Precisional Detection Strategy for 6LoWPAN Networks in IoT

MBAREK, Bacem, Mouzhi GE and 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, p. 1006-1011. ISBN 978-1-6654-5258-8. Available from: https://dx.doi.org/10.1109/SMC53654.2022.9945346.

Basic information

• Original name: Precisional Detection Strategy for 6LoWPAN Networks in IoT
• Authors: MBAREK, Bacem (788 Tunisia, belonging to the institution), Mouzhi GE (156 China) and Tomáš PITNER (203 Czech Republic, belonging to the institution).
• Edition: Prague, International Conference on Systems, Man, and Cybernetics (SMC, p. 1006-1011, 6 pp. 2022.
• Publisher: IEEE

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14330/22:00126779
• Organization unit: Faculty of Informatics
• ISBN: 978-1-6654-5258-8
• ISSN: 1062-922X
• Doi: http://dx.doi.org/10.1109/SMC53654.2022.9945346
• Keywords in English: IoT; Network; 6LoWPAN; Security; Intrusion Detection.
• Tags: firank_A

Abstract

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.