Detailed Information on Publication Record
2022
An Adaptive Anti-jamming System in HyperLedger-based Wireless Sensor Networks
MBAREK, Bacem, Mouzhi GE and Tomáš PITNERBasic 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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.000
RIV identification code
RIV/00216224:14330/22:00125116
Organization unit
Faculty of Informatics
UT WoS
000744749300001
Keywords in English
Jamming attack; Wireless sensor networks; Data communications; Collaborative healthcare
Tags
International impact, Reviewed
Změněno: 28/3/2023 09:57, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.