An intrusion detection approach based on improved deep belief network

Author:

Tian Qiuting,Han Dezhi,Li Kuan-ChingORCID,Liu Xingao,Duan Letian,Castiglione Arcangelo

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference45 articles.

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2. No municipality paid ransoms in 'coordinated ransomware attack' that hit Texas. [Online]. Available: https://www.zdnet.com/article/no-municipality-paid-ransoms-in-coordinated-ransomware-attack-that-hit-texas/ (Accessed Aug 6, 2019)

3. Dai Y, Wang G, Li KC (2018) Conceptual alignment deep neural networks[J]. Journal of Intelligent & Fuzzy Systems 34(3):1631–1642

4. Song H, Jiang Z, Men A, et al. A hybrid semi-supervised anomaly detection model for high-dimensional data[J]. Computational intelligence and neuroscience, 2017, 2017

5. Zhao Z, Jiao L, Zhao J et al (2017) Discriminant deep belief network for high-resolution SAR image classification[J]. Pattern Recogn 61:686–701

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