UAV groups is becoming a very popular and relevant task. Nevertheless, the use of UAVs is not securely, since they are vulnerable not only to attacks by an intruder, but also to environmental influences. Thus, the occurrence of anomalies must be detected in time. This work is aimed at detecting anomalies in UAV groups and determining the type of attack. To accomplish this task, the authors have developed an experimental stand emulating traffic transmission in a UAV group. The study is based on the investigation of changes in traffic transmission patterns during normal operation and under attacks. Data sets for training a neural network were collected using an developed testbed
format	Статья
author	Lapina, M. A. Лапина, М. А.
author_facet	Lapina, M. A. Лапина, М. А.
author_sort	Lapina, M. A.
title	Intelligent intrusion detection system for a group of UAVs
title_short	Intelligent intrusion detection system for a group of UAVs
title_full	Intelligent intrusion detection system for a group of UAVs
title_fullStr	Intelligent intrusion detection system for a group of UAVs
title_full_unstemmed	Intelligent intrusion detection system for a group of UAVs
title_sort	intelligent intrusion detection system for a group of uavs
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2021
url	https://dspace.ncfu.ru/handle/20.500.12258/18063
work_keys_str_mv	AT lapinama intelligentintrusiondetectionsystemforagroupofuavs AT lapinama intelligentintrusiondetectionsystemforagroupofuavs
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Intelligent intrusion detection system for a group of UAVs

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