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Volume 42 Issue 10
Oct.  2020
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Tengyao LI, Buhong WANG, Fute SHANG, Jiwei TIAN, Kunrui CAO. A Resilient Recovery Method on ADS-B Attack Data[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2365-2373. doi: 10.11999/JEIT191020
Citation: Tengyao LI, Buhong WANG, Fute SHANG, Jiwei TIAN, Kunrui CAO. A Resilient Recovery Method on ADS-B Attack Data[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2365-2373. doi: 10.11999/JEIT191020

A Resilient Recovery Method on ADS-B Attack Data

doi: 10.11999/JEIT191020
Funds:  The National Natural Science Foundation of China (61902426)
  • Received Date: 2019-12-23
  • Rev Recd Date: 2020-05-22
  • Available Online: 2020-07-21
  • Publish Date: 2020-10-13
  • In order to conduct effective resilient recovery on Automatic Dependent Surveillance-Broadcast (ADS-B) attack data and ensure the continuous availability of air traffic situation awareness, a resilient recovery method on ADS-B attack data is proposed. Based on attack detection strategies, the measurement and prediction sequences of ADS-B data are obtained to set up deviation data, differential data and neighbor density data sequences, which are designed to construct recovery vectors, mine the temporal correlations and the spatial correlations respectively. The selected data sequences are integrated to accomplish the whole recovery method and decide the end point of recovery. The method is applied to elinimating attack effects and recovering the attack data towards normal data. According to the results of experiments on six classical attack patterns, the proposed method is effective on recovering attack data and eliminating the attack impacts.
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