An Adaptive Anti-jamming System in HyperLedger-based Wireless Sensor Networks

MBAREK, Bacem, Mouzhi GE and Tomáš PITNER. An Adaptive Anti-jamming System in HyperLedger-based Wireless Sensor Networks. Wireless Networks. SPRINGER, 2022, vol. 28, No 2, p. 691-703. ISSN 1022-0038. Available from: https://dx.doi.org/10.1007/s11276-022-02886-1.

Basic information

• Original name: An Adaptive Anti-jamming System in HyperLedger-based Wireless Sensor Networks
• Authors: MBAREK, Bacem (788 Tunisia, belonging to the institution), Mouzhi GE (156 China) and Tomáš PITNER (203 Czech Republic, belonging to the institution).
• Edition: Wireless Networks, SPRINGER, 2022, 1022-0038.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10200 1.2 Computer and information sciences
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• WWW: Springer link
• Impact factor: Impact factor: 3.000
• RIV identification code: RIV/00216224:14330/22:00125116
• Organization unit: Faculty of Informatics
• Doi: http://dx.doi.org/10.1007/s11276-022-02886-1
• UT WoS: 000744749300001
• Keywords in English: Jamming attack; Wireless sensor networks; Data communications; Collaborative healthcare
• Tags: International impact, Reviewed

Abstract

Using new methodologies such as Blockchain in data communications in wireless sensor networks (WSN) has emerged owing to the proliferation of collaborative technologies. However, the WSN is still vulnerable to denial of service cyber attacks, in which jamming attack becomes prevalent in blocking data communications in WSN. The jamming attack launches malicious sensor nodes to block legitimate data communications by intentional interference. This can in turn cause monitoring disruptions, data loss and other safety-critical issues. In order to address the malicious attacks, this paper proposes an adaptive anti-jamming solution based on Hyperledger Fabric-based Blockchain, named as ABAS, to ensure the reliability and adaptivity of data communication in case of jamming attacks. In order to validate the ABAS solution, we applied the algorithm in healthcare WSN and showed that ABAS has significantly reduce the jamming coverage and energy consumption while maintaining high computational performance.