Enhanced Network Intrusion Detection System Protocol for
Internet of Things

D 2020

Enhanced Network Intrusion Detection System Protocol for Internet of Things

MBAREK, Bacem, Mouzhi GE and Tomáš PITNER

Basic information

Original name

Enhanced Network Intrusion Detection System Protocol for Internet of Things

Authors

MBAREK, Bacem (788 Tunisia, belonging to the institution), Mouzhi GE (156 China, belonging to the institution) and Tomáš PITNER (203 Czech Republic, guarantor, belonging to the institution)

Edition

Brno, Czech Republic, Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing, p. 1156-1163, 8 pp. 2020

Publisher

ACM Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/20:00115140

Organization unit

Faculty of Informatics

ISBN

978-1-4503-6866-7

DOI

http://dx.doi.org/10.1145/3341105.3373867

UT WoS

000569720900166

Keywords in English

Internet of Things; Network protocol; Security; Intrusion detection systems; Replica detection; Clone attacks

Abstract

V originále

With the emergence of the Internet of Things (IoT), different IoT nodes such as 6LoWPAN devices can be connected as a network to provide integrated services. Since security and intrusion detection are becoming crucial among IoT devices, real-time detection of the attacks are critical to protect the IoT networks. However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. This paper therefore proposes a new NIDS protocol with an efficient replica detection algorithm to increase the utility and performance of existing NIDS, where a number of replica test nodes are intentionally inserted into the network to test the reliability and response of witness nodes. The proposed protocol, Enhanced NIDS, can address the vulnerability of NIDS and improve IoT network security to detect severe compromise attacks such as clone attacks. The simulation study shows that compared to the state-of-the-art SVELTE protocol, the proposed protocol can significantly increase the detection probability and reduce the energy consumption for detecting clone attacks in IoT networks.

Citovat

MBAREK, Bacem, Mouzhi GE and Tomáš PITNER. Enhanced Network Intrusion Detection System Protocol for Internet of Things. Online. In Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing. Brno, Czech Republic: ACM Publishing, 2020, p. 1156-1163. ISBN 978-1-4503-6866-7. Available from: https://dx.doi.org/10.1145/3341105.3373867.

@inproceedings{1586937,
   author = {Mbarek, Bacem and Ge, Mouzhi and Pitner, Tomáš},
   address = {Brno, Czech Republic},
   booktitle = {Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing},
   doi = {http://dx.doi.org/10.1145/3341105.3373867},
   keywords = {Internet of Things; Network protocol; Security; Intrusion detection systems; Replica detection; Clone attacks},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brno, Czech Republic},
   isbn = {978-1-4503-6866-7},
   pages = {1156-1163},
   publisher = {ACM Publishing},
   title = {Enhanced Network Intrusion Detection System Protocol for Internet of Things},
   year = {2020}
}

TY  - JOUR
ID  - 1586937
AU  - Mbarek, Bacem - Ge, Mouzhi - Pitner, Tomáš
PY  - 2020
TI  - Enhanced Network Intrusion Detection System Protocol for Internet of Things
PB  - ACM Publishing
CY  - Brno, Czech Republic
SN  - 9781450368667
KW  - Internet of Things
KW  - Network protocol
KW  - Security
KW  - Intrusion detection systems
KW  - Replica detection
KW  - Clone attacks
N2  - With the emergence of the Internet of Things (IoT), different IoT nodes such as 6LoWPAN devices can be connected as a network to provide integrated services. Since security and intrusion detection are becoming crucial among IoT devices, real-time detection of the attacks are critical to protect the IoT networks. However, there exists limited research for efficient network intrusion detection systems (NIDS) in the IoT networks. This paper therefore proposes a new NIDS protocol with an efficient replica detection algorithm to increase the utility and performance of existing NIDS, where a number of replica test nodes are intentionally inserted into the network to test the reliability and response of witness nodes. The proposed protocol, Enhanced NIDS, can address the vulnerability of NIDS and improve IoT network security to detect severe compromise attacks such as clone attacks. The simulation study shows that compared to the state-of-the-art SVELTE protocol, the proposed protocol can significantly increase the detection probability and reduce the energy consumption for detecting clone attacks in IoT networks.
ER  -

MBAREK, Bacem, Mouzhi GE and Tomáš PITNER. Enhanced Network Intrusion Detection System Protocol for Internet of Things. Online. In \textit{Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing}. Brno, Czech Republic: ACM Publishing, 2020, p.~1156-1163. ISBN~978-1-4503-6866-7. Available from: https://dx.doi.org/10.1145/3341105.3373867.

Detailed Information on Publication Record