Proactive Trust Classification for Detection of Replication
Attacks in 6LoWPAN-based IoT

J 2021

Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER

Základní údaje

Originální název

Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT

Autoři

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

Vydání

Internet of Things; Engineering Cyber Physical Human Systems, ELSEVIER, 2021, 2543-1536

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

ScienceDirect

Impakt faktor

Impact factor: 5.711

Kód RIV

RIV/00216224:14330/21:00122050

Organizační jednotka

Fakulta informatiky

DOI

http://dx.doi.org/10.1016/j.iot.2021.100442

UT WoS

000723420400014

Klíčová slova anglicky

Internet of Things; Detection strategy; Trust in IoT; Replication attack; 6LoWPAN

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 5. 2022 14:55, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

The 6LoWPAN standard has been widely applied in different Internet of Things (IoT) application domains. However, since the nodes in the IoT are mostly resource constrained, 6LoWPAN is vulnerable to a variety of security attacks. Among others, replication attack is one of the severe security threads to IoT networks. This paper therefore proposes a trust-based detection strategy against replication attacks in IoT, where a number of replica nodes are intentionally inserted into the network to test the reliability and response of witness nodes. We further assess the feasibility of the proposed detection strategy and compare with two other strategies such as brute-force and first visited strategy via a thorough simulation. The evaluation takes into account the detection probability for compromised attacks, the execution time of transactions and rate of communication failure. The simulation results show that while maintaining detection runtime on average 60 s for up to 1000 nodes, the proposed trust-based strategy can significantly increase the detection probability to 90% on average against replication attacks and in turn significantly reduce the communication failure.

Citovat

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT. Internet of Things; Engineering Cyber Physical Human Systems. ELSEVIER, 2021, roč. 16, č. 1, s. 1-8. ISSN 2543-1536. Dostupné z: https://dx.doi.org/10.1016/j.iot.2021.100442.

@article{1785257,
   author = {Mbarek, Bacem and Ge, Mouzhi and Pitner, Tomáš},
   article_number = {1},
   doi = {http://dx.doi.org/10.1016/j.iot.2021.100442},
   keywords = {Internet of Things; Detection strategy; Trust in IoT; Replication attack; 6LoWPAN},
   language = {eng},
   issn = {2543-1536},
   journal = {Internet of Things; Engineering Cyber Physical Human Systems},
   title = {Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT},
   url = {https://www.sciencedirect.com/science/article/pii/S2542660521000858},
   volume = {16},
   year = {2021}
}

TY  - JOUR
ID  - 1785257
AU  - Mbarek, Bacem - Ge, Mouzhi - Pitner, Tomáš
PY  - 2021
TI  - Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT
JF  - Internet of Things; Engineering Cyber Physical Human Systems
VL  - 16
IS  - 1
SP  - 1-8
EP  - 1-8
PB  - ELSEVIER
SN  - 25431536
KW  - Internet of Things
KW  - Detection strategy
KW  - Trust in IoT
KW  - Replication attack
KW  - 6LoWPAN
UR  - https://www.sciencedirect.com/science/article/pii/S2542660521000858
N2  - The 6LoWPAN standard has been widely applied in different Internet of Things (IoT) application domains. However, since the nodes in the IoT are mostly resource constrained, 6LoWPAN is vulnerable to a variety of security attacks. Among others, replication attack is one of the severe security threads to IoT networks. This paper therefore proposes a trust-based detection strategy against replication attacks in IoT, where a number of replica nodes are intentionally inserted into the network to test the reliability and response of witness nodes. We further assess the feasibility of the proposed detection strategy and compare with two other strategies such as brute-force and first visited strategy via a thorough simulation. The evaluation takes into account the detection probability for compromised attacks, the execution time of transactions and rate of communication failure. The simulation results show that while maintaining detection runtime on average 60 s for up to 1000 nodes, the proposed trust-based strategy can significantly increase the detection probability to 90% on average against replication attacks and in turn significantly reduce the communication failure.
ER  -

MBAREK, Bacem, Mouzhi GE a Tomáš PITNER. Proactive Trust Classification for Detection of Replication Attacks in 6LoWPAN-based IoT. \textit{Internet of Things; Engineering Cyber Physical Human Systems}. ELSEVIER, 2021, roč.~16, č.~1, s.~1-8. ISSN~2543-1536. Dostupné z: https://dx.doi.org/10.1016/j.iot.2021.100442.

Podrobný výpis o publikaci