Precisional Detection Strategy for 6LoWPAN Networks in IoT

D 2022

Precisional Detection Strategy for 6LoWPAN Networks in IoT

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER

Základní údaje

Originální název

Precisional Detection Strategy for 6LoWPAN Networks in IoT

Autoři

MBAREK, Bacem (788 Tunisko, domácí), Mouzhi GE (156 Čína) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Prague, International Conference on Systems, Man, and Cybernetics (SMC, od s. 1006-1011, 6 s. 2022

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/22:00126779

Organizační jednotka

Fakulta informatiky

ISBN

978-1-6654-5258-8

ISSN

DOI

http://dx.doi.org/10.1109/SMC53654.2022.9945346

Klíčová slova anglicky

IoT; Network; 6LoWPAN; Security; Intrusion Detection.

Štítky

core_B, firank_A

Změněno: 18. 3. 2023 16:32, Bacem Mbarek, PhD

Anotace

V originále

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.

Citovat

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Precisional Detection Strategy for 6LoWPAN Networks in IoT. Online. In Vladimír Mařík; Dimitar Filev; Mengchu Zhou; Edward Tunsel; Edward Tunsel. International Conference on Systems, Man, and Cybernetics (SMC. Prague: IEEE, 2022, s. 1006-1011. ISBN 978-1-6654-5258-8. Dostupné z: https://dx.doi.org/10.1109/SMC53654.2022.9945346.

@inproceedings{2221277,
   author = {Mbarek, Bacem and Ge, Mouzhi and Pitner, Tomáš},
   address = {Prague},
   booktitle = {International Conference on Systems, Man, and Cybernetics (SMC},
   doi = {http://dx.doi.org/10.1109/SMC53654.2022.9945346},
   editor = {Vladimír Mařík; Dimitar Filev; Mengchu Zhou; Edward Tunsel; Edward Tunsel},
   keywords = {IoT; Network; 6LoWPAN; Security; Intrusion Detection.},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Prague},
   isbn = {978-1-6654-5258-8},
   pages = {1006-1011},
   publisher = {IEEE},
   title = {Precisional Detection Strategy for 6LoWPAN Networks in IoT},
   url = {https://ieeexplore.ieee.org/abstract/document/9945346},
   year = {2022}
}

TY  - JOUR
ID  - 2221277
AU  - Mbarek, Bacem - Ge, Mouzhi - Pitner, Tomáš
PY  - 2022
TI  - Precisional Detection Strategy for 6LoWPAN Networks in IoT
PB  - IEEE
CY  - Prague
SN  - 9781665452588
KW  - IoT
KW  - Network
KW  - 6LoWPAN
KW  - Security
KW  - Intrusion Detection.
UR  - https://ieeexplore.ieee.org/abstract/document/9945346
N2  - 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.
ER  -

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Precisional Detection Strategy for 6LoWPAN Networks in IoT. Online. In Vladimír Mařík; Dimitar Filev; Mengchu Zhou; Edward Tunsel; Edward Tunsel. \textit{International Conference on Systems, Man, and Cybernetics (SMC}. Prague: IEEE, 2022, s.~1006-1011. ISBN~978-1-6654-5258-8. Dostupné z: https://dx.doi.org/10.1109/SMC53654.2022.9945346.

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