A Novel Anti-Jamming Decision-Making Algorithm Based on Knowledge Graph Technology

Wireless communications are increasingly vulnerable to malicious jamming attacks due to the inherent openness and broadcast nature. In this regard, a novel anti-jamming scheme based on knowledge graph is proposed in this paper, where the knowledge graph which contains the prior knowledge of the comm...

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Bibliographic Details
Published in:Applied sciences 2022-05, Vol.12 (10), p.4960
Main Authors: Niu, Yingtao, Feng, Xijin, Kou, Shaoqin, Xiang, Peng
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
anti-jamming decision-making
Artificial intelligence
communication anti-jamming
Communications systems
Decision making
Frequency domain analysis
Jamming
knowledge graph
Knowledge management
Knowledge representation
Machine learning
Methods
Neural networks
Optimization algorithms
Set theory
Spread spectrum
Time-frequency analysis
time-frequency domain feature extraction
Wireless communications
Wireless networks
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Summary:Wireless communications are increasingly vulnerable to malicious jamming attacks due to the inherent openness and broadcast nature. In this regard, a novel anti-jamming scheme based on knowledge graph is proposed in this paper, where the knowledge graph which contains the prior knowledge of the commonly-used jamming patterns is utilized to make the fast anti-jamming decision with low complexity. Specifically, for the known jamming patterns, the anti-jamming strategy is directly extracted based on the search from the knowledge graph by using the sensing information. On the other hand, for the unknown jamming patterns, a time-frequency domain feature extraction method is first proposed to extract the jamming feature and match the jamming patterns in the knowledge graph. As such, multiple anti-jamming strategies can be obtained by the knowledge graph search. Finally, the optimal strategy can be achieved by the two communication decision criteria-based strategy fusion. The simulation results showed that the time-frequency domain feature extraction method can well extract the time-frequency domain feature of the jamming pattern, and the proposed algorithm has high decision accuracy and robustness.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12104960