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.
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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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
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
Tags firank_A
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/5/2021 09:49.
Abstract
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.
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