Projects per year
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.
Original language | English |
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Title of host publication | 9th International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | ICT Convergence Powered by Smart Intelligence, ICTC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 186-190 |
Number of pages | 5 |
ISBN (Electronic) | 9781538650400 |
DOIs | |
State | Published - 16 Nov 2018 |
Event | 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of Duration: 17 Oct 2018 → 19 Oct 2018 |
Publication series
Name | 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 |
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Conference
Conference | 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 17/10/18 → 19/10/18 |
Keywords
- IDS
- KDD Dataset
- Machine Learning
- TensorFlow
- Traffic Classification
Fingerprint
Dive into the research topics of 'Classification of Malicious Traffic Using TensorFlow Machine Learning'. Together they form a unique fingerprint.Projects
- 3 Finished
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Study of VI rtual Network Function Development Based on Software Defined Networking and Network Function VI rtualization (I)
Hsu, F.-H. (PI)
1/01/18 → 31/12/18
Project: Research
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Service Management Mechanisms Based on Network Function Vi Rtualization and Service Function Chaining in Sdn Networks(3/3)
Chou, L.-D. (PI)
1/08/17 → 31/07/18
Project: Research