Classification of Malicious Traffic Using TensorFlow Machine Learning

Li Der Chou; Chia Wei Tseng; Meng Sheng Lai; Wei Yu Chen; Kuo Chung Chen; Chia Kuan Yen; Tsung Fu Ou; Wei Hsiang Tsai; Yi Hsuan Chiu

doi:10.1109/ICTC.2018.8539685

Classification of Malicious Traffic Using TensorFlow Machine Learning

Li Der Chou, Chia Wei Tseng, Meng Sheng Lai, Wei Yu Chen, Kuo Chung Chen, Chia Kuan Yen, Tsung Fu Ou, Wei Hsiang Tsai, Yi Hsuan Chiu

資訊工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

8 引文斯高帕斯（Scopus）

摘要

With the rapid development of the Internet and the innovative attacks, information security has become an important issue for system administrators and users. Because the traditional intrusion detection system is based on misuse detection technology, the disadvantage is that it needs constant updating of the feature database to cope with attacks from variant malware. This paper proposes a framework of deep learning model by using the TensorFlow platform and utilizes the NSL-KDD data set for training and testing the proposed framework. Experimental results show the proposed methodology can effectively classify malicious traffic categories.

原文	???core.languages.en_GB???
主出版物標題	9th International Conference on Information and Communication Technology Convergence
主出版物子標題	ICT Convergence Powered by Smart Intelligence, ICTC 2018
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	186-190
頁數	5
ISBN（電子）	9781538650400
DOIs	https://doi.org/10.1109/ICTC.2018.8539685
出版狀態	已出版 - 16 11月 2018
事件	9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of 持續時間: 17 10月 2018 → 19 10月 2018

出版系列

名字	9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	9th International Conference on Information and Communication Technology Convergence, ICTC 2018
國家/地區	Korea, Republic of
城市	Jeju Island
期間	17/10/18 → 19/10/18

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10.1109/ICTC.2018.8539685

基於SDN與NFV之訊務卸載分流管理機制(3/3)
Chou, L.-D. (PI)
1/08/18 → 31/08/19
研究計畫: Research
運用SDN與NFV佈建虛擬網路功能技術研究(I)
Hsu, F.-H. (PI)
1/01/18 → 31/12/18
研究計畫: Research
SDN 網路中基於 NFV 與 SFC 之服務管理機制(3/3)
Chou, L.-D. (PI)
1/08/17 → 31/07/18
研究計畫: Research

引用此

Chou, L. D., Tseng, C. W., Lai, M. S., Chen, W. Y., Chen, K. C., Yen, C. K., Ou, T. F., Tsai, W. H., & Chiu, Y. H. (2018). Classification of Malicious Traffic Using TensorFlow Machine Learning. 於 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 (頁 186-190). 文章 8539685 (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2018.8539685

Chou, Li Der ; Tseng, Chia Wei ; Lai, Meng Sheng 等. / Classification of Malicious Traffic Using TensorFlow Machine Learning. 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 頁 186-190 (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018).

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title = "Classification of Malicious Traffic Using TensorFlow Machine Learning",

abstract = "With the rapid development of the Internet and the innovative attacks, information security has become an important issue for system administrators and users. Because the traditional intrusion detection system is based on misuse detection technology, the disadvantage is that it needs constant updating of the feature database to cope with attacks from variant malware. This paper proposes a framework of deep learning model by using the TensorFlow platform and utilizes the NSL-KDD data set for training and testing the proposed framework. Experimental results show the proposed methodology can effectively classify malicious traffic categories.",

keywords = "IDS, KDD Dataset, Machine Learning, TensorFlow, Traffic Classification",

author = "Chou, {Li Der} and Tseng, {Chia Wei} and Lai, {Meng Sheng} and Chen, {Wei Yu} and Chen, {Kuo Chung} and Yen, {Chia Kuan} and Ou, {Tsung Fu} and Tsai, {Wei Hsiang} and Chiu, {Yi Hsuan}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 ; Conference date: 17-10-2018 Through 19-10-2018",

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doi = "10.1109/ICTC.2018.8539685",

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series = "9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018",

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Chou, LD, Tseng, CW, Lai, MS, Chen, WY, Chen, KC, Yen, CK, Ou, TF, Tsai, WH & Chiu, YH 2018, Classification of Malicious Traffic Using TensorFlow Machine Learning. 於 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018., 8539685, 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, Institute of Electrical and Electronics Engineers Inc., 頁 186-190, 9th International Conference on Information and Communication Technology Convergence, ICTC 2018, Jeju Island, Korea, Republic of, 17/10/18. https://doi.org/10.1109/ICTC.2018.8539685

Classification of Malicious Traffic Using TensorFlow Machine Learning. / Chou, Li Der; Tseng, Chia Wei; Lai, Meng Sheng 等.
9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 186-190 8539685 (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Classification of Malicious Traffic Using TensorFlow Machine Learning

AU - Chou, Li Der

AU - Tseng, Chia Wei

AU - Lai, Meng Sheng

AU - Chen, Wei Yu

AU - Chen, Kuo Chung

AU - Yen, Chia Kuan

AU - Ou, Tsung Fu

AU - Tsai, Wei Hsiang

AU - Chiu, Yi Hsuan

PY - 2018/11/16

Y1 - 2018/11/16

N2 - With the rapid development of the Internet and the innovative attacks, information security has become an important issue for system administrators and users. Because the traditional intrusion detection system is based on misuse detection technology, the disadvantage is that it needs constant updating of the feature database to cope with attacks from variant malware. This paper proposes a framework of deep learning model by using the TensorFlow platform and utilizes the NSL-KDD data set for training and testing the proposed framework. Experimental results show the proposed methodology can effectively classify malicious traffic categories.

AB - With the rapid development of the Internet and the innovative attacks, information security has become an important issue for system administrators and users. Because the traditional intrusion detection system is based on misuse detection technology, the disadvantage is that it needs constant updating of the feature database to cope with attacks from variant malware. This paper proposes a framework of deep learning model by using the TensorFlow platform and utilizes the NSL-KDD data set for training and testing the proposed framework. Experimental results show the proposed methodology can effectively classify malicious traffic categories.

KW - IDS

KW - KDD Dataset

KW - Machine Learning

KW - TensorFlow

KW - Traffic Classification

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T3 - 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

SP - 186

EP - 190

BT - 9th International Conference on Information and Communication Technology Convergence

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Information and Communication Technology Convergence, ICTC 2018

Y2 - 17 October 2018 through 19 October 2018

ER -

Chou LD, Tseng CW, Lai MS, Chen WY, Chen KC, Yen CK 等. Classification of Malicious Traffic Using TensorFlow Machine Learning. 於 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 186-190. 8539685. (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018). doi: 10.1109/ICTC.2018.8539685

Classification of Malicious Traffic Using TensorFlow Machine Learning

摘要

出版系列

???event.eventtypes.event.conference???

存取文件

指紋

專案

基於SDN與NFV之訊務卸載分流管理機制(3/3)

運用SDN與NFV佈建虛擬網路功能技術研究(I)

SDN 網路中基於 NFV 與 SFC 之服務管理機制(3/3)

引用此