Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244287" target="_blank" >RIV/61989100:27240/19:10244287 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-13-8311-3_28" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-13-8311-3_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-13-8311-3_28" target="_blank" >10.1007/978-981-13-8311-3_28</a>
Alternative languages
Result language
angličtina
Original language name
Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks
Original language description
Wireless sensor and actuator networks are essential components of modern technologies and infrastructures for smart homes and cities, intelligent transportation systems, advanced manufacturing, Internet of things and, for example, fog and edge computing. Cybersecurity of such massively distributed systems is becoming a major issue, and advanced methods to improve their safety and reliability are needed. Intrusion detection systems automatically identifymalicious network traffic, uncover cybernetic attacks and notify network users and operators. In this work, a novel strategy for intrusion detection in wireless sensor networks based on accurate neural models of specific attacks learned from network traffic data is proposed and evaluated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Smart Innovation, Systems and Technologies. Volume 142
ISBN
978-981-13-8310-6
ISSN
2190-3018
e-ISSN
2190-3026
Number of pages
11
Pages from-to
323-333
Publisher name
Springer
Place of publication
Singapur
Event location
St. Julian
Event date
Jun 17, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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