Tài liệu tham khảo |
Loại |
Chi tiết |
[1] Anderson, "J.P. Computer Security Threat Monitoring and Surveillance, " Technical Report; James P. Anderson Company: Philadelphia, PA, USA, 1980 |
Sách, tạp chí |
Tiêu đề: |
J.P. Computer Security Threat Monitoring and Surveillance |
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[2] Michie, D.; Spiegelhalter, D.J.; Taylor, "C. Machine Learning, Neurall and Statistical Classification, " pp. Ellis Horwood Series in Artificial Intelligence: New York, NY, USA, Volume 13, 1994 |
Sách, tạp chí |
Tiêu đề: |
C. Machine Learning, Neurall and Statistical Classification |
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[4] S. G. J. e. a. Guanghui, "An Intrusion Detection Method Based on, " in Network Computing and Information, Security (NCIS), 2011 International Conference on |
Sách, tạp chí |
Tiêu đề: |
An Intrusion Detection Method Based on |
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[5] Z. K. Y. e. a. Guiling, "An Improvement of Payload - Based Intrusion Detection Using Fuzzy Support Vector Machine, " in . Intelligent Systems and Applications (ISA),, 2010 |
Sách, tạp chí |
Tiêu đề: |
An Improvement of Payload - Based Intrusion Detection Using Fuzzy Support Vector Machine |
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[12] A. O. S. v. L. S. O. E. K. Viegas, " “Toward a reliable anomaly - based intrusion detection in real - world environments”, Comput. Networks, vol. 127, pp. 200 - 216, 2017." |
Sách, tạp chí |
Tiêu đề: |
“Toward a reliable anomaly - based intrusion detection in real - world environments |
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[13] M. A. v. M. B. Y. S. Aljawarneh, " “Anomaly - based intrusion detection system through feature selection analysis and building hybrid efficient model”, J. Comput. Sci., vol. 25, pp. 152 - 160, 2018." |
Sách, tạp chí |
Tiêu đề: |
“Anomaly - based intrusion detection system through feature selection analysis and building hybrid efficient model |
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[14] A. H. L. a. A. A. G. I. Sharafaldin, ", “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, Proc. 4th Int. Conf. Inf. Syst. Secur.Priv., no. Cic, pp. 108 - 116, 2018" |
Sách, tạp chí |
Tiêu đề: |
“Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization |
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[15] N. M. a. J. Slay, " “UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)”, 2015 Mil. Commun. Inf. Syst.Conf., no. November, pp. 1 - 6, 2015" |
Sách, tạp chí |
Tiêu đề: |
“UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) |
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[16] S. Raschka, "“Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning, ” arXiv:1811.12808v2 [cs.LG] 3 Dec 2018, 2018." |
Sách, tạp chí |
Tiêu đề: |
“Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning |
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[17] R. P. E. v. N. F. F. Ebecken, "“On extending F-Measure and G - mean metrics to multi - class problems, ” trong WIT Transactions on Information and Communication Technologies, 2005." |
Sách, tạp chí |
Tiêu đề: |
“On extending F-Measure and G - mean metrics to multi - class problems |
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[19] T. V. L. Tô Trọng Tín, "Cải thiện khả năng phát hiện tấn công mạng bằng kỹ thuật học sâu, " Tạp chí Khoa học và Công nghệ, 2018 |
Sách, tạp chí |
Tiêu đề: |
Cải thiện khả năng phát hiện tấn công mạng bằng kỹ thuật học sâu |
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[20] E. Z. A. P. - B. v. G. W. I. Syarif, " “Application of Bagging, Boosting and Stacking to Intrusion Detection, ” trong International Workshop on Machine Learning and Data Mining in Pattern Recognition, 2012." |
Sách, tạp chí |
Tiêu đề: |
“Application of Bagging, Boosting and Stacking to Intrusion Detection |
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[21] Y. M. v. L. F. Kwok, " “Enhancing false alarm reduction using voted ensemble selection in intrusion detection, ” International Journal of Computational Intelligence Systems, tập 6, pp. 626 - 638, 2013." |
Sách, tạp chí |
Tiêu đề: |
“Enhancing false alarm reduction using voted ensemble selection in intrusion detection |
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[6] "Vincent, P.; Larochelle, H.; Bengio, Y.; Manzagol, P.A. Extracting and composing robust features with denoising autoencoders. In Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland, 5 - 9 July 2008, pp. 1096 - 1103" |
Khác |
|
[7] P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio and Manzagol, " P.A. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 2010, 11, 3371 - 3408." |
Khác |
|
[8] J. Deng, Z. Zhang, E. Marchi and Schuller, "B. Sparse autoencoder - based feature transfer learning for speech emotion recognition. In Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, Geneva, Switz" |
Khác |
|
[9] A. Sharif Razavian, H. Azizpour, J. Sullivan and Carlsson, "S. CNN features off - the - shelf: An astounding baseline for recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Columbus, OH, USA, 23 - 28 June 201" |
Khác |
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[10] A. Krizhevsky, I. Sutskever and G. Hinton, "Imagenet classification with deep convolutional neural networks. In Proceedings of the 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, NV, USA, 3 - 6 December 2012; pp. 1097 - 1105. [Cr" |
Khác |
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[11] S. Lawrence, C. Giles, A. Tsoi and Back, ", A.D. Face recognition: A convolutional neural - network approach. IEEE Trans. Neural Netw. 1997, 8, 98 - 113." |
Khác |
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[18] T. V. L. H. T. Hoàng Ngọc Thanh, "Một tiếp cận máy học để kiểu tấn công các kiểu tấn công trong hệ thống phát hiện xâm nhập, Kỷ yếu Hội nghị Quốc gia lần thứ IX về Nghiên cứu cơ bản và Ứng dụng Công nghệ thông tin, - FAIR'2016, Cần Thơ, 04 - 05/8/2016, ISBN: 978 - 604 - 913 - 472 - 2" |
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