Precisional Detection Strategy for 6LoWPAN Networks in IoT

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126779" target="_blank" >RIV/00216224:14330/22:00126779 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/SMC53654.2022.9945346" target="_blank" >http://dx.doi.org/10.1109/SMC53654.2022.9945346</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SMC53654.2022.9945346" target="_blank" >10.1109/SMC53654.2022.9945346</a>

Result language

angličtina

Original language name

Precisional Detection Strategy for 6LoWPAN Networks in IoT

Original language description

With the rapid development of the Internet of Things (IoT), a large amount of data is exchanged between various communicating devices. Since the data should be communicated securely between the communicating devices, the network security is one of the dominant research areas for the 6LoWPAN IoT applications. Meanwhile, 6LoWPAN devices are vulnerable to attacks inherited from both the wireless sensor networks and the Internet protocols. Thus intrusion detection systems have become more and more critical and play a noteworthy role in improving the 6LoWPAN IoT networks. However, most intrusion detection systems focus on the attacked areas in the IoT networks instead of precisely on certain IoT nodes. This may lead more resources to further detect the compromised nodes or waste resources when detaching the whole attacked area. In this paper, we therefore proposed a new precisional detection strategy for 6LoWPAN Networks, named as PDS-6LoWPAN. In order to validate the strategy,we evaluate the performance and applicability of our solution with a thorough simulation by taking into account the detection accuracy and the detection response time.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Conference on Systems, Man, and Cybernetics (SMC

ISBN

9781665452588

ISSN

1062-922X

e-ISSN

—

Number of pages

6

Pages from-to

1006-1011

Publisher name

IEEE

Place of publication

Prague

Event location

Prague

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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