Abstract
The anomaly data is easily disturbed by malicious third party in the information sharing or transmission process. To guarantee the safety and integrity of outlier information, a novel method of outlier information privacy preserving is proposed, namely, spatial outlier information hiding algorithm based on complex transformation. Firstly, the anomaly dataset is obtained by outlier detection algorithm. Then the two-dimensional feature data of anomaly objects is selected to construct the complex data and complex factors. Finally, the outlier information is hidden by complex transformation. The receiver receives the hidden dataset and the complex factor set, in which the hidden data can be effectively restored. The feasibility and validity of this algorithm are verified by simulation and contrast experiment.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61662013, 61362021), Natural Science Foundation of Guangxi province (2016GXNSFAA380149), the Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (2011KF11), Key Lab of Trusted Software (kx201511), Innovation Project of GUET Graduate Education (2016YJCXB02, 2017YJCX34).
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Shou, Z., Liu, A., Li, S., Cheng, X. (2017). Spatial Outlier Information Hiding Algorithm Based on Complex Transformation. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10656. Springer, Cham. https://doi.org/10.1007/978-3-319-72389-1_20
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DOI: https://doi.org/10.1007/978-3-319-72389-1_20
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